Natural Language Query System Design for Interactive Information Storage and Retrieval Systems. M.S. Thesis

NASA Technical Reports Server (NTRS)

Dominick, Wayne D. (Editor); Liu, I-Hsiung

1985-01-01

The currently developed multi-level language interfaces of information systems are generally designed for experienced users. These interfaces commonly ignore the nature and needs of the largest user group, i.e., casual users. This research identifies the importance of natural language query system research within information storage and retrieval system development; addresses the topics of developing such a query system; and finally, proposes a framework for the development of natural language query systems in order to facilitate the communication between casual users and information storage and retrieval systems.

Survey of Natural Language Processing Techniques in Bioinformatics.

PubMed

Zeng, Zhiqiang; Shi, Hua; Wu, Yun; Hong, Zhiling

2015-01-01

Informatics methods, such as text mining and natural language processing, are always involved in bioinformatics research. In this study, we discuss text mining and natural language processing methods in bioinformatics from two perspectives. First, we aim to search for knowledge on biology, retrieve references using text mining methods, and reconstruct databases. For example, protein-protein interactions and gene-disease relationship can be mined from PubMed. Then, we analyze the applications of text mining and natural language processing techniques in bioinformatics, including predicting protein structure and function, detecting noncoding RNA. Finally, numerous methods and applications, as well as their contributions to bioinformatics, are discussed for future use by text mining and natural language processing researchers.

Steering the conversation: A linguistic exploration of natural language interactions with a digital assistant during simulated driving.

PubMed

Large, David R; Clark, Leigh; Quandt, Annie; Burnett, Gary; Skrypchuk, Lee

2017-09-01

Given the proliferation of 'intelligent' and 'socially-aware' digital assistants embodying everyday mobile technology - and the undeniable logic that utilising voice-activated controls and interfaces in cars reduces the visual and manual distraction of interacting with in-vehicle devices - it appears inevitable that next generation vehicles will be embodied by digital assistants and utilise spoken language as a method of interaction. From a design perspective, defining the language and interaction style that a digital driving assistant should adopt is contingent on the role that they play within the social fabric and context in which they are situated. We therefore conducted a qualitative, Wizard-of-Oz study to explore how drivers might interact linguistically with a natural language digital driving assistant. Twenty-five participants drove for 10 min in a medium-fidelity driving simulator while interacting with a state-of-the-art, high-functioning, conversational digital driving assistant. All exchanges were transcribed and analysed using recognised linguistic techniques, such as discourse and conversation analysis, normally reserved for interpersonal investigation. Language usage patterns demonstrate that interactions with the digital assistant were fundamentally social in nature, with participants affording the assistant equal social status and high-level cognitive processing capability. For example, participants were polite, actively controlled turn-taking during the conversation, and used back-channelling, fillers and hesitation, as they might in human communication. Furthermore, participants expected the digital assistant to understand and process complex requests mitigated with hedging words and expressions, and peppered with vague language and deictic references requiring shared contextual information and mutual understanding. Findings are presented in six themes which emerged during the analysis - formulating responses; turn-taking; back-channelling, fillers and hesitation; vague language; mitigating requests and politeness and praise. The results can be used to inform the design of future in-vehicle natural language systems, in particular to help manage the tension between designing for an engaging dialogue (important for technology acceptance) and designing for an effective dialogue (important to minimise distraction in a driving context). Copyright © 2017 Elsevier Ltd. All rights reserved.

Query2Question: Translating Visualization Interaction into Natural Language.

PubMed

Nafari, Maryam; Weaver, Chris

2015-06-01

Richly interactive visualization tools are increasingly popular for data exploration and analysis in a wide variety of domains. Existing systems and techniques for recording provenance of interaction focus either on comprehensive automated recording of low-level interaction events or on idiosyncratic manual transcription of high-level analysis activities. In this paper, we present the architecture and translation design of a query-to-question (Q2Q) system that automatically records user interactions and presents them semantically using natural language (written English). Q2Q takes advantage of domain knowledge and uses natural language generation (NLG) techniques to translate and transcribe a progression of interactive visualization states into a visual log of styled text that complements and effectively extends the functionality of visualization tools. We present Q2Q as a means to support a cross-examination process in which questions rather than interactions are the focus of analytic reasoning and action. We describe the architecture and implementation of the Q2Q system, discuss key design factors and variations that effect question generation, and present several visualizations that incorporate Q2Q for analysis in a variety of knowledge domains.

Towards Automatic Treatment of Natural Language.

ERIC Educational Resources Information Center

Lonsdale, Deryle

1984-01-01

Because automated natural language processing relies heavily on the still developing fields of linguistics, knowledge representation, and computational linguistics, no system is capable of mimicking human linguistic capabilities. For the present, interactive systems may be used to augment today's technology. (MSE)

Web 2.0 and Authentic Foreign Language Learning at Higher Education Level

ERIC Educational Resources Information Center

Martins, Maria de Lurdes Correia; Moreira, Gillian; Moreira, António

2012-01-01

Web 2.0 has afforded a number of opportunities for foreign language learning due to its open, participatory and social nature. A crucial aspect is authenticity--both situational and interactional--since students become involved in meaningful tasks, interacting in the target language with an authentic audience. In this paper we will reflect upon…

Language Learning--An Intellectual Challenge?

ERIC Educational Resources Information Center

Ager, Dennis E.

1985-01-01

Looks at the debate over whether foreign language study is intellectually challenging. Examines four points in the debate: the contrast between content and skill; the nature of the learning and teaching material; the nature of classroom interaction; and the idea of osmosis. (SED)

The continuing legacy of nature versus nurture in biolinguistics.

PubMed

Bowling, Daniel L

2017-02-01

Theories of language evolution that separate biological and cultural contributions perpetuate a false dichotomy between nature and nurture. The explanatory power of future theories will depend on acknowledging the reality of gene-culture interaction and how it makes language possible.

Language and Social Identity Construction: A Study of a Russian Heritage Language Orthodox Christian School

ERIC Educational Resources Information Center

Moore, Ekaterina Leonidovna

2012-01-01

Grounded in discourse analytic and language socialization paradigms, this dissertation examines issues of language and social identity construction in children attending a Russian Heritage Language Orthodox Christian Saturday School in California. By conducting micro-analysis of naturally-occurring talk-in-interaction combined with longitudinal…

Interactive natural language acquisition in a multi-modal recurrent neural architecture

NASA Astrophysics Data System (ADS)

Heinrich, Stefan; Wermter, Stefan

2018-01-01

For the complex human brain that enables us to communicate in natural language, we gathered good understandings of principles underlying language acquisition and processing, knowledge about sociocultural conditions, and insights into activity patterns in the brain. However, we were not yet able to understand the behavioural and mechanistic characteristics for natural language and how mechanisms in the brain allow to acquire and process language. In bridging the insights from behavioural psychology and neuroscience, the goal of this paper is to contribute a computational understanding of appropriate characteristics that favour language acquisition. Accordingly, we provide concepts and refinements in cognitive modelling regarding principles and mechanisms in the brain and propose a neurocognitively plausible model for embodied language acquisition from real-world interaction of a humanoid robot with its environment. In particular, the architecture consists of a continuous time recurrent neural network, where parts have different leakage characteristics and thus operate on multiple timescales for every modality and the association of the higher level nodes of all modalities into cell assemblies. The model is capable of learning language production grounded in both, temporal dynamic somatosensation and vision, and features hierarchical concept abstraction, concept decomposition, multi-modal integration, and self-organisation of latent representations.

Context and the Psychoeducational Assessment of Hearing Impaired Children.

ERIC Educational Resources Information Center

Ray, Steven

1989-01-01

This discussion of psychoeducational assessment of hearing-impaired students and the influence of language competence focuses on: the nature of the interaction between cognition and language, the nonpragmatic nature of traditional assessments, approaches to reducing intelligence test bias, pragmatic violations in intellectual assessment, and…

Natural language processing and the Now-or-Never bottleneck.

PubMed

Gómez-Rodríguez, Carlos

2016-01-01

Researchers, motivated by the need to improve the efficiency of natural language processing tools to handle web-scale data, have recently arrived at models that remarkably match the expected features of human language processing under the Now-or-Never bottleneck framework. This provides additional support for said framework and highlights the research potential in the interaction between applied computational linguistics and cognitive science.

Pinky Extension as a Phonestheme in Mongolian Sign Language

ERIC Educational Resources Information Center

Healy, Christina

2011-01-01

Mongolian Sign Language (MSL) is a visual-gestural language that developed from multiple languages interacting as a result of both geographic proximity and political relations and of the natural development of a communication system by deaf community members. Similar to the phonological systems of other signed languages, MSL combines handshapes,…

A Diagrammatic Language for Biochemical Networks

NASA Astrophysics Data System (ADS)

Maimon, Ron

2002-03-01

I present a diagrammatic language for representing the structure of biochemical networks. The language is designed to represent modular structure in a computational fasion, with composition of reactions replacing functional composition. This notation is used to represent arbitrarily large networks efficiently. The notation finds its most natural use in representing biological interaction networks, but it is a general computing language appropriate to any naturally occuring computation. Unlike lambda-calculus, or text-derived languages, it does not impose a tree-structure on the diagrams, and so is more effective at representing biological fucntion than competing notations.

Multimodal Application for Foreign Language Teaching

ERIC Educational Resources Information Center

Magal-Royo, Teresa; Gimenez-Lopez, Jose Luis; Pairy, Blas; Garcia-Laborda, Jesus; Gonzalez-Del Rio, Jimena

2011-01-01

The current development of educational applications for language learning has experienced a qualitative change in the criteria of interaction between users and devices due to the technological advances of input and output data through keyboard, mouse, stylus, tactile screen, etc. The multiple interactions generated in a natural way by humans…

Interaction Between Syntactic Structure and Information Structure in the Processing of a Head-Final Language.

PubMed

Koizumi, Masatoshi; Imamura, Satoshi

2017-02-01

The effects of syntactic and information structures on sentence processing load were investigated using two reading comprehension experiments in Japanese, a head-final SOV language. In the first experiment, we discovered the main effects of syntactic and information structures, as well as their interaction, showing that interaction of these two factors is not restricted to head-initial languages. The second experiment revealed that the interaction between syntactic structure and information structure occurs at the second NP (O of SOV and S of OSV), which, crucially, is a pre-head position, suggesting the incremental nature of the processing of both syntactic structure and information structure in head-final languages.

The Role of Oral Language Interactions in English Literacy Learning: A Case Study of a First Grade Korean Child

ERIC Educational Resources Information Center

Kim, Kwangok

2011-01-01

This paper is a qualitative case study of a Korean first grade child. The primary purpose of this study was to investigate the nature of a first grade Korean child's oral language interactions with teachers, parents, peers, and community members and to examine how a child's oral language impacts his literacy learning in English. The data were…

Bilingual Language Switching in the Laboratory versus in the Wild: The Spatiotemporal Dynamics of Adaptive Language Control

PubMed Central

2017-01-01

For a bilingual human, every utterance requires a choice about which language to use. This choice is commonly regarded as part of general executive control, engaging prefrontal and anterior cingulate cortices similarly to many types of effortful task switching. However, although language control within artificial switching paradigms has been heavily studied, the neurobiology of natural switching within socially cued situations has not been characterized. Additionally, although theoretical models address how language control mechanisms adapt to the distinct demands of different interactional contexts, these predictions have not been empirically tested. We used MEG (RRID: NIFINV:nlx_inv_090918) to investigate language switching in multiple contexts ranging from completely artificial to the comprehension of a fully natural bilingual conversation recorded “in the wild.” Our results showed less anterior cingulate and prefrontal cortex involvement for more natural switching. In production, voluntary switching did not engage the prefrontal cortex or elicit behavioral switch costs. In comprehension, while laboratory switches recruited executive control areas, fully natural switching within a conversation only engaged auditory cortices. Multivariate pattern analyses revealed that, in production, interlocutor identity was represented in a sustained fashion throughout the different stages of language planning until speech onset. In comprehension, however, a biphasic pattern was observed: interlocutor identity was first represented at the presentation of the interlocutor and then again at the presentation of the auditory word. In all, our findings underscore the importance of ecologically valid experimental paradigms and offer the first neurophysiological characterization of language control in a range of situations simulating real life to various degrees. SIGNIFICANCE STATEMENT Bilingualism is an inherently social phenomenon, interactional context fully determining language choice. This research addresses the neural mechanisms underlying multilingual individuals' ability to successfully adapt to varying conversational contexts both while speaking and listening. Our results showed that interactional context critically determines language control networks' engagement: switching under external constraints heavily recruited prefrontal control regions, whereas natural, voluntary switching did not. These findings challenge conclusions derived from artificial switching paradigms, which suggested that language switching is intrinsically effortful. Further, our results predict that the so-called bilingual advantage should be limited to individuals who need to control their languages according to external cues and thus would not occur by virtue of an experience in which switching is fully free. PMID:28821648

Speech perception and reading: two parallel modes of understanding language and implications for acquiring literacy naturally.

PubMed

Massaro, Dominic W

2012-01-01

I review 2 seminal research reports published in this journal during its second decade more than a century ago. Given psychology's subdisciplines, they would not normally be reviewed together because one involves reading and the other speech perception. The small amount of interaction between these domains might have limited research and theoretical progress. In fact, the 2 early research reports revealed common processes involved in these 2 forms of language processing. Their illustration of the role of Wundt's apperceptive process in reading and speech perception anticipated descriptions of contemporary theories of pattern recognition, such as the fuzzy logical model of perception. Based on the commonalities between reading and listening, one can question why they have been viewed so differently. It is commonly believed that learning to read requires formal instruction and schooling, whereas spoken language is acquired from birth onward through natural interactions with people who talk. Most researchers and educators believe that spoken language is acquired naturally from birth onward and even prenatally. Learning to read, on the other hand, is not possible until the child has acquired spoken language, reaches school age, and receives formal instruction. If an appropriate form of written text is made available early in a child's life, however, the current hypothesis is that reading will also be learned inductively and emerge naturally, with no significant negative consequences. If this proposal is true, it should soon be possible to create an interactive system, Technology Assisted Reading Acquisition, to allow children to acquire literacy naturally.

Language Acquisition by Children with Down Syndrome: A Naturalistic Approach to Assisting Language Acquisition

ERIC Educational Resources Information Center

Vilaseca, R.M.; Del Rio, M-J.

2004-01-01

Many child language studies emphasize the value of verbal and social support, of 'scaffolding' processes and mutual adjustments that naturally occur in adult-child interactions in everyday contexts. Based on such theories, this study attempted to improve the language and communication skills in children with special educational needs through…

Some Implications of Research in Second Language Acquisition for Foreign Language Teaching.

ERIC Educational Resources Information Center

Lombardo, Linda

On the continuum along which theories of first and second language acquisition are located, the two extremes represent the classic controversy of nature (nativist) vs. nurture (environmentalist), while those in the middle view language acquisition as a result of a more or less balanced interaction between innate capacities and linguistic…

Learning from a Computer Tutor with Natural Language Capabilities

ERIC Educational Resources Information Center

Michael, Joel; Rovick, Allen; Glass, Michael; Zhou, Yujian; Evens, Martha

2003-01-01

CIRCSIM-Tutor is a computer tutor designed to carry out a natural language dialogue with a medical student. Its domain is the baroreceptor reflex, the part of the cardiovascular system that is responsible for maintaining a constant blood pressure. CIRCSIM-Tutor's interaction with students is modeled after the tutoring behavior of two experienced…

Does It Really Matter whether Students' Contributions Are Spoken versus Typed in an Intelligent Tutoring System with Natural Language?

ERIC Educational Resources Information Center

D'Mello, Sidney K.; Dowell, Nia; Graesser, Arthur

2011-01-01

There is the question of whether learning differs when students speak versus type their responses when interacting with intelligent tutoring systems with natural language dialogues. Theoretical bases exist for three contrasting hypotheses. The "speech facilitation" hypothesis predicts that spoken input will "increase" learning,…

The Use of Interactive Whiteboards: Enhancing the Nature of Teaching Young Language Learners

ERIC Educational Resources Information Center

Giannikas, Christina Nicole

2016-01-01

Language teaching can be enhanced by effective uses of technology; nonetheless, there are teachers who are reluctant to integrate technology in their practice. The debated issue has resulted in a number of Ministries of Education worldwide, including the Greek Ministry, to support a transition through the introduction of Interactive Whiteboards…

Peer-Directed Communicative Interactions of Augmented Language Learners with Mental Retardation.

ERIC Educational Resources Information Center

Romski, Mary Ann; And Others

1994-01-01

Evaluation of naturally occurring peer-directed communicative interactions of 13 youth with moderate to severe mental retardation and little or no functional speech, who used the System for Augmenting Language as their primary means of communication, found that the system was an integral component of successful and effective conversations and…

An overview of computer-based natural language processing

NASA Technical Reports Server (NTRS)

Gevarter, W. B.

1983-01-01

Computer based Natural Language Processing (NLP) is the key to enabling humans and their computer based creations to interact with machines in natural language (like English, Japanese, German, etc., in contrast to formal computer languages). The doors that such an achievement can open have made this a major research area in Artificial Intelligence and Computational Linguistics. Commercial natural language interfaces to computers have recently entered the market and future looks bright for other applications as well. This report reviews the basic approaches to such systems, the techniques utilized, applications, the state of the art of the technology, issues and research requirements, the major participants and finally, future trends and expectations. It is anticipated that this report will prove useful to engineering and research managers, potential users, and others who will be affected by this field as it unfolds.

Review of Knowledge Enhanced Electronic Logic (KEEL) Technology

DTIC Science & Technology

2016-09-01

compiled. Two KEEL Engine processing models are available for most languages : The “Normal Model” processes information as if it was processed on an... language also makes it easy to “see” the functional relationships and the dynamic (interactive) nature of the language , allows one to interact with...for the Accelerated Processing Model ( Patent number 7,512,581 (3/31/2009)). In June 2006, application US 11/446/801 was submitted to support

Distance Video-Teleconferencing in Early Intervention: Pilot Study of a Naturalistic Parent-Implemented Language Intervention

ERIC Educational Resources Information Center

McDuffie, Andrea; Machalicek, Wendy; Oakes, Ashley; Haebig, Eileen; Weismer, Susan Ellis; Abbeduto, Leonard

2013-01-01

Maternal verbal responsiveness in naturally occurring interactions is known to facilitate language development for children with neurodevelopmental disorders. The present study used a series of A-B replications to examine proximal effects of a naturalistic language intervention on the use of specific language support strategies by mothers of eight…

Self-Regulated Learning in Learning Environments with Pedagogical Agents that Interact in Natural Language

ERIC Educational Resources Information Center

Graesser, Arthur; McNamara, Danielle

2010-01-01

This article discusses the occurrence and measurement of self-regulated learning (SRL) both in human tutoring and in computer tutors with agents that hold conversations with students in natural language and help them learn at deeper levels. One challenge in building these computer tutors is to accommodate, encourage, and scaffold SRL because these…

Pre-Service EFL Teachers' Reported Perceptions of Their Development through SETT Experience

ERIC Educational Resources Information Center

Asik, Asuman; Kuru Gönen, S. Ipek

2016-01-01

Recent years have witnessed increasing attention to the role of interaction in the classroom. Regarding the dynamic nature of language classrooms, teacher talk is assumed to promote interaction. Based on this assumption, this paper aims at investigating EFL teachers' perceptions of their use of teacher talk and how analysis of language use…

The emergence of Zipf's law - Spontaneous encoding optimization by users of a command language

NASA Technical Reports Server (NTRS)

Ellis, S. R.; Hitchcock, R. J.

1986-01-01

The distribution of commands issued by experienced users of a computer operating system allowing command customization tends to conform to Zipf's law. This result documents the emergence of a statistical property of natural language as users master an artificial language. Analysis of Zipf's law by Mandelbrot and Cherry shows that its emergence in the computer interaction of experienced users may be interpreted as evidence that these users optimize their encoding of commands. Accordingly, the extent to which users of a command language exhibit Zipf's law can provide a metric of the naturalness and efficiency with which that language is used.

Social Interaction Affects Neural Outcomes of Sign Language Learning As a Foreign Language in Adults.

PubMed

Yusa, Noriaki; Kim, Jungho; Koizumi, Masatoshi; Sugiura, Motoaki; Kawashima, Ryuta

2017-01-01

Children naturally acquire a language in social contexts where they interact with their caregivers. Indeed, research shows that social interaction facilitates lexical and phonological development at the early stages of child language acquisition. It is not clear, however, whether the relationship between social interaction and learning applies to adult second language acquisition of syntactic rules. Does learning second language syntactic rules through social interactions with a native speaker or without such interactions impact behavior and the brain? The current study aims to answer this question. Adult Japanese participants learned a new foreign language, Japanese sign language (JSL), either through a native deaf signer or via DVDs. Neural correlates of acquiring new linguistic knowledge were investigated using functional magnetic resonance imaging (fMRI). The participants in each group were indistinguishable in terms of their behavioral data after the instruction. The fMRI data, however, revealed significant differences in the neural activities between two groups. Significant activations in the left inferior frontal gyrus (IFG) were found for the participants who learned JSL through interactions with the native signer. In contrast, no cortical activation change in the left IFG was found for the group who experienced the same visual input for the same duration via the DVD presentation. Given that the left IFG is involved in the syntactic processing of language, spoken or signed, learning through social interactions resulted in an fMRI signature typical of native speakers: activation of the left IFG. Thus, broadly speaking, availability of communicative interaction is necessary for second language acquisition and this results in observed changes in the brain.

LLOGO: An Implementation of LOGO in LISP. Artificial Intelligence Memo Number 307.

ERIC Educational Resources Information Center

Goldstein, Ira; And Others

LISP LOGO is a computer language invented for the beginning student of man-machine interaction. The language has the advantages of simplicity and naturalness as well as that of emphasizing the difference between programs and data. The language is based on the LOGO language and uses mnemonic syllables as commands. It can be used in conjunction with…

CPP-TRS(C): On using visual cognitive symbols to enhance communication effectiveness

NASA Technical Reports Server (NTRS)

Tonfoni, Graziella

1994-01-01

Communicative Positioning Program/Text Representation Systems (CPP-TRS) is a visual language based on a system of 12 canvasses, 10 signals and 14 symbols. CPP-TRS is based on the fact that every communication action is the result of a set of cognitive processes and the whole system is based on the concept that you can enhance communication by visually perceiving text. With a simple syntax, CPP-TRS is capable of representing meaning and intention as well as communication functions visually. Those are precisely invisible aspects of natural language that are most relevant to getting the global meaning of a text. CPP-TRS reinforces natural language in human machine interaction systems. It complements natural language by adding certain important elements that are not represented by natural language by itself. These include communication intention and function of the text expressed by the sender, as well as the role the reader is supposed to play. The communication intention and function of a text and the reader's role are invisible in natural language because neither specific words nor punctuation conveys them sufficiently and unambiguously; they are therefore non-transparent.

ESL students learning biology: The role of language and social interactions

NASA Astrophysics Data System (ADS)

Jaipal, Kamini

This study explored three aspects related to ESL students in a mainstream grade 11 biology classroom: (1) the nature of students' participation in classroom activities, (2) the factors that enhanced or constrained ESL students' engagement in social interactions, and (3) the role of language in the learning of science. Ten ESL students were observed over an eight-month period in this biology classroom. Data were collected using qualitative research methods such as participant observation, audio-recordings of lessons, field notes, semi-structured interviews, short lesson recall interviews and students' written work. The study was framed within sociocultural perspectives, particularly the social constructivist perspectives of Vygotsky (1962, 1978) and Wertsch (1991). Data were analysed with respect to the three research aspects. Firstly, the findings showed that ESL students' preferred and exhibited a variety of participation practices that ranged from personal-individual to socio-interactive in nature. Both personal-individual and socio-interactive practices appeared to support science and language learning. Secondly, the findings indicated that ESL students' engagement in classroom social interactions was most likely influenced by the complex interactions between a number of competing factors at the individual, interpersonal and community/cultural levels (Rogoff, Radziszewska, & Masiello, 1995). In this study, six factors that appeared to enhance or constrain ESL students' engagement in classroom social interactions were identified. These factors were socio-cultural factors, prior classroom practice, teaching practices, affective factors, English language proficiency, and participation in the research project. Thirdly, the findings indicated that language played a significant mediational role in ESL students' learning of science. The data revealed that the learning of science terms and concepts can be explained by a functional model of language that includes: (1) the use of discourse to construct meanings, (2) multiple semiotic representations of the thing/process, and (3) constructing taxonomies and ways of reasoning. Other important findings were: talking about language is integral to biology teaching and learning, ESL students' prior knowledge of everyday words does not necessarily help them interpret written questions on worksheets, and ESL students' prior knowledge of concepts in their first language does not necessarily support concept learning in the second language.

Caregiver communication to the child as moderator and mediator of genes for language.

PubMed

Onnis, Luca

2017-05-15

Human language appears to be unique among natural communication systems, and such uniqueness impinges on both nature and nurture. Human babies are endowed with cognitive abilities that predispose them to learn language, and this process cannot operate in an impoverished environment. To be effectively complete the acquisition of human language in human children requires highly socialised forms of learning, scaffolded over years of prolonged and intense caretaker-child interactions. How genes and environment operate in shaping language is unknown. These two components have traditionally been considered as independent, and often pitted against each other in terms of the nature versus nurture debate. This perspective article considers how innate abilities and experience might instead work together. In particular, it envisages potential scenarios for research, in which early caregiver verbal and non-verbal attachment practices may mediate or moderate the expression of human genetic systems for language. Copyright © 2017 Elsevier B.V. All rights reserved.

Function, Type, and Distribution of Teacher Questions in Dual-Language Preschool Read Alouds

ERIC Educational Resources Information Center

Gort, Mileidis; Pontier, Ryan W.; Sembiante, Sabrina F.

2012-01-01

This exploratory study investigated the nature and distribution of dual-language preschool teachers' questions across parallel Spanish- and English-medium read-aloud activities. The notions of comprehensible input (Krashen, 1985) and language output (Swain, 1985), along with a reciprocal interaction model of teaching (Cummins, 2000), guided our…

Evolution: Language Use and the Evolution of Languages

NASA Astrophysics Data System (ADS)

Croft, William

Language change can be understood as an evolutionary process. Language change occurs at two different timescales, corresponding to the two steps of the evolutionary process. The first timescale is very short, namely, the production of an utterance: this is where linguistic structures are replicated and language variation is generated. The second timescale is (or can be) very long, namely, the propagation of linguistic variants in the speech community: this is where certain variants are selected over others. At both timescales, the evolutionary process is driven by social interaction and the role language plays in it. An understanding of social interaction at the micro-level—face-to-face interactions—and at the macro-level—the structure of speech communities—gives us the basis for understanding the generation and propagation of language structures, and understanding the nature of language itself.

CE-SAM: a conversational interface for ISR mission support

NASA Astrophysics Data System (ADS)

Pizzocaro, Diego; Parizas, Christos; Preece, Alun; Braines, Dave; Mott, David; Bakdash, Jonathan Z.

2013-05-01

There is considerable interest in natural language conversational interfaces. These allow for complex user interactions with systems, such as fulfilling information requirements in dynamic environments, without requiring extensive training or a technical background (e.g. in formal query languages or schemas). To leverage the advantages of conversational interactions we propose CE-SAM (Controlled English Sensor Assignment to Missions), a system that guides users through refining and satisfying their information needs in the context of Intelligence, Surveillance, and Reconnaissance (ISR) operations. The rapidly-increasing availability of sensing assets and other information sources poses substantial challenges to effective ISR resource management. In a coalition context, the problem is even more complex, because assets may be "owned" by different partners. We show how CE-SAM allows a user to refine and relate their ISR information needs to pre-existing concepts in an ISR knowledge base, via conversational interaction implemented on a tablet device. The knowledge base is represented using Controlled English (CE) - a form of controlled natural language that is both human-readable and machine processable (i.e. can be used to implement automated reasoning). Users interact with the CE-SAM conversational interface using natural language, which the system converts to CE for feeding-back to the user for confirmation (e.g. to reduce misunderstanding). We show that this process not only allows users to access the assets that can support their mission needs, but also assists them in extending the CE knowledge base with new concepts.

Communication Patterns between Internationally Adopted Children and Their Mothers: Implications for Language Development

ERIC Educational Resources Information Center

Gauthier, K.; Genesee, F.; Dubois, M. E.; Kasparian K.

2013-01-01

This study presents findings on patterns of communication between internationally adopted children and their mothers in order to better understand the nature of these interactions and their influence on language learning. We examined maternal language use and joint attention behaviors of mothers and their children in 21 mother-child pairs: 10…

Divide and Recombine for Large Complex Data

DTIC Science & Technology

2017-12-01

Empirical Methods in Natural Language Processing , October 2014 Keywords Enter keywords for the publication. URL Enter the URL...low-latency data processing systems. Declarative Languages for Interactive Visualization: The Reactive Vega Stack Another thread of XDATA research...for array processing operations embedded in the R programming language . Vector virtual machines work well for long vectors. One of the most

"The Craft so Long to Lerne": Aspects of Time in Language Learning

ERIC Educational Resources Information Center

Oxford, Rebecca L.

2017-01-01

Time factors complexly, dynamically interact with each other and with other contextualized variables in language learning. The time-tied nature of language learning is captured in what I call the "time-prism," which is the central symbol of temporality in this paper. The facets of the prism discussed in this article are (1) language…

Investigating Affordance of Opportunity for Young Children's Language Interactions in a Nursery Setting: How Can Small Group Talk Act as a Forum for Language Learning?

ERIC Educational Resources Information Center

King, Sarah Elizabeth; Dockrell, Julie E.

2016-01-01

The importance of research on the unique nature of the communication supporting environment in nurseries has been heightened by growing evidence of the significance of early language skills for later academic and social development. This study focussed on children's language use during small group times. Opportunities to hear and practise language…

Innateness and culture in the evolution of language

PubMed Central

Kirby, Simon; Dowman, Mike; Griffiths, Thomas L.

2007-01-01

Human language arises from biological evolution, individual learning, and cultural transmission, but the interaction of these three processes has not been widely studied. We set out a formal framework for analyzing cultural transmission, which allows us to investigate how innate learning biases are related to universal properties of language. We show that cultural transmission can magnify weak biases into strong linguistic universals, undermining one of the arguments for strong innate constraints on language learning. As a consequence, the strength of innate biases can be shielded from natural selection, allowing these genes to drift. Furthermore, even when there is no natural selection, cultural transmission can produce apparent adaptations. Cultural transmission thus provides an alternative to traditional nativist and adaptationist explanations for the properties of human languages. PMID:17360393

Lexical Analysis to Enhance Man/Machine Interaction: Simplifying and Improving the Creation of Software. Final Report.

ERIC Educational Resources Information Center

Hutchins, Sandra E.

By analyzing the lexicology of natural language (English or other languages as they are commonly spoken or written), as compared to computer languages, this study explored the extent to which syntactic and semantic levels of linguistic analysis can be implemented and effectively used on microcomputers. In Phase I of the study, the Apple IIe with…

Encoding the structure of many-body localization with matrix product operators

NASA Astrophysics Data System (ADS)

Pekker, David; Clark, Bryan K.

2015-03-01

Anderson insulators are non-interacting disordered systems which have localized single particle eigenstates. The interacting analogue of Anderson insulators are the Many-Body Localized (MBL) phases. The natural language for representing the spectrum of the Anderson insulator is that of product states over the single-particle modes. We show that product states over Matrix Product Operators of small bond dimension is the corresponding natural language for describing the MBL phases. In this language all of the many-body eigenstates are encode by Matrix Product States (i.e. DMRG wave function) consisting of only two sets of low bond-dimension matrices per site: the Gi matrix corresponding to the local ground state on site i and the Ei matrix corresponding to the local excited state. All 2 n eigenstates can be generated from all possible combinations of these matrices.

Toys That Squeak: Toy Type Impacts Quality and Quantity of Parent-Child Interactions

ERIC Educational Resources Information Center

Miller, Jennifer L.; Lossia, Amanda; Suarez-Rivera, Catalina; Gros-Louis, Julie

2017-01-01

Given the dependent nature of parent-infant interactions necessary for language development, it is important to understand how context may influence these interactions. This study examines how contextual variables influence communicative, cognitive and social measures of parent-infant interactions. Specifically, how do feedback toys and…

Modelling of internal architecture of kinesin nanomotor as a machine language.

PubMed

Khataee, H R; Ibrahim, M Y

2012-09-01

Kinesin is a protein-based natural nanomotor that transports molecular cargoes within cells by walking along microtubules. Kinesin nanomotor is considered as a bio-nanoagent which is able to sense the cell through its sensors (i.e. its heads and tail), make the decision internally and perform actions on the cell through its actuator (i.e. its motor domain). The study maps the agent-based architectural model of internal decision-making process of kinesin nanomotor to a machine language using an automata algorithm. The applied automata algorithm receives the internal agent-based architectural model of kinesin nanomotor as a deterministic finite automaton (DFA) model and generates a regular machine language. The generated regular machine language was acceptable by the architectural DFA model of the nanomotor and also in good agreement with its natural behaviour. The internal agent-based architectural model of kinesin nanomotor indicates the degree of autonomy and intelligence of the nanomotor interactions with its cell. Thus, our developed regular machine language can model the degree of autonomy and intelligence of kinesin nanomotor interactions with its cell as a language. Modelling of internal architectures of autonomous and intelligent bio-nanosystems as machine languages can lay the foundation towards the concept of bio-nanoswarms and next phases of the bio-nanorobotic systems development.

Neural substrates of interactive musical improvisation: an FMRI study of 'trading fours' in jazz.

PubMed

Donnay, Gabriel F; Rankin, Summer K; Lopez-Gonzalez, Monica; Jiradejvong, Patpong; Limb, Charles J

2014-01-01

Interactive generative musical performance provides a suitable model for communication because, like natural linguistic discourse, it involves an exchange of ideas that is unpredictable, collaborative, and emergent. Here we show that interactive improvisation between two musicians is characterized by activation of perisylvian language areas linked to processing of syntactic elements in music, including inferior frontal gyrus and posterior superior temporal gyrus, and deactivation of angular gyrus and supramarginal gyrus, brain structures directly implicated in semantic processing of language. These findings support the hypothesis that musical discourse engages language areas of the brain specialized for processing of syntax but in a manner that is not contingent upon semantic processing. Therefore, we argue that neural regions for syntactic processing are not domain-specific for language but instead may be domain-general for communication.

Neural Substrates of Interactive Musical Improvisation: An fMRI Study of ‘Trading Fours’ in Jazz

PubMed Central

Donnay, Gabriel F.; Rankin, Summer K.; Lopez-Gonzalez, Monica; Jiradejvong, Patpong; Limb, Charles J.

2014-01-01

Interactive generative musical performance provides a suitable model for communication because, like natural linguistic discourse, it involves an exchange of ideas that is unpredictable, collaborative, and emergent. Here we show that interactive improvisation between two musicians is characterized by activation of perisylvian language areas linked to processing of syntactic elements in music, including inferior frontal gyrus and posterior superior temporal gyrus, and deactivation of angular gyrus and supramarginal gyrus, brain structures directly implicated in semantic processing of language. These findings support the hypothesis that musical discourse engages language areas of the brain specialized for processing of syntax but in a manner that is not contingent upon semantic processing. Therefore, we argue that neural regions for syntactic processing are not domain-specific for language but instead may be domain-general for communication. PMID:24586366

Real English Project Report.

ERIC Educational Resources Information Center

Cautin, Harvey; Regan, Edward

Requirements are discussed for an information retrieval language that enables users to employ natural language sentences in interaction with computer-stored files. Anticipated modes of operation of the system are outlined. These are: the search mode, the dictionary mode, the tables mode, and the statistical mode. Analysis of sample sentences…

Language learning, language use and the evolution of linguistic variation

PubMed Central

Perfors, Amy; Fehér, Olga; Samara, Anna; Swoboda, Kate; Wonnacott, Elizabeth

2017-01-01

Linguistic universals arise from the interaction between the processes of language learning and language use. A test case for the relationship between these factors is linguistic variation, which tends to be conditioned on linguistic or sociolinguistic criteria. How can we explain the scarcity of unpredictable variation in natural language, and to what extent is this property of language a straightforward reflection of biases in statistical learning? We review three strands of experimental work exploring these questions, and introduce a Bayesian model of the learning and transmission of linguistic variation along with a closely matched artificial language learning experiment with adult participants. Our results show that while the biases of language learners can potentially play a role in shaping linguistic systems, the relationship between biases of learners and the structure of languages is not straightforward. Weak biases can have strong effects on language structure as they accumulate over repeated transmission. But the opposite can also be true: strong biases can have weak or no effects. Furthermore, the use of language during interaction can reshape linguistic systems. Combining data and insights from studies of learning, transmission and use is therefore essential if we are to understand how biases in statistical learning interact with language transmission and language use to shape the structural properties of language. This article is part of the themed issue ‘New frontiers for statistical learning in the cognitive sciences’. PMID:27872370

Language learning, language use and the evolution of linguistic variation.

PubMed

Smith, Kenny; Perfors, Amy; Fehér, Olga; Samara, Anna; Swoboda, Kate; Wonnacott, Elizabeth

2017-01-05

Linguistic universals arise from the interaction between the processes of language learning and language use. A test case for the relationship between these factors is linguistic variation, which tends to be conditioned on linguistic or sociolinguistic criteria. How can we explain the scarcity of unpredictable variation in natural language, and to what extent is this property of language a straightforward reflection of biases in statistical learning? We review three strands of experimental work exploring these questions, and introduce a Bayesian model of the learning and transmission of linguistic variation along with a closely matched artificial language learning experiment with adult participants. Our results show that while the biases of language learners can potentially play a role in shaping linguistic systems, the relationship between biases of learners and the structure of languages is not straightforward. Weak biases can have strong effects on language structure as they accumulate over repeated transmission. But the opposite can also be true: strong biases can have weak or no effects. Furthermore, the use of language during interaction can reshape linguistic systems. Combining data and insights from studies of learning, transmission and use is therefore essential if we are to understand how biases in statistical learning interact with language transmission and language use to shape the structural properties of language.This article is part of the themed issue 'New frontiers for statistical learning in the cognitive sciences'. © 2016 The Authors.

The Nature of Negotiations in Face-to-Face versus Computer-Mediated Communication in Pair Interactions

ERIC Educational Resources Information Center

Rouhshad, Amir; Wigglesworth, Gillian; Storch, Neomy

2016-01-01

The Interaction Approach argues that negotiation for meaning and form is conducive to second language development. To date, most of the research on negotiations has been either in face-to-face (FTF) or text-based synchronous computer-mediated communication (SCMC) modes. Very few studies have compared the nature of negotiations across the modes.…

Natural language processing, pragmatics, and verbal behavior

PubMed Central

Cherpas, Chris

1992-01-01

Natural Language Processing (NLP) is that part of Artificial Intelligence (AI) concerned with endowing computers with verbal and listener repertoires, so that people can interact with them more easily. Most attention has been given to accurately parsing and generating syntactic structures, although NLP researchers are finding ways of handling the semantic content of language as well. It is increasingly apparent that understanding the pragmatic (contextual and consequential) dimension of natural language is critical for producing effective NLP systems. While there are some techniques for applying pragmatics in computer systems, they are piecemeal, crude, and lack an integrated theoretical foundation. Unfortunately, there is little awareness that Skinner's (1957) Verbal Behavior provides an extensive, principled pragmatic analysis of language. The implications of Skinner's functional analysis for NLP and for verbal aspects of epistemology lead to a proposal for a “user expert”—a computer system whose area of expertise is the long-term computer user. The evolutionary nature of behavior suggests an AI technology known as genetic algorithms/programming for implementing such a system. ImagesFig. 1 PMID:22477052

GRAMPS: a graphics language interpreter for real-time, interactive, three-dimensional picture editing and animation

DOE Office of Scientific and Technical Information (OSTI.GOV)

O'Donnell, T.J.; Olson, A.J.

1981-08-01

GRAMPS, a graphics language interpreter has been developed in FORTRAN 77 to be used in conjunction with an interactive vector display list processor (Evans and Sutherland Multi-Picture-System). Several of the features of the language make it very useful and convenient for real-time scene construction, manipulation and animation. The GRAMPS language syntax allows natural interaction with scene elements as well as easy, interactive assignment of graphics input devices. GRAMPS facilitates the creation, manipulation and copying of complex nested picture structures. The language has a powerful macro feature that enables new graphics commands to be developed and incorporated interactively. Animation may bemore » achieved in GRAMPS by two different, yet mutually compatible means. Picture structures may contain framed data, which consist of a sequence of fixed objects. These structures may be displayed sequentially to give a traditional frame animation effect. In addition, transformation information on picture structures may be saved at any time in the form of new macro commands that will transform these structures from one saved state to another in a specified number of steps, yielding an interpolated transformation animation effect. An overview of the GRAMPS command structure is given and several examples of application of the language to molecular modeling and animation are presented.« less

Talking and Testing: Discourse Approaches to the Assessment of Oral Proficiency. Studies in Bilingualism, Volume 14.

ERIC Educational Resources Information Center

Young, Richard, Ed.; He, Agnes Weiyun, Ed.

Papers on second language oral proficiency testing include: "Language Proficiency Interviews: A Discourse Approach" (Agnes Weiyun He, Richard Young); "Re-Analyzing the OPI: How Much Does It Look Like Natural Conversation?" (Marysia Johnson, Andrea Tyler); "Evaluating Learner Interactional Skills: Conversation at the Micro…

Research Methodology on Language Development from a Complex Systems Perspective

ERIC Educational Resources Information Center

Larsen-Freeman, Diane; Cameron, Lynne

2008-01-01

Changes to research methodology motivated by the adoption of a complexity theory perspective on language development are considered. The dynamic, nonlinear, and open nature of complex systems, together with their tendency toward self-organization and interaction across levels and timescales, requires changes in traditional views of the functions…

Incidental Focus on Form and Second Language Learning

ERIC Educational Resources Information Center

Loewen, Shawn

2005-01-01

Incidental focus on form overtly draws learners' attention to linguistic items as they arise spontaneously--without prior planning--in meaning-focused interaction. This study examined the effectiveness of incidental focus on form in promoting second language (L2) learning. Seventeen hours of naturally occurring, meaning-focused L2 lessons were…

Teaching a Generalizable Language Strategy.

ERIC Educational Resources Information Center

Foxx, R. M.; And Others

This paper describes the development and use of language training procedures, referred to as cues-pause-point procedures, that rely on behavioral principles and simple and natural teaching procedures and that are exhibited in many normal parent-child or teacher-student verbal interactions. The procedures have been effective in teaching severely…

A Computational Model of Linguistic Humor in Puns

ERIC Educational Resources Information Center

Kao, Justine T.; Levy, Roger; Goodman, Noah D.

2016-01-01

Humor plays an essential role in human interactions. Precisely what makes something funny, however, remains elusive. While research on natural language understanding has made significant advancements in recent years, there has been little direct integration of humor research with computational models of language understanding. In this paper, we…

Creating a Storytelling Classroom for a Storytelling World

ERIC Educational Resources Information Center

Jones, Robert E.

2012-01-01

This article explores the value of storytelling in English language learning. Strong emphasis is placed on the role that stories of personal experience play in human interaction and how these natural conversations foster a better language learning experience. The author outlines a four-step approach to help students develop conversational skills…

Conceptions over time: Are language and the here-and-now up to the task?

NASA Astrophysics Data System (ADS)

Hewson, Peter W.

2008-07-01

Is it possible to explain students' conceptions of natural phenomena purely in terms of the interactions between two people and the language they use during an interview? I argue that this hypothesis cannot be accepted on several grounds. First, contextual factors prior to the interview influence the course of its events, and that these in turn influence future events. Second, people have agency over their interactions and the ability to use language creatively in ways that a strong version of language preordination inherent in this hypothesis would not permit. Third, people bring language fluency and ideas to an interview that allow them to grapple with phenomena and issues they might not have previously considered, and formulate conceptions that they can and do use in future interactions. In addition, I argue that the field of science education is able to consider curricular and instructional issues relating to students' conceptions without resorting to the extremes of cultural relativism or intellectual imperialism, and that conceptual change theory addresses both the processes and outcomes of students' interactions.

Culture and biology in the origins of linguistic structure.

PubMed

Kirby, Simon

2017-02-01

Language is systematically structured at all levels of description, arguably setting it apart from all other instances of communication in nature. In this article, I survey work over the last 20 years that emphasises the contributions of individual learning, cultural transmission, and biological evolution to explaining the structural design features of language. These 3 complex adaptive systems exist in a network of interactions: individual learning biases shape the dynamics of cultural evolution; universal features of linguistic structure arise from this cultural process and form the ultimate linguistic phenotype; the nature of this phenotype affects the fitness landscape for the biological evolution of the language faculty; and in turn this determines individuals' learning bias. Using a combination of computational simulation, laboratory experiments, and comparison with real-world cases of language emergence, I show that linguistic structure emerges as a natural outcome of cultural evolution once certain minimal biological requirements are in place.

Transformations: Mobile Interaction & Language Learning

ERIC Educational Resources Information Center

Carroll, Fiona; Kop, Rita; Thomas, Nathan; Dunning, Rebecca

2015-01-01

Mobile devices and the interactions that these technologies afford have the potential to change the face and nature of education in our schools. Indeed, mobile technological advances are seen to offer better access to educational material and new interactive ways to learn. However, the question arises, as to whether these new technologies are…

Collaborative Dialogue in Learner-Learner and Learner-Native Speaker Interaction

ERIC Educational Resources Information Center

Dobao, Ana Fernandez

2012-01-01

This study analyses intermediate and advanced learner-learner and learner-native speaker (NS) interaction looking for collaborative dialogue. It investigates how the presence of a NS interlocutor affects the frequency and nature of lexical language-related episodes (LREs) spontaneously generated during task-based interaction. Twenty-four learners…

Learning and Language: Educarer-Child Interactions in Singapore Infant-Care Settings

ERIC Educational Resources Information Center

Lim, Cynthia; Lim, Sirene May-Yin

2013-01-01

While there has been extensive research exploring the quality of caregiver-child interactions in programmes for preschool children, comparatively less international research has explored the nature of caregiver-child interactions in centre-based infant-care programmes. Nine caregivers in six Singapore infant-care settings were observed and…

The Nature of Interactions between Students with Severe Disabilities and Their Friends and Acquaintances without Disabilities.

ERIC Educational Resources Information Center

Grenot-Scheyer, Marquita

1994-01-01

This study of 20 elementary-school children with severe disabilities examined differences in their interactions with friends without disabilities compared with interactions with acquaintances without disabilities. Friends and acquaintances did not differ in developmental level, language age, functional movement, or social competence. Group…

Classifying a Person's Degree of Accessibility From Natural Body Language During Social Human-Robot Interactions.

PubMed

McColl, Derek; Jiang, Chuan; Nejat, Goldie

2017-02-01

For social robots to be successfully integrated and accepted within society, they need to be able to interpret human social cues that are displayed through natural modes of communication. In particular, a key challenge in the design of social robots is developing the robot's ability to recognize a person's affective states (emotions, moods, and attitudes) in order to respond appropriately during social human-robot interactions (HRIs). In this paper, we present and discuss social HRI experiments we have conducted to investigate the development of an accessibility-aware social robot able to autonomously determine a person's degree of accessibility (rapport, openness) toward the robot based on the person's natural static body language. In particular, we present two one-on-one HRI experiments to: 1) determine the performance of our automated system in being able to recognize and classify a person's accessibility levels and 2) investigate how people interact with an accessibility-aware robot which determines its own behaviors based on a person's speech and accessibility levels.

Formalizing Knowledge in Multi-Scale Agent-Based Simulations

PubMed Central

Somogyi, Endre; Sluka, James P.; Glazier, James A.

2017-01-01

Multi-scale, agent-based simulations of cellular and tissue biology are increasingly common. These simulations combine and integrate a range of components from different domains. Simulations continuously create, destroy and reorganize constituent elements causing their interactions to dynamically change. For example, the multi-cellular tissue development process coordinates molecular, cellular and tissue scale objects with biochemical, biomechanical, spatial and behavioral processes to form a dynamic network. Different domain specific languages can describe these components in isolation, but cannot describe their interactions. No current programming language is designed to represent in human readable and reusable form the domain specific knowledge contained in these components and interactions. We present a new hybrid programming language paradigm that naturally expresses the complex multi-scale objects and dynamic interactions in a unified way and allows domain knowledge to be captured, searched, formalized, extracted and reused. PMID:29338063

Formalizing Knowledge in Multi-Scale Agent-Based Simulations.

PubMed

Somogyi, Endre; Sluka, James P; Glazier, James A

2016-10-01

Multi-scale, agent-based simulations of cellular and tissue biology are increasingly common. These simulations combine and integrate a range of components from different domains. Simulations continuously create, destroy and reorganize constituent elements causing their interactions to dynamically change. For example, the multi-cellular tissue development process coordinates molecular, cellular and tissue scale objects with biochemical, biomechanical, spatial and behavioral processes to form a dynamic network. Different domain specific languages can describe these components in isolation, but cannot describe their interactions. No current programming language is designed to represent in human readable and reusable form the domain specific knowledge contained in these components and interactions. We present a new hybrid programming language paradigm that naturally expresses the complex multi-scale objects and dynamic interactions in a unified way and allows domain knowledge to be captured, searched, formalized, extracted and reused.

A natural language-based presentation of cognitive stimulation to people with dementia in assistive technology: A pilot study.

PubMed

Dethlefs, Nina; Milders, Maarten; Cuayáhuitl, Heriberto; Al-Salkini, Turkey; Douglas, Lorraine

2017-12-01

Currently, an estimated 36 million people worldwide are affected by Alzheimer's disease or related dementias. In the absence of a cure, non-pharmacological interventions, such as cognitive stimulation, which slow down the rate of deterioration can benefit people with dementia and their caregivers. Such interventions have shown to improve well-being and slow down the rate of cognitive decline. It has further been shown that cognitive stimulation in interaction with a computer is as effective as with a human. However, the need to operate a computer often represents a difficulty for the elderly and stands in the way of widespread adoption. A possible solution to this obstacle is to provide a spoken natural language interface that allows people with dementia to interact with the cognitive stimulation software in the same way as they would interact with a human caregiver. This makes the assistive technology accessible to users regardless of their technical skills and provides a fully intuitive user experience. This article describes a pilot study that evaluated the feasibility of computer-based cognitive stimulation through a spoken natural language interface. Prototype software was evaluated with 23 users, including healthy elderly people and people with dementia. Feedback was overwhelmingly positive.

NLPReViz: an interactive tool for natural language processing on clinical text.

PubMed

Trivedi, Gaurav; Pham, Phuong; Chapman, Wendy W; Hwa, Rebecca; Wiebe, Janyce; Hochheiser, Harry

2018-01-01

The gap between domain experts and natural language processing expertise is a barrier to extracting understanding from clinical text. We describe a prototype tool for interactive review and revision of natural language processing models of binary concepts extracted from clinical notes. We evaluated our prototype in a user study involving 9 physicians, who used our tool to build and revise models for 2 colonoscopy quality variables. We report changes in performance relative to the quantity of feedback. Using initial training sets as small as 10 documents, expert review led to final F1scores for the "appendiceal-orifice" variable between 0.78 and 0.91 (with improvements ranging from 13.26% to 29.90%). F1for "biopsy" ranged between 0.88 and 0.94 (-1.52% to 11.74% improvements). The average System Usability Scale score was 70.56. Subjective feedback also suggests possible design improvements. © The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Intelligent agents as a basis for natural language interfaces

DOE Office of Scientific and Technical Information (OSTI.GOV)

Chin, D.N.

1987-01-01

Typical natural-language interfaces respond passively to the users's commands and queries. They cannot volunteer information, correction user misconceptions, or reject unethical requests. In order to do these things, a system must be an intelligent agent. UC (UNIX Consultant), a natural language system that helps the user solve problems in using the UNIX operating system, is such an intelligent agent. The agent component of UC in UCEgo. UCEgo provides UC with its own goals and plans. By adopting different goals in different situations, UCEgo creates and executes different plans, enabling it to interact appropriately with the user. UCEgo adopts goals frommore » its themes, adopts subgoals during planning, and adopts metagoals for dealing with goal interactions. It also adopts goals when it notices that the user either lacks necessary knowledge, or has incorrect beliefs. In these cases, UCEgo plans to volunteer information or correct the user's misconception as appropriate. The user's knowledge and beliefs are modeled by the KNOME (KNOwledge Model of Expertise) component of UC. KNOME is a double-stereotype system which categorizes users by expertise and categorizes UNIX facts by difficulty.« less

Babbling development as seen in canonical babbling ratios: A naturalistic evaluation of all-day recordings.

PubMed

Lee, Chia-Cheng; Jhang, Yuna; Relyea, George; Chen, Li-Mei; Oller, D Kimbrough

2018-02-01

Canonical babbling (CB) is critical in forming foundations for speech. Research has shown that the emergence of CB precedes first words, predicts language outcomes, and is delayed in infants with several communicative disorders. We seek a naturalistic portrayal of CB development, using all-day home recordings to evaluate the influences of age, language, and social circumstances on infant CB production. Thus we address the nature of very early language foundations and how they can be modulated. This is the first study to evaluate possible interactions of language and social circumstance in the development of babbling. We examined the effects of age (6 and 11 months), language/culture (English and Chinese), and social circumstances (during infant-directed speech [IDS], during infant overhearing of adult-directed speech [ADS], or when infants were alone) on canonical babbling ratios (CBR = canonical syllables/total syllables). The results showed a three-way interaction of infant age by infant language/culture by social circumstance. The complexity of the results forces us to recognize that a variety of factors can interact in the development of foundations for language, and that both the infant vocal response to the language/culture environment and the language/culture environment of the infant may change across age. Copyright © 2017 Elsevier Inc. All rights reserved.

Evaluating Dialogue Competence in Naturally Occurring Child-Child Interactions

ERIC Educational Resources Information Center

Naerland, Terje

2011-01-01

The principal aim of this paper is to contribute to the pursuit of evaluating pragmatic language competence in preschool years by observation-based data. Initially, the relations between age and language development measured as mean length of utterance (MLU) and three dialogue skills are described. The occurrences of "focus on the dialogue…

Differentiating Mathematics Instruction for Secondary-Level English Language Learners in the Mainstream Classroom

ERIC Educational Resources Information Center

Cardimona, Kimberly

2018-01-01

This study investigated the nature of dyadic interaction between secondary English language learners (ELLs) engaged in mathematics peer tutoring sessions. An analysis of 15 ELL expert/novice student-tutoring dyads and three mathematics teacher/ELL novice dyads revealed the importance of questions and wait time in developing novice tutee ownership…

Communicative Discourse in Second Language Classrooms: From Building Skills to Becoming Skillful

ERIC Educational Resources Information Center

Suleiman, Mahmoud

2013-01-01

The dynamics of the communicative discourse is a natural process that requires an application of a wide range of skills and strategies. In particular, linguistic discourse and the interaction process have a huge impact on promoting literacy and academic skills in all students especially English language learners (ELLs). Using interactive…

Cross-Linguistic Transfer among Iranian Learners of English as a Foreign Language

ERIC Educational Resources Information Center

Talebi, Seyed Hassan

2014-01-01

Cross-linguistic transfer studies began from linguistic aspects of language learning and moved to non-linguistic aspects. The intriguing question is whether students are aware of the nature of these cross-linguistic interactions in their minds. For this purpose, a semi-structured interview was conducted with four Iranian university students. It…

Pragmatic Activities for the Speaking Classroom

ERIC Educational Resources Information Center

Siegel, Joseph

2016-01-01

Being able to speak naturally and appropriately with others in a variety of situations is an important goal for many English as a foreign language (EFL) learners. Because the skill of speaking invariably involves interaction with people and using language to reach objectives (e.g., ordering food, making friends, asking for favors), it is crucial…

Symbiotic Gesture and the Sociocognitive Visibility of Grammar in Second Language Acquisition

ERIC Educational Resources Information Center

Churchill, Eton; Okada, Hanako; Nishino, Takako; Atkinson, Dwight

2010-01-01

This article argues for the embodied and environmentally embedded nature of second language acquisition (SLA). Through fine-grained analysis of interaction using Goodwin's (2003a) concept of "symbiotic gesture"--gesture coupled with its rich environmental context to produce complex social action--we illustrate how a tutor, learner, and grammar…

Sequoyah Foreign Language Translation System - Business Case Analysis

DTIC Science & Technology

2007-12-01

Interactive Natural Dialogue System (S-MINDS)..................................................................20 j. Voice Response Translator ( VRT ...20 Figure 8. U.S. Marine Military Policeman Demonstrating VRT (From: Ref. U.S...www.languagerealm.com/Files/usmc_mt_test_2004.pdf. 21 j. Voice Response Translator ( VRT ) The VRT is a S2S human language translation device that uses

Action and language integration: from humans to cognitive robots.

PubMed

Borghi, Anna M; Cangelosi, Angelo

2014-07-01

The topic is characterized by a highly interdisciplinary approach to the issue of action and language integration. Such an approach, combining computational models and cognitive robotics experiments with neuroscience, psychology, philosophy, and linguistic approaches, can be a powerful means that can help researchers disentangle ambiguous issues, provide better and clearer definitions, and formulate clearer predictions on the links between action and language. In the introduction we briefly describe the papers and discuss the challenges they pose to future research. We identify four important phenomena the papers address and discuss in light of empirical and computational evidence: (a) the role played not only by sensorimotor and emotional information but also of natural language in conceptual representation; (b) the contextual dependency and high flexibility of the interaction between action, concepts, and language; (c) the involvement of the mirror neuron system in action and language processing; (d) the way in which the integration between action and language can be addressed by developmental robotics and Human-Robot Interaction. Copyright © 2014 Cognitive Science Society, Inc.

Using Facebook Data to Analyze Learner Interaction during Study Abroad

ERIC Educational Resources Information Center

Back, Michele

2013-01-01

Although study abroad is viewed as an ideal environment for interaction in the target language, research in this area has relied mostly upon self-reported data, which pose challenges regarding recall bias and participant commitment. This article shows how Facebook data can be used to analyze naturally occurring learner interactions during study…

Modeling Child-Nature Interaction in a Nature Preschool: A Proof of Concept.

PubMed

Kahn, Peter H; Weiss, Thea; Harrington, Kit

2018-01-01

This article provides a proof of concept for an approach to modeling child-nature interaction based on the idea of interaction patterns : characterizations of essential features of interaction between humans and nature, specified abstractly enough such that countless different instantiations of each one can occur - in more domestic or wild forms - given different types of nature, people, and purposes. The model draws from constructivist psychology, ecological psychology, and evolutionary psychology, and is grounded in observational data collected through a time-sampling methodology at a nature preschool. Through using a nature language that emphasizes ontogenetic and phylogenetic significance, seven keystone interaction patterns are described for this nature preschool: using one's body vigorously in nature, striking wood on wood, constructing shelter, being in solitude in nature, lying on earth, cohabiting with a wild animal , and being outside in weather . These 7 interactions patterns are then brought together with 13 other patterns published elsewhere to provide a total of 20 keystone interaction patterns that begin to fill out the model, and to show its promise. Discussion focuses on what the model aims to be in terms of both product and process, on what work the model can currently do, and how to further develop the model.

A natural way to do spatial linear geometry in MACSYMA

NASA Technical Reports Server (NTRS)

Bulnes, J.

1977-01-01

A set of routines appropriate for use as an interactive aid in 3-dimensional calculations with planes, lines and points is presented. The mathematical language used is vector calculus. The simplicity with which these routines can be written in MACSYMA is demonstrated. Because of the natural way in which geometric intuition is mapped into them, they can serve as a model for an interactive computational aid for architects.

Assessing Group Interaction with Social Language Network Analysis

NASA Astrophysics Data System (ADS)

Scholand, Andrew J.; Tausczik, Yla R.; Pennebaker, James W.

In this paper we discuss a new methodology, social language network analysis (SLNA), that combines tools from social language processing and network analysis to assess socially situated working relationships within a group. Specifically, SLNA aims to identify and characterize the nature of working relationships by processing artifacts generated with computer-mediated communication systems, such as instant message texts or emails. Because social language processing is able to identify psychological, social, and emotional processes that individuals are not able to fully mask, social language network analysis can clarify and highlight complex interdependencies between group members, even when these relationships are latent or unrecognized.

Neural signatures of response planning occur midway through an incoming question in conversation

PubMed Central

Bögels, Sara; Magyari, Lilla; Levinson, Stephen C.

2015-01-01

A striking puzzle about language use in everyday conversation is that turn-taking latencies are usually very short, whereas planning language production takes much longer. This implies overlap between language comprehension and production processes, but the nature and extent of such overlap has never been studied directly. Combining an interactive quiz paradigm with EEG measurements in an innovative way, we show that production planning processes start as soon as possible, that is, within half a second after the answer to a question can be retrieved (up to several seconds before the end of the question). Localization of ERP data shows early activation even of brain areas related to late stages of production planning (e.g., syllabification). Finally, oscillation results suggest an attention switch from comprehension to production around the same time frame. This perspective from interactive language use throws new light on the performance characteristics that language competence involves. PMID:26242909

Patterns of Negotiation of Meaning in English as Second Language Learners' Interactions

ERIC Educational Resources Information Center

Samani, Ebrahim; Nordin, Noreen; Mukundan, Jayakaran; Samad, Arashd

2015-01-01

Problem Statement: The Internet as a tool that presents many challenges has drawn the attention of researchers in the field of education and especially foreign language teaching. However, there has been a lack of information about the true nature of these environments. In recent years, determination of the patterns of negotiation of meaning as a…

Whose Voice Is It Anyway? Hushing and Hearing "Voices" in Speech and Language Therapy Interactions with People with Chronic Schizophrenia

ERIC Educational Resources Information Center

Walsh, Irene P.

2008-01-01

Background: Some people with schizophrenia are considered to have communication difficulties because of concomitant language impairment and/or because of suppressed or "unusual" communication skills due to the often-chronic nature and manifestation of the illness process. Conversations with a person with schizophrenia pose many pragmatic…

Paying Attention to Attention Allocation in Second-Language Learning: Some Insights into the Nature of Linguistic Thresholds.

ERIC Educational Resources Information Center

Hawson, Anne

1997-01-01

Three threshold hypotheses proposed by Cummins (1976) and Diaz (1985) as explanations of data on the cognitive consequences of bilingualism are examined in depth and compared to one another. A neuroscientifically updated information-processing perspective on the interaction of second-language comprehension and visual-processing ability is…

When the Quiet Surfaces: "Transfer" of Argument Omission in the Speech of ASL-English Bilinguals

ERIC Educational Resources Information Center

Koulidobrova, Elena V.

2012-01-01

The main research question of this dissertation is the nature of language interaction effects observed in linguistic patterns of multilingual children. Such effects--often described as syntactic transfer/influence of one of the languages on the other--have been richly documented in the multilingualism literature. I review an influential model…

ISLE (Image and Signal LISP Environment): A functional language interface for signal and image processing

DOE Office of Scientific and Technical Information (OSTI.GOV)

Azevedo, S.G.; Fitch, J.P.

1987-10-21

Conventional software interfaces that use imperative computer commands or menu interactions are often restrictive environments when used for researching new algorithms or analyzing processed experimental data. We found this to be true with current signal-processing software (SIG). As an alternative, ''functional language'' interfaces provide features such as command nesting for a more natural interaction with the data. The Image and Signal LISP Environment (ISLE) is an example of an interpreted functional language interface based on common LISP. Advantages of ISLE include multidimensional and multiple data-type independence through dispatching functions, dynamic loading of new functions, and connections to artificial intelligence (AI)more » software. 10 refs.« less

ISLE (Image and Signal Lisp Environment): A functional language interface for signal and image processing

DOE Office of Scientific and Technical Information (OSTI.GOV)

Azevedo, S.G.; Fitch, J.P.

1987-05-01

Conventional software interfaces which utilize imperative computer commands or menu interactions are often restrictive environments when used for researching new algorithms or analyzing processed experimental data. We found this to be true with current signal processing software (SIG). Existing ''functional language'' interfaces provide features such as command nesting for a more natural interaction with the data. The Image and Signal Lisp Environment (ISLE) will be discussed as an example of an interpreted functional language interface based on Common LISP. Additional benefits include multidimensional and multiple data-type independence through dispatching functions, dynamic loading of new functions, and connections to artificial intelligencemore » software.« less

Restrictions on biological adaptation in language evolution.

PubMed

Chater, Nick; Reali, Florencia; Christiansen, Morten H

2009-01-27

Language acquisition and processing are governed by genetic constraints. A crucial unresolved question is how far these genetic constraints have coevolved with language, perhaps resulting in a highly specialized and species-specific language "module," and how much language acquisition and processing redeploy preexisting cognitive machinery. In the present work, we explored the circumstances under which genes encoding language-specific properties could have coevolved with language itself. We present a theoretical model, implemented in computer simulations, of key aspects of the interaction of genes and language. Our results show that genes for language could have coevolved only with highly stable aspects of the linguistic environment; a rapidly changing linguistic environment does not provide a stable target for natural selection. Thus, a biological endowment could not coevolve with properties of language that began as learned cultural conventions, because cultural conventions change much more rapidly than genes. We argue that this rules out the possibility that arbitrary properties of language, including abstract syntactic principles governing phrase structure, case marking, and agreement, have been built into a "language module" by natural selection. The genetic basis of human language acquisition and processing did not coevolve with language, but primarily predates the emergence of language. As suggested by Darwin, the fit between language and its underlying mechanisms arose because language has evolved to fit the human brain, rather than the reverse.

Language and other artifacts: socio-cultural dynamics of niche construction

PubMed Central

Sinha, Chris

2015-01-01

Niche construction theory is a relatively new approach in evolutionary biology that seeks to integrate an ecological dimension into the Darwinian theory of evolution by natural selection. It is regarded by many evolutionary biologists as providing a significant revision of the Neo-Darwinian modern synthesis that unified Darwin’s theory of natural and sexual selection with 20th century population genetics. Niche construction theory has been invoked as a processual mediator of social cognitive evolution and of the emergence and evolution of language. I argue that language itself can be considered as a biocultural niche and evolutionary artifact. I provide both a general analysis of the cognitive and semiotic status of artifacts, and a formal analysis of language as a social and semiotic institution, based upon a distinction between the fundamental semiotic relations of “counting as” and “standing for.” I explore the consequences for theories of language and language learning of viewing language as a biocultural niche. I suggest that not only do niches mediate organism-organism interactions, but also that organisms mediate niche-niche interactions in ways that affect evolutionary processes, with the evolution of human infancy and childhood as a key example. I argue that language as a social and semiotic system is not only grounded in embodied engagements with the material and social-interactional world, but also grounds a sub-class of artifacts of particular significance in the cultural history of human cognition. Symbolic cognitive artifacts materially and semiotically mediate human cognition, and are not merely informational repositories, but co-agentively constitutive of culturally and historically emergent cognitive domains. I provide examples of the constitutive cognitive role of symbolic cognitive artifacts drawn from my research with my colleagues on cultural and linguistic conceptualizations of time, and their cultural variability. I conclude by reflecting on the philosophical and social implications of understanding artifacts co-agentively. PMID:26539144

Conversational Language Use as a Predictor of Early Reading Development: Language History as a Moderating Variable

PubMed Central

DeThorne, Laura Segebart; Petrill, Stephen A.; Schatschneider, Chris; Cutting, Laurie

2010-01-01

Purpose The present study examined the nature of concurrent and predictive associations between conversational language use and reading development during early school-age years. Method Language and reading data from 380 twins in the Western Reserve Reading Project were examined via phenotypic correlations and multilevel modeling on exploratory latent factors. Results In the concurrent prediction of children’s early reading abilities, a significant interaction emerged between children’s conversational language abilities and their history of reported language difficulties. Specifically, conversational language concurrently predicted reading development above and beyond variance accounted for by formal vocabulary scores, but only in children with a history of reported language difficulties. A similar trend was noted in predicting reading skills 1 year later, but the interaction was not statistically significant. Conclusions Findings suggest a more nuanced view of the association between spoken language and early reading than is commonly proposed. One possibility is that children with and without a history of reported language difficulties rely on different skills, or the same skills to differing degrees, when completing early reading-related tasks. Future studies should examine the causal link between conversational language and early reading specifically in children with a history of reported language difficulties. PMID:20150410

Information Retrieval Using ADABAS-NATURAL (with Applications for Television and Radio).

ERIC Educational Resources Information Center

Silbergeld, I.; Kutok, P.

1984-01-01

Describes use of the software ADABAS (general purpose database management system) and NATURAL (interactive programing language) in development and implementation of an information retrieval system for the National Television and Radio Network of Israel. General design considerations, files contained in each archive, search strategies, and keywords…

Natural language from artificial life.

PubMed

Kirby, Simon

2002-01-01

This article aims to show that linguistics, in particular the study of the lexico-syntactic aspects of language, provides fertile ground for artificial life modeling. A survey of the models that have been developed over the last decade and a half is presented to demonstrate that ALife techniques have a lot to offer an explanatory theory of language. It is argued that this is because much of the structure of language is determined by the interaction of three complex adaptive systems: learning, culture, and biological evolution. Computational simulation, informed by theoretical linguistics, is an appropriate response to the challenge of explaining real linguistic data in terms of the processes that underpin human language.

Interactive Simulated Patient: Experiences with Collaborative E-Learning in Medicine

ERIC Educational Resources Information Center

Bergin, Rolf; Youngblood, Patricia; Ayers, Mary K.; Boberg, Jonas; Bolander, Klara; Courteille, Olivier; Dev, Parvati; Hindbeck, Hans; Edward, Leonard E., II; Stringer, Jennifer R.; Thalme, Anders; Fors, Uno G. H.

2003-01-01

Interactive Simulated Patient (ISP) is a computer-based simulation tool designed to provide medical students with the opportunity to practice their clinical problem solving skills. The ISP system allows students to perform most clinical decision-making procedures in a simulated environment, including history taking in natural language, many…

Patterns of Computer-Mediated Interaction in Small Writing Groups Using Wikis

ERIC Educational Resources Information Center

Li, Mimi; Zhu, Wei

2013-01-01

Informed by sociocultural theory and guided especially by "collective scaffolding", this study investigated the nature of computer-mediated interaction of three groups of English as a Foreign Language students when they performed collaborative writing tasks using wikis. Nine college students from a Chinese university participated in the…

Conceptions over Time: Are Language and the Here-and-Now up to the Task?

ERIC Educational Resources Information Center

Hewson, Peter W.

2008-01-01

Is it possible to explain students' conceptions of natural phenomena purely in terms of the interactions between two people and the language they use during an interview? I argue that this hypothesis cannot be accepted on several grounds. First, contextual factors prior to the interview influence the course of its events, and that these in turn…

Modeling Child–Nature Interaction in a Nature Preschool: A Proof of Concept

PubMed Central

Kahn, Peter H.; Weiss, Thea; Harrington, Kit

2018-01-01

This article provides a proof of concept for an approach to modeling child–nature interaction based on the idea of interaction patterns: characterizations of essential features of interaction between humans and nature, specified abstractly enough such that countless different instantiations of each one can occur – in more domestic or wild forms – given different types of nature, people, and purposes. The model draws from constructivist psychology, ecological psychology, and evolutionary psychology, and is grounded in observational data collected through a time-sampling methodology at a nature preschool. Through using a nature language that emphasizes ontogenetic and phylogenetic significance, seven keystone interaction patterns are described for this nature preschool: using one’s body vigorously in nature, striking wood on wood, constructing shelter, being in solitude in nature, lying on earth, cohabiting with a wild animal, and being outside in weather. These 7 interactions patterns are then brought together with 13 other patterns published elsewhere to provide a total of 20 keystone interaction patterns that begin to fill out the model, and to show its promise. Discussion focuses on what the model aims to be in terms of both product and process, on what work the model can currently do, and how to further develop the model. PMID:29896143

Implementing Artificial Intelligence Behaviors in a Virtual World

NASA Technical Reports Server (NTRS)

Krisler, Brian; Thome, Michael

2012-01-01

In this paper, we will present a look at the current state of the art in human-computer interface technologies, including intelligent interactive agents, natural speech interaction and gestural based interfaces. We describe our use of these technologies to implement a cost effective, immersive experience on a public region in Second Life. We provision our Artificial Agents as a German Shepherd Dog avatar with an external rules engine controlling the behavior and movement. To interact with the avatar, we implemented a natural language and gesture system allowing the human avatars to use speech and physical gestures rather than interacting via a keyboard and mouse. The result is a system that allows multiple humans to interact naturally with AI avatars by playing games such as fetch with a flying disk and even practicing obedience exercises using voice and gesture, a natural seeming day in the park.

'Just wait then and see what he does': a speech act analysis of healthcare professionals' interaction coaching with parents of children with autism spectrum disorders.

PubMed

McKnight, Lindsay M; O'Malley-Keighran, Mary-Pat; Carroll, Clare

2016-11-01

There is evidence indicating that parent training programmes including interaction coaching of parents of children with autism spectrum disorders (ASD) can increase parental responsiveness, promote language development and social interaction skills in children with ASD. However, there is a lack of research exploring precisely how healthcare professionals use language in interaction coaching. To identify the speech acts of healthcare professionals during individual video-recorded interaction coaching sessions of a Hanen-influenced parent training programme with parents of children with ASD. This retrospective study used speech act analysis. Healthcare professional participants included two speech-language therapists and one occupational therapist. Sixteen videos were transcribed and a speech act analysis was conducted to identify the form and functions of the language used by the healthcare professionals. Descriptive statistics provided frequencies and percentages for the different speech acts used across the 16 videos. Six types of speech acts used by the healthcare professionals during coaching sessions were identified. These speech acts were, in order of frequency: Instructing, Modelling, Suggesting, Commanding, Commending and Affirming. The healthcare professionals were found to tailor their interaction coaching to the learning needs of the parents. A pattern was observed in which more direct speech acts were used in instances where indirect speech acts did not achieve the intended response. The study provides an insight into the nature of interaction coaching provided by healthcare professionals during a parent training programme. It identifies the types of language used during interaction coaching. It also highlights additional important aspects of interaction coaching such as the ability of healthcare professionals to adjust the directness of the coaching in order to achieve the intended parental response to the child's interaction. The findings may be used to increase the awareness of healthcare professionals about the types of speech acts used during interaction coaching as well as the manner in which coaching sessions are conducted. © 2016 Royal College of Speech and Language Therapists.

Linguistic steganography on Twitter: hierarchical language modeling with manual interaction

NASA Astrophysics Data System (ADS)

Wilson, Alex; Blunsom, Phil; Ker, Andrew D.

2014-02-01

This work proposes a natural language stegosystem for Twitter, modifying tweets as they are written to hide 4 bits of payload per tweet, which is a greater payload than previous systems have achieved. The system, CoverTweet, includes novel components, as well as some already developed in the literature. We believe that the task of transforming covers during embedding is equivalent to unilingual machine translation (paraphrasing), and we use this equivalence to de ne a distortion measure based on statistical machine translation methods. The system incorporates this measure of distortion to rank possible tweet paraphrases, using a hierarchical language model; we use human interaction as a second distortion measure to pick the best. The hierarchical language model is designed to model the speci c language of the covers, which in this setting is the language of the Twitter user who is embedding. This is a change from previous work, where general-purpose language models have been used. We evaluate our system by testing the output against human judges, and show that humans are unable to distinguish stego tweets from cover tweets any better than random guessing.

Choosing to Interact: Exploring the Relationship between Learner Personality, Attitudes, and Tutorial Dialogue Participation

ERIC Educational Resources Information Center

Ezen-Can, Aysu; Boyer, Kristy Elizabeth

2015-01-01

The tremendous effectiveness of intelligent tutoring systems is due in large part to their interactivity. However, when learners are free to choose the extent to which they interact with a tutoring system, not all learners do so actively. This paper examines a study with a natural language tutorial dialogue system for computer science, in which…

Dealing with Emergence, Diversity and Multiplicity of Grammar and Interaction: The Japanese Clause-Ending Form TE

ERIC Educational Resources Information Center

Hashimoto, Yuria

2011-01-01

Grammar in natural interaction is an emergent, dynamic and adaptive system that is consistently subject to change. It is understood as a collection of open multiple subsystems, each of which is activated as the language users recurrently participate in a particular linguistic, interactional and social activity. When a certain linguistic form or…

Sign language recognition and translation: a multidisciplined approach from the field of artificial intelligence.

PubMed

Parton, Becky Sue

2006-01-01

In recent years, research has progressed steadily in regard to the use of computers to recognize and render sign language. This paper reviews significant projects in the field beginning with finger-spelling hands such as "Ralph" (robotics), CyberGloves (virtual reality sensors to capture isolated and continuous signs), camera-based projects such as the CopyCat interactive American Sign Language game (computer vision), and sign recognition software (Hidden Markov Modeling and neural network systems). Avatars such as "Tessa" (Text and Sign Support Assistant; three-dimensional imaging) and spoken language to sign language translation systems such as Poland's project entitled "THETOS" (Text into Sign Language Automatic Translator, which operates in Polish; natural language processing) are addressed. The application of this research to education is also explored. The "ICICLE" (Interactive Computer Identification and Correction of Language Errors) project, for example, uses intelligent computer-aided instruction to build a tutorial system for deaf or hard-of-hearing children that analyzes their English writing and makes tailored lessons and recommendations. Finally, the article considers synthesized sign, which is being added to educational material and has the potential to be developed by students themselves.

Deliberative Democracy: A Contested Interactive Space. A Response to "Deliberative Democracy in English Language Education: Cultural and Linguistic Inclusion in the School Community"

ERIC Educational Resources Information Center

De La Vega, Esperanza

2016-01-01

This is a response to Liggett's (2014) call to implement "deliberate democracy" in English language education classrooms. While the concept of participating in deliberate democracy is a solid ideal and worthy of pursuit, I present questions and scenarios that illustrate the complicated nature of the tasks. By sharing my…

An Alternative to Language Learner Dependence on L2 Caption-Reading Input for Comprehension of Sitcoms in a Multimedia Learning Environment

ERIC Educational Resources Information Center

Li, C.-H.

2014-01-01

Most second/foreign language (L2) learners have difficulty understanding listening input because of its implicit and ephemeral nature, and they typically have better reading comprehension than listening comprehension skills. This study examines the effects of using an interactive advance-organizer activity on the DVD video comprehension of L2…

Conversation as a Model of Instructional Interaction

ERIC Educational Resources Information Center

Van Bramer, Joan

2003-01-01

The role of social context and the nature of human interaction provide rich resources for the study of learning and human cognition. In order to understand these elements more fully, it is important to consider the language in use within these contexts. The early intervention Reading Recovery is grounded in the belief that the conversation between…

Automatic Identification and Organization of Index Terms for Interactive Browsing.

ERIC Educational Resources Information Center

Wacholder, Nina; Evans, David K.; Klavans, Judith L.

The potential of automatically generated indexes for information access has been recognized for several decades, but the quantity of text and the ambiguity of natural language processing have made progress at this task more difficult than was originally foreseen. Recently, a body of work on development of interactive systems to support phrase…

The Design of Hand Gestures for Human-Computer Interaction: Lessons from Sign Language Interpreters.

PubMed

Rempel, David; Camilleri, Matt J; Lee, David L

2015-10-01

The design and selection of 3D modeled hand gestures for human-computer interaction should follow principles of natural language combined with the need to optimize gesture contrast and recognition. The selection should also consider the discomfort and fatigue associated with distinct hand postures and motions, especially for common commands. Sign language interpreters have extensive and unique experience forming hand gestures and many suffer from hand pain while gesturing. Professional sign language interpreters (N=24) rated discomfort for hand gestures associated with 47 characters and words and 33 hand postures. Clear associations of discomfort with hand postures were identified. In a nominal logistic regression model, high discomfort was associated with gestures requiring a flexed wrist, discordant adjacent fingers, or extended fingers. These and other findings should be considered in the design of hand gestures to optimize the relationship between human cognitive and physical processes and computer gesture recognition systems for human-computer input.

A Cognitive Neural Architecture Able to Learn and Communicate through Natural Language.

PubMed

Golosio, Bruno; Cangelosi, Angelo; Gamotina, Olesya; Masala, Giovanni Luca

2015-01-01

Communicative interactions involve a kind of procedural knowledge that is used by the human brain for processing verbal and nonverbal inputs and for language production. Although considerable work has been done on modeling human language abilities, it has been difficult to bring them together to a comprehensive tabula rasa system compatible with current knowledge of how verbal information is processed in the brain. This work presents a cognitive system, entirely based on a large-scale neural architecture, which was developed to shed light on the procedural knowledge involved in language elaboration. The main component of this system is the central executive, which is a supervising system that coordinates the other components of the working memory. In our model, the central executive is a neural network that takes as input the neural activation states of the short-term memory and yields as output mental actions, which control the flow of information among the working memory components through neural gating mechanisms. The proposed system is capable of learning to communicate through natural language starting from tabula rasa, without any a priori knowledge of the structure of phrases, meaning of words, role of the different classes of words, only by interacting with a human through a text-based interface, using an open-ended incremental learning process. It is able to learn nouns, verbs, adjectives, pronouns and other word classes, and to use them in expressive language. The model was validated on a corpus of 1587 input sentences, based on literature on early language assessment, at the level of about 4-years old child, and produced 521 output sentences, expressing a broad range of language processing functionalities.

Extraction of CYP chemical interactions from biomedical literature using natural language processing methods.

PubMed

Jiao, Dazhi; Wild, David J

2009-02-01

This paper proposes a system that automatically extracts CYP protein and chemical interactions from journal article abstracts, using natural language processing (NLP) and text mining methods. In our system, we employ a maximum entropy based learning method, using results from syntactic, semantic, and lexical analysis of texts. We first present our system architecture and then discuss the data set for training our machine learning based models and the methods in building components in our system, such as part of speech (POS) tagging, Named Entity Recognition (NER), dependency parsing, and relation extraction. An evaluation of the system is conducted at the end, yielding very promising results: The POS, dependency parsing, and NER components in our system have achieved a very high level of accuracy as measured by precision, ranging from 85.9% to 98.5%, and the precision and the recall of the interaction extraction component are 76.0% and 82.6%, and for the overall system are 68.4% and 72.2%, respectively.

Social interaction facilitates word learning in preverbal infants: Word-object mapping and word segmentation.

PubMed

Hakuno, Yoko; Omori, Takahide; Yamamoto, Jun-Ichi; Minagawa, Yasuyo

2017-08-01

In natural settings, infants learn spoken language with the aid of a caregiver who explicitly provides social signals. Although previous studies have demonstrated that young infants are sensitive to these signals that facilitate language development, the impact of real-life interactions on early word segmentation and word-object mapping remains elusive. We tested whether infants aged 5-6 months and 9-10 months could segment a word from continuous speech and acquire a word-object relation in an ecologically valid setting. In Experiment 1, infants were exposed to a live tutor, while in Experiment 2, another group of infants were exposed to a televised tutor. Results indicate that both younger and older infants were capable of segmenting a word and learning a word-object association only when the stimuli were derived from a live tutor in a natural manner, suggesting that real-life interaction enhances the learning of spoken words in preverbal infants. Copyright © 2017 Elsevier Inc. All rights reserved.

Simplicity and Specificity in Language: Domain-General Biases Have Domain-Specific Effects

PubMed Central

Culbertson, Jennifer; Kirby, Simon

2016-01-01

The extent to which the linguistic system—its architecture, the representations it operates on, the constraints it is subject to—is specific to language has broad implications for cognitive science and its relation to evolutionary biology. Importantly, a given property of the linguistic system can be “specific” to the domain of language in several ways. For example, if the property evolved by natural selection under the pressure of the linguistic function it serves then the property is domain-specific in the sense that its design is tailored for language. Equally though, if that property evolved to serve a different function or if that property is domain-general, it may nevertheless interact with the linguistic system in a way that is unique. This gives a second sense in which a property can be thought of as specific to language. An evolutionary approach to the language faculty might at first blush appear to favor domain-specificity in the first sense, with individual properties of the language faculty being specifically linguistic adaptations. However, we argue that interactions between learning, culture, and biological evolution mean any domain-specific adaptations that evolve will take the form of weak biases rather than hard constraints. Turning to the latter sense of domain-specificity, we highlight a very general bias, simplicity, which operates widely in cognition and yet interacts with linguistic representations in domain-specific ways. PMID:26793132

Mapping the Early Language Environment Using All-Day Recordings and Automated Analysis.

PubMed

Gilkerson, Jill; Richards, Jeffrey A; Warren, Steven F; Montgomery, Judith K; Greenwood, Charles R; Kimbrough Oller, D; Hansen, John H L; Paul, Terrance D

2017-05-17

This research provided a first-generation standardization of automated language environment estimates, validated these estimates against standard language assessments, and extended on previous research reporting language behavior differences across socioeconomic groups. Typically developing children between 2 to 48 months of age completed monthly, daylong recordings in their natural language environments over a span of approximately 6-38 months. The resulting data set contained 3,213 12-hr recordings automatically analyzed by using the Language Environment Analysis (LENA) System to generate estimates of (a) the number of adult words in the child's environment, (b) the amount of caregiver-child interaction, and (c) the frequency of child vocal output. Child vocalization frequency and turn-taking increased with age, whereas adult word counts were age independent after early infancy. Child vocalization and conversational turn estimates predicted 7%-16% of the variance observed in child language assessment scores. Lower socioeconomic status (SES) children produced fewer vocalizations, engaged in fewer adult-child interactions, and were exposed to fewer daily adult words compared with their higher socioeconomic status peers, but within-group variability was high. The results offer new insight into the landscape of the early language environment, with clinical implications for identification of children at-risk for impoverished language environments.

Novel methodology to examine cognitive and experiential factors in language development: combining eye-tracking and LENA technology

PubMed Central

Odean, Rosalie; Nazareth, Alina; Pruden, Shannon M.

2015-01-01

Developmental systems theory posits that development cannot be segmented by influences acting in isolation, but should be studied through a scientific lens that highlights the complex interactions between these forces over time (Overton, 2013a). This poses a unique challenge for developmental psychologists studying complex processes like language development. In this paper, we advocate for the combining of highly sophisticated data collection technologies in an effort to move toward a more systemic approach to studying language development. We investigate the efficiency and appropriateness of combining eye-tracking technology and the LENA (Language Environment Analysis) system, an automated language analysis tool, in an effort to explore the relation between language processing in early development, and external dynamic influences like parent and educator language input in the home and school environments. Eye-tracking allows us to study language processing via eye movement analysis; these eye movements have been linked to both conscious and unconscious cognitive processing, and thus provide one means of evaluating cognitive processes underlying language development that does not require the use of subjective parent reports or checklists. The LENA system, on the other hand, provides automated language output that describes a child’s language-rich environment. In combination, these technologies provide critical information not only about a child’s language processing abilities but also about the complexity of the child’s language environment. Thus, when used in conjunction these technologies allow researchers to explore the nature of interacting systems involved in language development. PMID:26379591

Interactive Cohort Identification of Sleep Disorder Patients Using Natural Language Processing and i2b2.

PubMed

Chen, W; Kowatch, R; Lin, S; Splaingard, M; Huang, Y

2015-01-01

Nationwide Children's Hospital established an i2b2 (Informatics for Integrating Biology & the Bedside) application for sleep disorder cohort identification. Discrete data were gleaned from semistructured sleep study reports. The system showed to work more efficiently than the traditional manual chart review method, and it also enabled searching capabilities that were previously not possible. We report on the development and implementation of the sleep disorder i2b2 cohort identification system using natural language processing of semi-structured documents. We developed a natural language processing approach to automatically parse concepts and their values from semi-structured sleep study documents. Two parsers were developed: a regular expression parser for extracting numeric concepts and a NLP based tree parser for extracting textual concepts. Concepts were further organized into i2b2 ontologies based on document structures and in-domain knowledge. 26,550 concepts were extracted with 99% being textual concepts. 1.01 million facts were extracted from sleep study documents such as demographic information, sleep study lab results, medications, procedures, diagnoses, among others. The average accuracy of terminology parsing was over 83% when comparing against those by experts. The system is capable of capturing both standard and non-standard terminologies. The time for cohort identification has been reduced significantly from a few weeks to a few seconds. Natural language processing was shown to be powerful for quickly converting large amount of semi-structured or unstructured clinical data into discrete concepts, which in combination of intuitive domain specific ontologies, allows fast and effective interactive cohort identification through the i2b2 platform for research and clinical use.

Interactive Cohort Identification of Sleep Disorder Patients Using Natural Language Processing and i2b2

PubMed Central

Chen, W.; Kowatch, R.; Lin, S.; Splaingard, M.

2015-01-01

Summary Nationwide Children’s Hospital established an i2b2 (Informatics for Integrating Biology & the Bedside) application for sleep disorder cohort identification. Discrete data were gleaned from semistructured sleep study reports. The system showed to work more efficiently than the traditional manual chart review method, and it also enabled searching capabilities that were previously not possible. Objective We report on the development and implementation of the sleep disorder i2b2 cohort identification system using natural language processing of semi-structured documents. Methods We developed a natural language processing approach to automatically parse concepts and their values from semi-structured sleep study documents. Two parsers were developed: a regular expression parser for extracting numeric concepts and a NLP based tree parser for extracting textual concepts. Concepts were further organized into i2b2 ontologies based on document structures and in-domain knowledge. Results 26,550 concepts were extracted with 99% being textual concepts. 1.01 million facts were extracted from sleep study documents such as demographic information, sleep study lab results, medications, procedures, diagnoses, among others. The average accuracy of terminology parsing was over 83% when comparing against those by experts. The system is capable of capturing both standard and non-standard terminologies. The time for cohort identification has been reduced significantly from a few weeks to a few seconds. Conclusion Natural language processing was shown to be powerful for quickly converting large amount of semi-structured or unstructured clinical data into discrete concepts, which in combination of intuitive domain specific ontologies, allows fast and effective interactive cohort identification through the i2b2 platform for research and clinical use. PMID:26171080

A Tutoring System That Simulates the Highly Interactive Nature of Human Tutoring

ERIC Educational Resources Information Center

Katz, Sandra; Albacete, Patricia L.

2013-01-01

For some time, it has been clear that students who are tutored generally learn more than students who experience classroom instruction (e.g., Bloom, 1984). Much research has been devoted to identifying features of tutorial dialogue that can explain its effectiveness, so that these features can be simulated in natural-language tutoring systems. One…

The Relationship between Affective States and Dialog Patterns during Interactions with AutoTutor

ERIC Educational Resources Information Center

Graesser, Arthur C.; D'Mello, Sidney K.; Craig, Scotty D.; Witherspoon, Amy; Sullins, Jeremiah; McDaniel, Bethany; Gholson, Barry

2008-01-01

Relations between emotions (affect states) and learning have recently been explored in the context of AutoTutor. AutoTutor is a tutoring system on the Internet that helps learners construct answers to difficult questions by interacting with them in natural language. AutoTutor has an animated conversation agent and a dialog management facility that…

A State Cyber Hub Operations Framework

DTIC Science & Technology

2016-06-01

to communicate and sense or interact with their internal states or the external environment. Machine Learning: A type of artificial intelligence that... artificial intelligence , and computational linguistics concerned with the interactions between computers and human (natural) languages. Patching: A piece...formalizing a proof of concept for cyber initiatives and developed frameworks for operationalizing the data and intelligence produced across state

An Exploratory Study on How Children Interact with Pedagogic Conversational Agents

ERIC Educational Resources Information Center

Pérez-Marín, Diana; Pascual-Nieto, Ismael

2013-01-01

A pedagogic conversational agent (PCA) can be defined as a computer system that interacts with the student in natural language assuming the role of the instructor, a student or a companion. It can have a personality and can generate different sentences according to the agent or the student mood. Empathy with the students' feelings seems to…

Teachers' Language in Interactions: An Exploratory Examination of Mental State Talk in Early Childhood Education Classrooms

ERIC Educational Resources Information Center

King, Elizabeth; La Paro, Karen

2015-01-01

Research Findings: This study examined 34 Head Start teachers' use of four categories of mental state talk (verbalizations of mental processes using emotion terms, cognition terms, desire terms, and perception terms) during naturally occurring classroom interactions. Transcriptions from classroom videos were coded for mental state talk…

Language related differences of the sustained response evoked by natural speech sounds.

PubMed

Fan, Christina Siu-Dschu; Zhu, Xingyu; Dosch, Hans Günter; von Stutterheim, Christiane; Rupp, André

2017-01-01

In tonal languages, such as Mandarin Chinese, the pitch contour of vowels discriminates lexical meaning, which is not the case in non-tonal languages such as German. Recent data provide evidence that pitch processing is influenced by language experience. However, there are still many open questions concerning the representation of such phonological and language-related differences at the level of the auditory cortex (AC). Using magnetoencephalography (MEG), we recorded transient and sustained auditory evoked fields (AEF) in native Chinese and German speakers to investigate language related phonological and semantic aspects in the processing of acoustic stimuli. AEF were elicited by spoken meaningful and meaningless syllables, by vowels, and by a French horn tone. Speech sounds were recorded from a native speaker and showed frequency-modulations according to the pitch-contours of Mandarin. The sustained field (SF) evoked by natural speech signals was significantly larger for Chinese than for German listeners. In contrast, the SF elicited by a horn tone was not significantly different between groups. Furthermore, the SF of Chinese subjects was larger when evoked by meaningful syllables compared to meaningless ones, but there was no significant difference regarding whether vowels were part of the Chinese phonological system or not. Moreover, the N100m gave subtle but clear evidence that for Chinese listeners other factors than purely physical properties play a role in processing meaningful signals. These findings show that the N100 and the SF generated in Heschl's gyrus are influenced by language experience, which suggests that AC activity related to specific pitch contours of vowels is influenced in a top-down fashion by higher, language related areas. Such interactions are in line with anatomical findings and neuroimaging data, as well as with the dual-stream model of language of Hickok and Poeppel that highlights the close and reciprocal interaction between superior temporal gyrus and sulcus.

Natural language indicators of differential gene regulation in the human immune system.

PubMed

Mehl, Matthias R; Raison, Charles L; Pace, Thaddeus W W; Arevalo, Jesusa M G; Cole, Steve W

2017-11-21

Adverse social conditions have been linked to a conserved transcriptional response to adversity (CTRA) in circulating leukocytes that may contribute to social gradients in disease. However, the CNS mechanisms involved remain obscure, in part because CTRA gene-expression profiles often track external social-environmental variables more closely than they do self-reported internal affective states such as stress, depression, or anxiety. This study examined the possibility that variations in patterns of natural language use might provide more sensitive indicators of the automatic threat-detection and -response systems that proximally regulate autonomic induction of the CTRA. In 22,627 audio samples of natural speech sampled from the daily interactions of 143 healthy adults, both total language output and patterns of function-word use covaried with CTRA gene expression. These language features predicted CTRA gene expression substantially better than did conventional self-report measures of stress, depression, and anxiety and did so independently of demographic and behavioral factors (age, sex, race, smoking, body mass index) and leukocyte subset distributions. This predictive relationship held when language and gene expression were sampled more than a week apart, suggesting that associations reflect stable individual differences or chronic life circumstances. Given the observed relationship between personal expression and gene expression, patterns of natural language use may provide a useful behavioral indicator of nonconsciously evaluated well-being (implicit safety vs. threat) that is distinct from conscious affective experience and more closely tracks the neurobiological processes involved in peripheral gene regulation. Copyright © 2017 the Author(s). Published by PNAS.

Pair Interactions and Mode of Communication: Comparing Face-to-Face and Computer Mediated Communication

ERIC Educational Resources Information Center

Tan, Lan Liana; Wigglesworth, Gillian; Storch, Neomy

2010-01-01

In today's second language classrooms, students are often asked to work in pairs or small groups. Such collaboration can take place face-to-face, but now more often via computer mediated communication. This paper reports on a study which investigated the effect of the medium of communication on the nature of pair interaction. The study involved…

The Design of Hand Gestures for Human-Computer Interaction: Lessons from Sign Language Interpreters

PubMed Central

Rempel, David; Camilleri, Matt J.; Lee, David L.

2015-01-01

The design and selection of 3D modeled hand gestures for human-computer interaction should follow principles of natural language combined with the need to optimize gesture contrast and recognition. The selection should also consider the discomfort and fatigue associated with distinct hand postures and motions, especially for common commands. Sign language interpreters have extensive and unique experience forming hand gestures and many suffer from hand pain while gesturing. Professional sign language interpreters (N=24) rated discomfort for hand gestures associated with 47 characters and words and 33 hand postures. Clear associations of discomfort with hand postures were identified. In a nominal logistic regression model, high discomfort was associated with gestures requiring a flexed wrist, discordant adjacent fingers, or extended fingers. These and other findings should be considered in the design of hand gestures to optimize the relationship between human cognitive and physical processes and computer gesture recognition systems for human-computer input. PMID:26028955

Use of the Outdoor Classroom and Nature-Study to Support Science and Literacy Learning: A Narrative Case Study of a Third-Grade Classroom

NASA Astrophysics Data System (ADS)

Eick, Charles J.

2012-11-01

A case study of an exemplary third grade teacher's use of the outdoor classroom for meeting both state science and language arts standards is described. Data from the researcher's field journal, teacher lesson plans, and teacher interviews document how this teacher used nature-study to bridge outdoor classroom experiences with the state science and language arts curriculum. This teacher's early life experiences supported her strong interest in science and nature in the outdoors and experiencing it with her children. Children interacted with the outdoor classroom throughout the day as a context for science and literacy learning. All but one child successfully met Annual Yearly Progress (AYP) goals in reading at the end of the school year.

Predicting Foreign Language Usage from English-Only Social Media Posts

DOE Office of Scientific and Technical Information (OSTI.GOV)

Volkova, Svitlana; Ranshous, Stephen M.; Phillips, Lawrence A.

Social media is known for its multicultural and multilingual interactions, a natural product of which is code-mixing. Multilingual speakers mix languages they tweet to address a different audience, express certain feelings, or attract attention. This paper presents a large-scale analysis of 6 million tweets produced by 23 thousand multilingual users speaking 11 other languages besides English. We rely on this multilingual corpus to build predictive models for a novel task – inferring non- English languages that users speak exclusively from their English tweets. We contrast the predictive power of different linguistic signals and report that lexical content and syntactic structuremore » of English tweets are the most predictive of non-English languages that users speak on Twitter. By analyzing cross-lingual transfer – the influence of non-English languages on various levels of linguistic performance in English, we present novel findings on stylistic and syntactic variations across speakers of 11 languages.« less

Programming languages for synthetic biology.

PubMed

Umesh, P; Naveen, F; Rao, Chanchala Uma Maheswara; Nair, Achuthsankar S

2010-12-01

In the backdrop of accelerated efforts for creating synthetic organisms, the nature and scope of an ideal programming language for scripting synthetic organism in-silico has been receiving increasing attention. A few programming languages for synthetic biology capable of defining, constructing, networking, editing and delivering genome scale models of cellular processes have been recently attempted. All these represent important points in a spectrum of possibilities. This paper introduces Kera, a state of the art programming language for synthetic biology which is arguably ahead of similar languages or tools such as GEC, Antimony and GenoCAD. Kera is a full-fledged object oriented programming language which is tempered by biopart rule library named Samhita which captures the knowledge regarding the interaction of genome components and catalytic molecules. Prominent feature of the language are demonstrated through a toy example and the road map for the future development of Kera is also presented.

Conceptual clusters in figurative language production.

PubMed

Corts, Daniel P; Meyers, Kristina

2002-07-01

Although most prior research on figurative language examines comprehension, several recent studies on the production of such language have proved to be informative. One of the most noticeable traits of figurative language production is that it is produced at a somewhat random rate with occasional bursts of highly figurative speech (e.g., Corts & Pollio, 1999). The present article seeks to extend these findings by observing production during speech that involves a very high base rate of figurative language, making statistically defined bursts difficult to detect. In an analysis of three Baptist sermons, burst-like clusters of figurative language were identified. Further study indicated that these clusters largely involve a central root metaphor that represents the topic under consideration. An interaction of the coherence, along with a conceptual understanding of a topic and the relative importance of the topic to the purpose of the speech, is offered as the most likely explanation for the clustering of figurative language in natural speech.

Prediction of enhancer-promoter interactions via natural language processing.

PubMed

Zeng, Wanwen; Wu, Mengmeng; Jiang, Rui

2018-05-09

Precise identification of three-dimensional genome organization, especially enhancer-promoter interactions (EPIs), is important to deciphering gene regulation, cell differentiation and disease mechanisms. Currently, it is a challenging task to distinguish true interactions from other nearby non-interacting ones since the power of traditional experimental methods is limited due to low resolution or low throughput. We propose a novel computational framework EP2vec to assay three-dimensional genomic interactions. We first extract sequence embedding features, defined as fixed-length vector representations learned from variable-length sequences using an unsupervised deep learning method in natural language processing. Then, we train a classifier to predict EPIs using the learned representations in supervised way. Experimental results demonstrate that EP2vec obtains F1 scores ranging from 0.841~ 0.933 on different datasets, which outperforms existing methods. We prove the robustness of sequence embedding features by carrying out sensitivity analysis. Besides, we identify motifs that represent cell line-specific information through analysis of the learned sequence embedding features by adopting attention mechanism. Last, we show that even superior performance with F1 scores 0.889~ 0.940 can be achieved by combining sequence embedding features and experimental features. EP2vec sheds light on feature extraction for DNA sequences of arbitrary lengths and provides a powerful approach for EPIs identification.

Understanding a technical language: A schema-based approach

NASA Technical Reports Server (NTRS)

Falzon, P.

1984-01-01

Workers in many job categories tend to develop technical languages, which are restricted subjects of natural language. A better knowledge of these retrictions provides guidelines for the design of the restricted languages of interactive systems. Accordingly, a technical language used by air-traffic controllers in their communications with pilots was studied. A method of analysis is presented that allows the schemata underlying each category of messages to be identified. This schematic knowledge was implemented in programs, which assume that the goal-oriented aspect of technical languages (and particularly the restricted domain of discourse) limits the processes and the data necessary in order to understand the messages (monosemy, limited vocabulary, evocation of the schemata by some command words, absence of syntax). The programs can interpret, and translate into sequences of action, the messages emitted by the controllers.

Automatic reconstruction of a bacterial regulatory network using Natural Language Processing

PubMed Central

Rodríguez-Penagos, Carlos; Salgado, Heladia; Martínez-Flores, Irma; Collado-Vides, Julio

2007-01-01

Background Manual curation of biological databases, an expensive and labor-intensive process, is essential for high quality integrated data. In this paper we report the implementation of a state-of-the-art Natural Language Processing system that creates computer-readable networks of regulatory interactions directly from different collections of abstracts and full-text papers. Our major aim is to understand how automatic annotation using Text-Mining techniques can complement manual curation of biological databases. We implemented a rule-based system to generate networks from different sets of documents dealing with regulation in Escherichia coli K-12. Results Performance evaluation is based on the most comprehensive transcriptional regulation database for any organism, the manually-curated RegulonDB, 45% of which we were able to recreate automatically. From our automated analysis we were also able to find some new interactions from papers not already curated, or that were missed in the manual filtering and review of the literature. We also put forward a novel Regulatory Interaction Markup Language better suited than SBML for simultaneously representing data of interest for biologists and text miners. Conclusion Manual curation of the output of automatic processing of text is a good way to complement a more detailed review of the literature, either for validating the results of what has been already annotated, or for discovering facts and information that might have been overlooked at the triage or curation stages. PMID:17683642

Software Review: "The Secret Codes of C.Y.P.H.E.R.: Operation Wildlife."

ERIC Educational Resources Information Center

Bober, Marcie

1992-01-01

Describes "The Secret Codes of C.Y.P.H.E.R.: Operation Wildlife," a software program for language arts classrooms that joins natural science and communication/cryptography topics in a secret-agent interactive setting. (SR)

Making Sense of Texts

ERIC Educational Resources Information Center

Harper, Rebecca G.

2014-01-01

This article addresses the triadic nature regarding meaning construction of texts. Grounded in Rosenblatt's (1995; 1998; 2004) Transactional Theory, research conducted in an undergraduate Language Arts curriculum course revealed that when presented with unfamiliar texts, students used prior experiences, social interactions, and literary strategies…

Facilitating emergent literacy: efficacy of a model that partners speech-language pathologists and educators.

PubMed

Girolametto, Luigi; Weitzman, Elaine; Greenberg, Janice

2012-02-01

This study examined the efficacy of a professional development program for early childhood educators that facilitated emergent literacy skills in preschoolers. The program, led by a speech-language pathologist, focused on teaching alphabet knowledge, print concepts, sound awareness, and decontextualized oral language within naturally occurring classroom interactions. Twenty educators were randomly assigned to experimental and control groups. Educators each recruited 3 to 4 children from their classrooms to participate. The experimental group participated in 18 hr of group training and 3 individual coaching sessions with a speech-language pathologist. The effects of intervention were examined in 30 min of videotaped interaction, including storybook reading and a post-story writing activity. At posttest, educators in the experimental group used a higher rate of utterances that included print/sound references and decontextualized language than the control group. Similarly, the children in the experimental group used a significantly higher rate of utterances that included print/sound references and decontextualized language compared to the control group. These findings suggest that professional development provided by a speech-language pathologist can yield short-term changes in the facilitation of emergent literacy skills in early childhood settings. Future research is needed to determine the impact of this program on the children's long-term development of conventional literacy skills.

Overcoming language barriers in healthcare: A protocol for investigating safe and effective communication when patients or clinicians use a second language.

PubMed

Meuter, Renata F I; Gallois, Cindy; Segalowitz, Norman S; Ryder, Andrew G; Hocking, Julia

2015-09-10

Miscommunication in the healthcare sector can be life-threatening. The rising number of migrant patients and foreign-trained staff means that communication errors between a healthcare practitioner and patient when one or both are speaking a second language are increasingly likely. However, there is limited research that addresses this issue systematically. This protocol outlines a hospital-based study examining interactions between healthcare practitioners and their patients who either share or do not share a first language. Of particular interest are the nature and efficacy of communication in language-discordant conversations, and the degree to which risk is communicated. Our aim is to understand language barriers and miscommunication that may occur in healthcare settings between patients and healthcare practitioners, especially where at least one of the speakers is using a second (weaker) language. Eighty individual interactions between patients and practitioners who speak either English or Chinese (Mandarin or Cantonese) as their first language will be video recorded in a range of in- and out-patient departments at three hospitals in the Metro South area of Brisbane, Australia. All participants will complete a language background questionnaire. Patients will also complete a short survey rating the effectiveness of the interaction. Recordings will be transcribed and submitted to both quantitative and qualitative analyses to determine elements of the language used that might be particularly problematic and the extent to which language concordance and discordance impacts on the quality of the patient-practitioner consultation. Understanding the role that language plays in creating barriers to healthcare is critical for healthcare systems that are experiencing an increasing range of culturally and linguistically diverse populations both amongst patients and practitioners. The data resulting from this study will inform policy and practical solutions for communication training, provide an agenda for future research, and extend theory in health communication.

Behavioral Issues in the Use of Interactive Systems

DTIC Science & Technology

1976-12-14

communication. American Psychologist, 1971, 26, 949-961. Codd , E. F . Seven steps to rendezvous with the casual user. IBM Research Report, RI 1333. 1974. Conrad...Approved for public releasel distribution unlimited. F LL(I j i’ This ~Research wavs spotdi pr yteEnierons~ao _ 1Repr o seionrin who Zur ichati emte...natural language ( Codd , 1974). Behavioral work has shown that non-programmers could learn to use a laboratory query language in about 3 hours (Thomas

SSC San Diego Biennial Review 2003. Command and Control

DTIC Science & Technology

2003-01-01

systems. IMAT systems use scientific visualizations, three- dimensional graphics, and animations to illustrate com- plex physical interactions in mission...Again, interactive animations are used to explain underlying concepts. For exam- ple, for principles of beamforming using a phased array, a three...solve complex problems. Experts type natural language text, use mouse clicks to provide hints for explanation generation, and use mouse clicks to

Attending to "Culture in the Small": A Narrative Analysis of the Role of Play, Thought and Music in Young Children's World-Making

ERIC Educational Resources Information Center

Barrett, Margaret S.

2016-01-01

Whilst the role of interactive play, thought and language in children's development has been acknowledged, less is known of the role of interactive play, thought and "music." Children's early music-making is both generative and performative in nature and provides a means by which they engage with self and others. Their independent…

Disrupted dynamic network reconfiguration of the language system in temporal lobe epilepsy.

PubMed

He, Xiaosong; Bassett, Danielle S; Chaitanya, Ganne; Sperling, Michael R; Kozlowski, Lauren; Tracy, Joseph I

2018-05-01

Temporal lobe epilepsy tends to reshape the language system causing maladaptive reorganization that can be characterized by task-based functional MRI, and eventually can contribute to surgical decision making processes. However, the dynamic interacting nature of the brain as a complex system is often neglected, with many studies treating the language system as a static monolithic structure. Here, we demonstrate that as a specialized and integrated system, the language network is inherently dynamic, characterized by rich patterns of regional interactions, whose transient dynamics are disrupted in patients with temporal lobe epilepsy. Specifically, we applied tools from dynamic network neuroscience to functional MRI data collected from 50 temporal lobe epilepsy patients and 30 matched healthy controls during performance of a verbal fluency task, as well as during rest. By assigning 16 language-related regions into four subsystems (i.e. bilateral frontal and temporal), we observed regional specialization in both the probability of transient interactions and the frequency of such changes, in both healthy controls and patients during task performance but not rest. Furthermore, we found that both left and right temporal lobe epilepsy patients displayed reduced interactions within the left frontal 'core' subsystem compared to the healthy controls, while left temporal lobe epilepsy patients were unique in showing enhanced interactions between the left frontal 'core' and the right temporal subsystems. Also, both patient groups displayed reduced flexibility in the transient interactions of the left temporal and right frontal subsystems, which formed the 'periphery' of the language network. Importantly, such group differences were again evident only during task condition. Lastly, through random forest regression, we showed that dynamic reconfiguration of the language system tracks individual differences in verbal fluency with superior prediction accuracy compared to traditional activation-based static measures. Our results suggest dynamic network measures may be an effective biomarker for detecting the language dysfunction associated with neurological diseases such as temporal lobe epilepsy, specifying both the type of neuronal communications that are missing in these patients and those that are potentially added but maladaptive. Further advancements along these lines, transforming how we characterize and map language networks in the brain, have a high probability of altering clinical decision making in neurosurgical centres.10.1093/brain/awy042_video1awy042media15754656112001.

Universals and cultural variation in turn-taking in conversation

PubMed Central

Stivers, Tanya; Enfield, N. J.; Brown, Penelope; Englert, Christina; Hayashi, Makoto; Heinemann, Trine; Hoymann, Gertie; Rossano, Federico; de Ruiter, Jan Peter; Yoon, Kyung-Eun; Levinson, Stephen C.

2009-01-01

Informal verbal interaction is the core matrix for human social life. A mechanism for coordinating this basic mode of interaction is a system of turn-taking that regulates who is to speak and when. Yet relatively little is known about how this system varies across cultures. The anthropological literature reports significant cultural differences in the timing of turn-taking in ordinary conversation. We test these claims and show that in fact there are striking universals in the underlying pattern of response latency in conversation. Using a worldwide sample of 10 languages drawn from traditional indigenous communities to major world languages, we show that all of the languages tested provide clear evidence for a general avoidance of overlapping talk and a minimization of silence between conversational turns. In addition, all of the languages show the same factors explaining within-language variation in speed of response. We do, however, find differences across the languages in the average gap between turns, within a range of 250 ms from the cross-language mean. We believe that a natural sensitivity to these tempo differences leads to a subjective perception of dramatic or even fundamental differences as offered in ethnographic reports of conversational style. Our empirical evidence suggests robust human universals in this domain, where local variations are quantitative only, pointing to a single shared infrastructure for language use with likely ethological foundations. PMID:19553212

A software architecture for multidisciplinary applications: Integrating task and data parallelism

NASA Technical Reports Server (NTRS)

Chapman, Barbara; Mehrotra, Piyush; Vanrosendale, John; Zima, Hans

1994-01-01

Data parallel languages such as Vienna Fortran and HPF can be successfully applied to a wide range of numerical applications. However, many advanced scientific and engineering applications are of a multidisciplinary and heterogeneous nature and thus do not fit well into the data parallel paradigm. In this paper we present new Fortran 90 language extensions to fill this gap. Tasks can be spawned as asynchronous activities in a homogeneous or heterogeneous computing environment; they interact by sharing access to Shared Data Abstractions (SDA's). SDA's are an extension of Fortran 90 modules, representing a pool of common data, together with a set of Methods for controlled access to these data and a mechanism for providing persistent storage. Our language supports the integration of data and task parallelism as well as nested task parallelism and thus can be used to express multidisciplinary applications in a natural and efficient way.

Types of verbal interaction with instructable robots

NASA Technical Reports Server (NTRS)

Crangle, C.; Suppes, P.; Michalowski, S.

1987-01-01

An instructable robot is one that accepts instruction in some natural language such as English and uses that instruction to extend its basic repertoire of actions. Such robots are quite different in conception from autonomously intelligent robots, which provide the impetus for much of the research on inference and planning in artificial intelligence. Examined here are the significant problem areas in the design of robots that learn from vebal instruction. Examples are drawn primarily from our earlier work on instructable robots and recent work on the Robotic Aid for the physically disabled. Natural-language understanding by machines is discussed as well as in the possibilities and limits of verbal instruction. The core problem of verbal instruction, namely, how to achieve specific concrete action in the robot in response to commands that express general intentions, is considered, as are two major challenges to instructability: achieving appropriate real-time behavior in the robot, and extending the robot's language capabilities.

Sustaining Multimodal Language Learner Interactions Online

ERIC Educational Resources Information Center

Satar, H. Müge

2015-01-01

Social presence is considered an important quality in computer-mediated communication as it promotes willingness in learners to take risks through participation in interpersonal exchanges (Kehrwald, 2008) and makes communication more natural (Lowenthal, 2010). While social presence has mostly been investigated through questionnaire data and…

Object schemas for grounding language in a responsive robot

NASA Astrophysics Data System (ADS)

Hsiao, Kai-Yuh; Tellex, Stefanie; Vosoughi, Soroush; Kubat, Rony; Roy, Deb

2008-12-01

An approach is introduced for physically grounded natural language interpretation by robots that reacts appropriately to unanticipated physical changes in the environment and dynamically assimilates new information pertinent to ongoing tasks. At the core of the approach is a model of object schemas that enables a robot to encode beliefs about physical objects in its environment using collections of coupled processes responsible for sensorimotor interaction. These interaction processes run concurrently in order to ensure responsiveness to the environment, while co-ordinating sensorimotor expectations, action planning and language use. The model has been implemented on a robot that manipulates objects on a tabletop in response to verbal input. The implementation responds to verbal requests such as 'Group the green block and the red apple', while adapting in real time to unexpected physical collisions and taking opportunistic advantage of any new information it may receive through perceptual and linguistic channels.

A progress report on a NASA research program for embedded computer systems software

NASA Technical Reports Server (NTRS)

Foudriat, E. C.; Senn, E. H.; Will, R. W.; Straeter, T. A.

1979-01-01

The paper presents the results of the second stage of the Multipurpose User-oriented Software Technology (MUST) program. Four primary areas of activities are discussed: programming environment, HAL/S higher-order programming language support, the Integrated Verification and Testing System (IVTS), and distributed system language research. The software development environment is provided by the interactive software invocation system. The higher-order programming language (HOL) support chosen for consideration is HAL/S mainly because at the time it was one of the few HOLs with flight computer experience and it is the language used on the Shuttle program. The overall purpose of IVTS is to provide a 'user-friendly' software testing system which is highly modular, user controlled, and cooperative in nature.

Top-down methodology for human factors research

NASA Technical Reports Server (NTRS)

Sibert, J.

1983-01-01

User computer interaction as a conversation is discussed. The design of user interfaces which depends on viewing communications between a user and the computer as a conversion is presented. This conversation includes inputs to the computer (outputs from the user), outputs from the computer (inputs to the user), and the sequencing in both time and space of those outputs and inputs. The conversation is viewed from the user's side of the conversation. Two languages are modeled: the one with which the user communicates with the computer and the language where communication flows from the computer to the user. Both languages exist on three levels; the semantic, syntactic and lexical. It is suggested that natural languages can also be considered in these terms.

The role of voice input for human-machine communication.

PubMed Central

Cohen, P R; Oviatt, S L

1995-01-01

Optimism is growing that the near future will witness rapid growth in human-computer interaction using voice. System prototypes have recently been built that demonstrate speaker-independent real-time speech recognition, and understanding of naturally spoken utterances with vocabularies of 1000 to 2000 words, and larger. Already, computer manufacturers are building speech recognition subsystems into their new product lines. However, before this technology can be broadly useful, a substantial knowledge base is needed about human spoken language and performance during computer-based spoken interaction. This paper reviews application areas in which spoken interaction can play a significant role, assesses potential benefits of spoken interaction with machines, and compares voice with other modalities of human-computer interaction. It also discusses information that will be needed to build a firm empirical foundation for the design of future spoken and multimodal interfaces. Finally, it argues for a more systematic and scientific approach to investigating spoken input and performance with future language technology. PMID:7479803

Integrating natural language processing and web GIS for interactive knowledge domain visualization

NASA Astrophysics Data System (ADS)

Du, Fangming

Recent years have seen a powerful shift towards data-rich environments throughout society. This has extended to a change in how the artifacts and products of scientific knowledge production can be analyzed and understood. Bottom-up approaches are on the rise that combine access to huge amounts of academic publications with advanced computer graphics and data processing tools, including natural language processing. Knowledge domain visualization is one of those multi-technology approaches, with its aim of turning domain-specific human knowledge into highly visual representations in order to better understand the structure and evolution of domain knowledge. For example, network visualizations built from co-author relations contained in academic publications can provide insight on how scholars collaborate with each other in one or multiple domains, and visualizations built from the text content of articles can help us understand the topical structure of knowledge domains. These knowledge domain visualizations need to support interactive viewing and exploration by users. Such spatialization efforts are increasingly looking to geography and GIS as a source of metaphors and practical technology solutions, even when non-georeferenced information is managed, analyzed, and visualized. When it comes to deploying spatialized representations online, web mapping and web GIS can provide practical technology solutions for interactive viewing of knowledge domain visualizations, from panning and zooming to the overlay of additional information. This thesis presents a novel combination of advanced natural language processing - in the form of topic modeling - with dimensionality reduction through self-organizing maps and the deployment of web mapping/GIS technology towards intuitive, GIS-like, exploration of a knowledge domain visualization. A complete workflow is proposed and implemented that processes any corpus of input text documents into a map form and leverages a web application framework to let users explore knowledge domain maps interactively. This workflow is implemented and demonstrated for a data set of more than 66,000 conference abstracts.

Digital Literacy and Netiquette: Awareness and Perception in EFL Learning Context

ERIC Educational Resources Information Center

Nia, Sara Farshad; Marandi, Susan

2014-01-01

With the growing popularity of digital technologies and computer-mediated communication (CMC), various types of interactive communication technology are being increasingly integrated into foreign/second language learning environments. Nevertheless, due to its nature, online communication is susceptible to misunderstandings and miscommunications,…

Using Conversation MOPs in Natural Language Interfaces.

ERIC Educational Resources Information Center

Turner, Elise H.; Cullingford, Richard E.

1989-01-01

Explores a method of combining convention and intention by representing conversation structure with conversation MOPs (schematic structures that store conversation rules as generalized episodes associated with goals the episodes achieved). Discusses how conversation MOPs process the opening portion of a dialogue in an interactive advice-giving…

Detection of interaction articles and experimental methods in biomedical literature.

PubMed

Schneider, Gerold; Clematide, Simon; Rinaldi, Fabio

2011-10-03

This article describes the approaches taken by the OntoGene group at the University of Zurich in dealing with two tasks of the BioCreative III competition: classification of articles which contain curatable protein-protein interactions (PPI-ACT) and extraction of experimental methods (PPI-IMT). Two main achievements are described in this paper: (a) a system for document classification which crucially relies on the results of an advanced pipeline of natural language processing tools; (b) a system which is capable of detecting all experimental methods mentioned in scientific literature, and listing them with a competitive ranking (AUC iP/R > 0.5). The results of the BioCreative III shared evaluation clearly demonstrate that significant progress has been achieved in the domain of biomedical text mining in the past few years. Our own contribution, together with the results of other participants, provides evidence that natural language processing techniques have become by now an integral part of advanced text mining approaches.

A Goal-Oriented Model of Natural Language Interaction

DTIC Science & Technology

1977-01-01

AHSTKACT This report describes a research program in modeling human communication . The methodology involved selecting a single, naturally-occurring...knowledge is seldom used in the design process. Human communication skills have not bee’’ characferi?ed at a level of detail appropriate for guiding design...necessarily combine to give a complete picture of human communication . Experience over several more dialogues may suggest that one or all be replaced

Learning to Pronounce First Words in Three Languages: An Investigation of Caregiver and Infant Behavior Using a Computational Model of an Infant

PubMed Central

Howard, Ian S.; Messum, Piers

2014-01-01

Words are made up of speech sounds. Almost all accounts of child speech development assume that children learn the pronunciation of first language (L1) speech sounds by imitation, most claiming that the child performs some kind of auditory matching to the elements of ambient speech. However, there is evidence to support an alternative account and we investigate the non-imitative child behavior and well-attested caregiver behavior that this account posits using Elija, a computational model of an infant. Through unsupervised active learning, Elija began by discovering motor patterns, which produced sounds. In separate interaction experiments, native speakers of English, French and German then played the role of his caregiver. In their first interactions with Elija, they were allowed to respond to his sounds if they felt this was natural. We analyzed the interactions through phonemic transcriptions of the caregivers' utterances and found that they interpreted his output within the framework of their native languages. Their form of response was almost always a reformulation of Elija's utterance into well-formed sounds of L1. Elija retained those motor patterns to which a caregiver responded and formed associations between his motor pattern and the response it provoked. Thus in a second phase of interaction, he was able to parse input utterances in terms of the caregiver responses he had heard previously, and respond using his associated motor patterns. This capacity enabled the caregivers to teach Elija to pronounce some simple words in their native languages, by his serial imitation of the words' component speech sounds. Overall, our results demonstrate that the natural responses and behaviors of human subjects to infant-like vocalizations can take a computational model from a biologically plausible initial state through to word pronunciation. This provides support for an alternative to current auditory matching hypotheses for how children learn to pronounce. PMID:25333740

Narrative skills in two languages of Mandarin-English bilingual children.

PubMed

Hao, Ying; Bedore, Lisa M; Sheng, Li; Peña, Elizabeth D

2018-03-08

Narrative skills between Mandarin and English in Mandarin-English (ME) bilingual children were compared, exploring cross-linguistic interactions of these skills, and influences of age and current language experience (input and output) on narrative performance. Macrostructure and microstructure in elicited narratives from 21 ME bilingual children were analysed. Language experience was collected by parent report and entered as a covariate. Repeated measures analysis of covariance (ANCOVA) was conducted to compare the two languages. Children demonstrated better narrative performance in English than Mandarin, with a larger cross-linguistic difference in microstructure than macrostructure. Significant cross-linguistic correlations were only found in children with high Mandarin vocabulary. Age, associated with length of English exposure, only significantly correlated with narrative performance in English. Output had stronger correlations with narrative skills than input. Macrostructure may be less variable across languages than microstructure. Children may need to reach a threshold of vocabulary for cross-linguistic interactions of narrative skills to occur. The effect of age in English may be related to increased cumulative English experience. Children may experience a plateau in Mandarin due to insufficient Mandarin exposure. Stronger correlations between output and narrative skills may be attributed to the expressive nature of both.

A random matrix approach to language acquisition

NASA Astrophysics Data System (ADS)

Nicolaidis, A.; Kosmidis, Kosmas; Argyrakis, Panos

2009-12-01

Since language is tied to cognition, we expect the linguistic structures to reflect patterns that we encounter in nature and are analyzed by physics. Within this realm we investigate the process of lexicon acquisition, using analytical and tractable methods developed within physics. A lexicon is a mapping between sounds and referents of the perceived world. This mapping is represented by a matrix and the linguistic interaction among individuals is described by a random matrix model. There are two essential parameters in our approach. The strength of the linguistic interaction β, which is considered as a genetically determined ability, and the number N of sounds employed (the lexicon size). Our model of linguistic interaction is analytically studied using methods of statistical physics and simulated by Monte Carlo techniques. The analysis reveals an intricate relationship between the innate propensity for language acquisition β and the lexicon size N, N~exp(β). Thus a small increase of the genetically determined β may lead to an incredible lexical explosion. Our approximate scheme offers an explanation for the biological affinity of different species and their simultaneous linguistic disparity.

On Norbert Wiener on language

NASA Astrophysics Data System (ADS)

Julià, Pere

2001-06-01

Norbert Wiener (1948, 1950) subscribed to the traditional outlook on language as a formal object (L)—a system of forms and rules that can presumably be described in abstraction from speakers, listeners, and their interaction with the world and with themselves. Information and communication theories, which Wiener also pioneered, similarly reify the object of study in lieu of treating it as the natural phenomenon it obviously is. Terms like `input,' `output,' `message,' `transmission,' `processing,' etc. implicitly legitimize older views as to the use of language as a "tool" or "instrument" for expressing feelings, thoughts, ideas, etc.; more important yet, they stand in the way of a satisfactory account of self-referentiality, which finds its natural place within the broader context of self-regulation. Cybernetics may be said to have lost sight of the "kybernetes," which gave it its name. The ways in which language participates in—or even helps to integrate—the behavior of the total human individual in his/her adaptation to their milieu casts a new light on questions about self-organization, meaning, experience, and creativity.

The Assessment of Reading Comprehension Difficulties for Reading Intervention

ERIC Educational Resources Information Center

Woolley, Gary

2008-01-01

There are many environmental and personal factors that contribute to reading success. Reading comprehension is a complex interaction of language, sensory perception, memory, and motivational aspects. However, most existing assessment tools have not adequately reflected the complex nature of reading comprehension. Good assessment requires a…

Social media based NPL system to find and retrieve ARM data: Concept paper

DOE Office of Scientific and Technical Information (OSTI.GOV)

Devarakonda, Ranjeet; Giansiracusa, Michael T.; Kumar, Jitendra

Information connectivity and retrieval has a role in our daily lives. The most pervasive source of online information is databases. The amount of data is growing at rapid rate and database technology is improving and having a profound effect. Almost all online applications are storing and retrieving information from databases. One challenge in supplying the public with wider access to informational databases is the need for knowledge of database languages like Structured Query Language (SQL). Although the SQL language has been published in many forms, not everybody is able to write SQL queries. Another challenge is that it may notmore » be practical to make the public aware of the structure of the database. There is a need for novice users to query relational databases using their natural language. To solve this problem, many natural language interfaces to structured databases have been developed. The goal is to provide more intuitive method for generating database queries and delivering responses. Social media makes it possible to interact with a wide section of the population. Through this medium, and with the help of Natural Language Processing (NLP) we can make the data of the Atmospheric Radiation Measurement Data Center (ADC) more accessible to the public. We propose an architecture for using Apache Lucene/Solr [1], OpenML [2,3], and Kafka [4] to generate an automated query/response system with inputs from Twitter5, our Cassandra DB, and our log database. Using the Twitter API and NLP we can give the public the ability to ask questions of our database and get automated responses.« less

DOE Office of Scientific and Technical Information (OSTI.GOV)

Devarakonda, Ranjeet; Giansiracusa, Michael T.; Kumar, Jitendra

Information connectivity and retrieval has a role in our daily lives. The most pervasive source of online information is databases. The amount of data is growing at rapid rate and database technology is improving and having a profound effect. Almost all online applications are storing and retrieving information from databases. One challenge in supplying the public with wider access to informational databases is the need for knowledge of database languages like Structured Query Language (SQL). Although the SQL language has been published in many forms, not everybody is able to write SQL queries. Another challenge is that it may notmore » be practical to make the public aware of the structure of the database. There is a need for novice users to query relational databases using their natural language. To solve this problem, many natural language interfaces to structured databases have been developed. The goal is to provide more intuitive method for generating database queries and delivering responses. Social media makes it possible to interact with a wide section of the population. Through this medium, and with the help of Natural Language Processing (NLP) we can make the data of the Atmospheric Radiation Measurement Data Center (ADC) more accessible to the public. We propose an architecture for using Apache Lucene/Solr [1], OpenML [2,3], and Kafka [4] to generate an automated query/response system with inputs from Twitter5, our Cassandra DB, and our log database. Using the Twitter API and NLP we can give the public the ability to ask questions of our database and get automated responses.« less

User Interaction Modeling and Profile Extraction in Interactive Systems: A Groupware Application Case Study †

PubMed Central

Tîrnăucă, Cristina; Duque, Rafael; Montaña, José L.

2017-01-01

A relevant goal in human–computer interaction is to produce applications that are easy to use and well-adjusted to their users’ needs. To address this problem it is important to know how users interact with the system. This work constitutes a methodological contribution capable of identifying the context of use in which users perform interactions with a groupware application (synchronous or asynchronous) and provides, using machine learning techniques, generative models of how users behave. Additionally, these models are transformed into a text that describes in natural language the main characteristics of the interaction of the users with the system. PMID:28726762

Word recognition and phonetic structure acquisition: Possible relations

NASA Astrophysics Data System (ADS)

Morgan, James

2002-05-01

Several accounts of possible relations between the emergence of the mental lexicon and acquisition of native language phonological structure have been propounded. In one view, acquisition of word meanings guides infants' attention toward those contrasts that are linguistically significant in their language. In the opposing view, native language phonological categories may be acquired from statistical patterns of input speech, prior to and independent of learning at the lexical level. Here, a more interactive account will be presented, in which phonological structure is modeled as emerging consequentially from the self-organization of perceptual space underlying word recognition. A key prediction of this model is that early native language phonological categories will be highly context specific. Data bearing on this prediction will be presented which provide clues to the nature of infants' statistical analysis of input.

Language Patterns and Therapeutic Change.

ERIC Educational Resources Information Center

Phoenix, Valdemar G.; Lindeman, Mary L.

Noting that the mental health practitioner needs highly developed linguistic and communicative skills in order to precipitate therapeutic changes, this paper discusses the nature of the contexts of therapeutic interaction. It examines verb tense as a linguistic context marker and shows how various schools of therapy can use it. In addition, it…

Air Pollution Translations: A Bibliography With Abstracts - Volume 1.

ERIC Educational Resources Information Center

National Air Pollution Control Administration (DHEW), Washington, DC.

Cited are 558 references with abstracts translated from the original foreign languages, including 511 from Russian, 129 from German, and 18 from other countries. The entries are generally of a technical or advanced nature and are grouped into 13 subject areas: General, Emission Sources, Atmospheric Interaction, Measurement Methods, Control…

From Linguistic Competence to Communicative Competence.

ERIC Educational Resources Information Center

Rivers, Wilga M.

It is hypothesized that free, spontaneous interaction cannot be easily attained in language courses which are rigid and mechanical. For this reason, the author urges the development of instructional materials which facilitate a smooth and natural transition from "skill-getting" to "skill-using." Discussion of Jerome Bruner's theory of language…

Natural Language Processing and Game-Based Practice in iSTART

ERIC Educational Resources Information Center

Jackson, Tanner; Boonthum-Denecke, Chutima; McNamara, Danielle

2015-01-01

Intelligent Tutoring Systems (ITSs) are situated in a potential struggle between effective pedagogy and system enjoyment and engagement. iSTART (Interactive Strategy Training for Active Reading and Thinking), a reading strategy tutoring system in which students practice generating self-explanations and using reading strategies, employs two devices…

Communicative and Analytic Strategies in Naturalistic Second Language Acquisition.

ERIC Educational Resources Information Center

Strage, Amy A.

The interaction of two elementary-age American children with their bilingual mother and French-speaking peers was monitored to determine learning strategies in a natural French immersion situation. Seven strategies were discovered, each of which provided the necessary ingredients of processible input, practice, and feedback to the language…

Toward an Integrated View of Early Language and Communication Development and Socioemotional Development.

ERIC Educational Resources Information Center

Prizant, Barry M.; Wetherby, Amy M.

1990-01-01

The article reviews literature on the integrated nature of early communication and socioemotional development in children. It discusses two models, one addressing the role of the development of mutual (interactive) and self-regulatory capacities in young children's socioemotional development, and a transactional model conceptualizing the complex…

Palatalization and Intrinsic Prosodic Vowel Features in Russian

ERIC Educational Resources Information Center

Ordin, Mikhail

2011-01-01

The presented study is aimed at investigating the interaction of palatalization and intrinsic prosodic features of the vowel in CVC (consonant+vowel+consonant) syllables in Russian. The universal nature of intrinsic prosodic vowel features was confirmed with the data from the Russian language. It was found that palatalization of the consonants…

Circuit II--A Conversational Graphical Interface.

ERIC Educational Resources Information Center

Singer, Ronald A.

1993-01-01

Provides an overview of Circuit II, an interactive system that provides users with a graphical representation of an electronic circuit within which questions may be posed and manipulated, and discusses how mouse selections have analogous roles to certain natural language features, such as anaphora, deixis, and ellipsis. (13 references) (EA)

Improving the Efficiency of Dialogue in Tutoring

ERIC Educational Resources Information Center

Kopp, Kristopher J.; Britt, M. Anne; Millis, Keith; Graesser, Arthur C.

2012-01-01

The current studies investigated the efficient use of dialogue in intelligent tutoring systems that use natural language interaction. Such dialogues can be relatively time-consuming. This work addresses the question of how much dialogue is needed to produce significant learning gains. In Experiment 1, a full dialogue condition and a read-only…

Processing Trade-Offs in Non-Native Learners' Performance of Narrative Tasks

ERIC Educational Resources Information Center

Ben Maad, Mohamed Ridha

2011-01-01

Exploring learners' processes of memory and analysis has captivated considerable attention among language-learning researchers due to the recent prevalence of key concepts from feeder disciplines such as cognitive psychology and phraseology. However, there has been little empirical effort to describe the nature of interaction between these two…

Classroom Interactions as Cross-Cultural Encounters: Native Speakers in EFL Lessons

ERIC Educational Resources Information Center

Luk, Jasmine C. M.; Lin, Angel M. Y.

2006-01-01

This book is about native English speakers teaching English as a global language in non-English speaking countries. Through analysis of naturally occurring dialogic encounters, the authors examine the multifaceted ways in which teachers and students utilize diverse communicative resources to construct, display, and negotiate their identities as…

Common Ground: An Interactive Visual Exploration and Discovery for Complex Health Data

DTIC Science & Technology

2015-04-01

working with Intermountain Healthcare on a new rich dataset extracted directly from medical notes using natural language processing ( NLP ) algorithms...probabilities based on a state- of-the-art NLP classifiers. At that stage the data did not include geographic information or temporal information but we

The Complex Nature of Bilinguals' Language Usage Modulates Task-Switching Outcomes

PubMed Central

Yang, Hwajin; Hartanto, Andree; Yang, Sujin

2016-01-01

In view of inconsistent findings regarding bilingual advantages in executive functions (EF), we reviewed the literature to determine whether bilinguals' different language usage causes measureable changes in the shifting aspects of EF. By drawing on the theoretical framework of the adaptive control hypothesis—which postulates a critical link between bilinguals' varying demands on language control and adaptive cognitive control (Green and Abutalebi, 2013), we examined three factors that characterize bilinguals' language-switching experience: (a) the interactional context of conversational exchanges, (b) frequency of language switching, and (c) typology of code-switching. We also examined whether methodological variations in previous task-switching studies modulate task-specific demands on control processing and lead to inconsistencies in the literature. Our review demonstrates that not only methodological rigor but also a more finely grained, theory-based approach will be required to understand the cognitive consequences of bilinguals' varied linguistic practices in shifting EF. PMID:27199800

How long-term memory and accentuation interact during spoken language comprehension.

PubMed

Li, Xiaoqing; Yang, Yufang

2013-04-01

Spoken language comprehension requires immediate integration of different information types, such as semantics, syntax, and prosody. Meanwhile, both the information derived from speech signals and the information retrieved from long-term memory exert their influence on language comprehension immediately. Using EEG (electroencephalogram), the present study investigated how the information retrieved from long-term memory interacts with accentuation during spoken language comprehension. Mini Chinese discourses were used as stimuli, with an interrogative or assertive context sentence preceding the target sentence. The target sentence included one critical word conveying new information. The critical word was either highly expected or lowly expected given the information retrieved from long-term memory. Moreover, the critical word was either consistently accented or inconsistently de-accented. The results revealed that for lowly expected new information, inconsistently de-accented words elicited a larger N400 and larger theta power increases (4-6 Hz) than consistently accented words. In contrast, for the highly expected new information, consistently accented words elicited a larger N400 and larger alpha power decreases (8-14 Hz) than inconsistently de-accented words. The results suggest that, during spoken language comprehension, the effect of accentuation interacted with the information retrieved from long-term memory immediately. Moreover, our results also have important consequences for our understanding of the processing nature of the N400. The N400 amplitude is not only enhanced for incorrect information (new and de-accented word) but also enhanced for correct information (new and accented words). Copyright © 2013 Elsevier Ltd. All rights reserved.

Natural Language Processing.

ERIC Educational Resources Information Center

Chowdhury, Gobinda G.

2003-01-01

Discusses issues related to natural language processing, including theoretical developments; natural language understanding; tools and techniques; natural language text processing systems; abstracting; information extraction; information retrieval; interfaces; software; Internet, Web, and digital library applications; machine translation for…

Power in methods: language to infants in structured and naturalistic contexts.

PubMed

Tamis-LeMonda, Catherine S; Kuchirko, Yana; Luo, Rufan; Escobar, Kelly; Bornstein, Marc H

2017-11-01

Methods can powerfully affect conclusions about infant experiences and learning. Data from naturalistic observations may paint a very different picture of learning and development from those based on structured tasks, as illustrated in studies of infant walking, object permanence, intention understanding, and so forth. Using language as a model system, we compared the speech of 40 mothers to their 13-month-old infants during structured play and naturalistic home routines. The contrasting methods yielded unique portrayals of infant language experiences, while simultaneously underscoring cross-situational correspondence at an individual level. Infants experienced substantially more total words and different words per minute during structured play than they did during naturalistic routines. Language input during structured play was consistently dense from minute to minute, whereas language during naturalistic routines showed striking fluctuations interspersed with silence. Despite these differences, infants' language experiences during structured play mirrored the peak language interactions infants experienced during naturalistic routines, and correlations between language inputs in the two conditions were strong. The implications of developmental methods for documenting the nature of experiences and individual differences are discussed. © 2017 John Wiley & Sons Ltd.

How do German bilingual schoolchildren process German prepositions? - A study on language-motor interactions.

PubMed

Ahlberg, Daniela Katharina; Bischoff, Heike; Strozyk, Jessica Vanessa; Bryant, Doreen; Kaup, Barbara

2018-01-01

While much support is found for embodied language processing in a first language (L1), evidence for embodiment in second language (L2) processing is rather sparse. In a recent study, we found support for L2 embodiment, but also an influence of L1 on L2 processing in adult learners. In the present study, we compared bilingual schoolchildren who speak German as one of their languages with monolingual German schoolchildren. We presented the German prepositions auf (on), über (above), and unter (under) in a Stroop-like task. Upward or downward responses were made depending on the font colour, resulting in compatible and incompatible trials. We found compatibility effects for all children, but in contrast to the adult sample, there were no processing differences between the children depending on the nature of their other language, suggesting that the processing of German prepositions of bilingual children is embodied in a similar way as in monolingual German children.

How do German bilingual schoolchildren process German prepositions? – A study on language-motor interactions

PubMed Central

Bischoff, Heike; Strozyk, Jessica Vanessa; Bryant, Doreen; Kaup, Barbara

2018-01-01

While much support is found for embodied language processing in a first language (L1), evidence for embodiment in second language (L2) processing is rather sparse. In a recent study, we found support for L2 embodiment, but also an influence of L1 on L2 processing in adult learners. In the present study, we compared bilingual schoolchildren who speak German as one of their languages with monolingual German schoolchildren. We presented the German prepositions auf (on), über (above), and unter (under) in a Stroop-like task. Upward or downward responses were made depending on the font colour, resulting in compatible and incompatible trials. We found compatibility effects for all children, but in contrast to the adult sample, there were no processing differences between the children depending on the nature of their other language, suggesting that the processing of German prepositions of bilingual children is embodied in a similar way as in monolingual German children. PMID:29538404

Database of Industrial Technological Information in Kanagawa : Networks for Technology Activities

NASA Astrophysics Data System (ADS)

Saito, Akira; Shindo, Tadashi

This system is one of the databases which require participation by its members and of which premise is to open all the data in it. Aiming at free technological cooperation and exchange among industries it was constructed by Kanagawa Prefecture in collaboration with enterprises located in it. The input data is 36 items such as major product, special and advantageous technology, technolagy to be wanted for cooperation, facility and equipment, which technologically characterize each enterprise. They are expressed in 2,000 characters and written by natural language including Kanji except for some coded items. 24 search items are accessed by natural language so that in addition to interactive searching procedures including menu-type it enables extensive searching. The information service started in Oct., 1986 covering data from 2,000 enterprisen.

The evolution processes of DNA sequences, languages and carols

NASA Astrophysics Data System (ADS)

Hauck, Jürgen; Henkel, Dorothea; Mika, Klaus

2001-04-01

The sequences of bases A, T, C and G of about 100 enolase, secA and cytochrome DNA were analyzed for attractive or repulsive interactions by the numbers T 1,T 2,T 3; r of nearest, next-nearest and third neighbor bases of the same kind and the concentration r=other bases/analyzed base. The area of possible T1, T2 values is limited by the linear borders T 2=2T 1-2, T 2=0 or T1=0 for clustering, attractive or repulsive interactions and the border T2=-2 T1+2(2- r) for a variation from repulsive to attractive interactions at r⩽2. Clustering is preferred by most bases in sequences of enolases and secA’ s. Major deviations with repulsive interactions of some bases are observed for archaea bacteria in secA and for highly developed animals and the human species in enolase sequences. The borders of the structure map for enthalpy stabilized structures with maximum interactions are approached in few cases. Most letters of the natural languages and some music notes are at the borders of the structure map.

The Further Development of CSIEC Project Driven by Application and Evaluation in English Education

ERIC Educational Resources Information Center

Jia, Jiyou; Chen, Weichao

2009-01-01

In this paper, we present the comprehensive version of CSIEC (Computer Simulation in Educational Communication), an interactive web-based human-computer dialogue system with natural language for English instruction, and its tentative application and evaluation in English education. First, we briefly introduce the motivation for this project,…

Moviemaking for the Language Acquisition Classroom: Engage Your Students with an Instructional "Soap"

ERIC Educational Resources Information Center

Carlson, Gigi; Crowther, Judith

2004-01-01

Television melodrama, like grand opera, is constructed to formula. Character interactions are highly charged and plot dominates, initiating excitement, suspense, and raising questions around timeless and universal themes. Despite--or because of--their extreme nature, the soaps remain one of the longest-standing television genres, with the loyal…

The Heinz Electronic Library Interactive On-line System (HELIOS): An Update.

ERIC Educational Resources Information Center

Galloway, Edward A.; Michalek, Gabrielle V.

1998-01-01

Describes a project at Carnegie Mellon University libraries to convert the congressional papers of the late Senator John Heinz to digital format and to create an online system to search and retrieve these papers. Highlights include scanning, optical character recognition, and a search engine utilizing natural language processing. (Author/LRW)

Intelligent Fuzzy Spelling Evaluator for e-Learning Systems

ERIC Educational Resources Information Center

Chakraborty, Udit Kr.; Konar, Debanjan; Roy, Samir; Choudhury, Sankhayan

2016-01-01

Evaluating Learners' Response in an e-Learning environment has been the topic of current research in areas of Human Computer Interaction, e-Learning, Education Technology and even Natural Language Processing. The current paper presents a twofold strategy to evaluate single word response of a learner in an e-Learning environment. The response of…

Information retrieval system utilizing wavelet transform

DOEpatents

Brewster, Mary E.; Miller, Nancy E.

2000-01-01

A method for automatically partitioning an unstructured electronically formatted natural language document into its sub-topic structure. Specifically, the document is converted to an electronic signal and a wavelet transform is then performed on the signal. The resultant signal may then be used to graphically display and interact with the sub-topic structure of the document.

The Nature of Discourse as Students Collaborate on a Mathematics WebQuest

ERIC Educational Resources Information Center

Orme, Michelle P.; Monroe, Eula Ewing

2005-01-01

Students were audio taped while working in teams on a WebQuest. Although gender-segregated, each team included both fifth- and sixth-graders. Interactions from two tasks were analyzed according to categories (exploratory, cumulative, disputational, tutorial) defined by the Spoken Language and New Technology (SLANT) project (e.g., Wegerif &…

Classrooms as Complex Adaptive Systems: A Relational Model

ERIC Educational Resources Information Center

Burns, Anne; Knox, John S.

2011-01-01

In this article, we describe and model the language classroom as a complex adaptive system (see Logan & Schumann, 2005). We argue that linear, categorical descriptions of classroom processes and interactions do not sufficiently explain the complex nature of classrooms, and cannot account for how classroom change occurs (or does not occur), over…

Adapting Web content for low-literacy readers by using lexical elaboration and named entities labeling

NASA Astrophysics Data System (ADS)

Watanabe, W. M.; Candido, A.; Amâncio, M. A.; De Oliveira, M.; Pardo, T. A. S.; Fortes, R. P. M.; Aluísio, S. M.

2010-12-01

This paper presents an approach for assisting low-literacy readers in accessing Web online information. The "Educational FACILITA" tool is a Web content adaptation tool that provides innovative features and follows more intuitive interaction models regarding accessibility concerns. Especially, we propose an interaction model and a Web application that explore the natural language processing tasks of lexical elaboration and named entity labeling for improving Web accessibility. We report on the results obtained from a pilot study on usability analysis carried out with low-literacy users. The preliminary results show that "Educational FACILITA" improves the comprehension of text elements, although the assistance mechanisms might also confuse users when word sense ambiguity is introduced, by gathering, for a complex word, a list of synonyms with multiple meanings. This fact evokes a future solution in which the correct sense for a complex word in a sentence is identified, solving this pervasive characteristic of natural languages. The pilot study also identified that experienced computer users find the tool to be more useful than novice computer users do.

Grammatical Constraints on Language Switching: Language Control is not Just Executive Control

PubMed Central

Gollan, Tamar H.; Goldrick, Matthew

2016-01-01

The current study investigated the roles of grammaticality and executive control on bilingual language selection by examining production speed and failures of language control, or intrusion errors (e.g., saying el instead of the), in young and aging bilinguals. Production of mixed-language connected speech was elicited by asking Spanish-English bilinguals to read aloud paragraphs that had mostly grammatical (conforming to naturally occurring constraints) or mostly ungrammatical (haphazard mixing) language switches, and low or high switching rate. Mixed-language speech was slower and less accurate when switch-rate was high, but especially (for speed) or only (for intrusion errors) if switches were also ungrammatical. Executive function ability (measured with a variety of tasks in young bilinguals in Experiment 1, and aging bilinguals in Experiment 2), slowed production and increased intrusion rate in a generalized fashion, but with little or no interaction with grammaticality. Aging effects appeared to reflect reduced monitoring ability (evidenced by a lower rate of self-corrected intrusions). These results demonstrate robust effects of grammatical encoding on language selection, and imply that executive control influences bilingual language production only after sentence planning and lexical selection. PMID:27667899

Processing structure in language and music: a case for shared reliance on cognitive control.

PubMed

Slevc, L Robert; Okada, Brooke M

2015-06-01

The relationship between structural processing in music and language has received increasing interest in the past several years, spurred by the influential Shared Syntactic Integration Resource Hypothesis (SSIRH; Patel, Nature Neuroscience, 6, 674-681, 2003). According to this resource-sharing framework, music and language rely on separable syntactic representations but recruit shared cognitive resources to integrate these representations into evolving structures. The SSIRH is supported by findings of interactions between structural manipulations in music and language. However, other recent evidence suggests that such interactions also can arise with nonstructural manipulations, and some recent neuroimaging studies report largely nonoverlapping neural regions involved in processing musical and linguistic structure. These conflicting results raise the question of exactly what shared (and distinct) resources underlie musical and linguistic structural processing. This paper suggests that one shared resource is prefrontal cortical mechanisms of cognitive control, which are recruited to detect and resolve conflict that occurs when expectations are violated and interpretations must be revised. By this account, musical processing involves not just the incremental processing and integration of musical elements as they occur, but also the incremental generation of musical predictions and expectations, which must sometimes be overridden and revised in light of evolving musical input.

The Bilingual Language Interaction Network for Comprehension of Speech*

PubMed Central

Marian, Viorica

2013-01-01

During speech comprehension, bilinguals co-activate both of their languages, resulting in cross-linguistic interaction at various levels of processing. This interaction has important consequences for both the structure of the language system and the mechanisms by which the system processes spoken language. Using computational modeling, we can examine how cross-linguistic interaction affects language processing in a controlled, simulated environment. Here we present a connectionist model of bilingual language processing, the Bilingual Language Interaction Network for Comprehension of Speech (BLINCS), wherein interconnected levels of processing are created using dynamic, self-organizing maps. BLINCS can account for a variety of psycholinguistic phenomena, including cross-linguistic interaction at and across multiple levels of processing, cognate facilitation effects, and audio-visual integration during speech comprehension. The model also provides a way to separate two languages without requiring a global language-identification system. We conclude that BLINCS serves as a promising new model of bilingual spoken language comprehension. PMID:24363602

Action languages: Dimensions, effects

NASA Technical Reports Server (NTRS)

Hayes, Daniel G.; Streeter, Gordon

1989-01-01

Dimensions of action languages are discussed for communication between humans and machines, and the message handling capabilities of object oriented programming systems are examined. Design of action languages is seen to be very contextual. Economical and effective design will depend on features of situations, the tasks intended to be accomplished, and the nature of the devices themselves. Current object oriented systems turn out to have fairly simple and straightforward message handling facilities, which in themselves do little to buffer action or even in some cases to handle competing messages. Even so, it is possible to program a certain amount of discretion about how they react to messages. Such thoughtfulness and perhaps relative autonomy of program modules seems prerequisite to future systems to handle complex interactions in changing situations.

Natural Language Processing: Toward Large-Scale, Robust Systems.

ERIC Educational Resources Information Center

Haas, Stephanie W.

1996-01-01

Natural language processing (NLP) is concerned with getting computers to do useful things with natural language. Major applications include machine translation, text generation, information retrieval, and natural language interfaces. Reviews important developments since 1987 that have led to advances in NLP; current NLP applications; and problems…

The Role of Semantics in Next-Generation Online Virtual World-Based Retail Store

NASA Astrophysics Data System (ADS)

Sharma, Geetika; Anantaram, C.; Ghosh, Hiranmay

Online virtual environments are increasingly becoming popular for entrepreneurship. While interactions are primarily between avatars, some interactions could occur through intelligent chatbots. Such interactions require connecting to backend business applications to obtain information, carry out real-world transactions etc. In this paper, we focus on integrating business application systems with virtual worlds. We discuss the probable features of a next-generation online virtual world-based retail store and the technologies involved in realizing the features of such a store. In particular, we examine the role of semantics in integrating popular virtual worlds with business applications to provide natural language based interactions.

Computational Natural Language Inference: Robust and Interpretable Question Answering

ERIC Educational Resources Information Center

Sharp, Rebecca Reynolds

2017-01-01

We address the challenging task of "computational natural language inference," by which we mean bridging two or more natural language texts while also providing an explanation of how they are connected. In the context of question answering (i.e., finding short answers to natural language questions), this inference connects the question…

TOWARDS A MULTI-SCALE AGENT-BASED PROGRAMMING LANGUAGE METHODOLOGY

PubMed Central

Somogyi, Endre; Hagar, Amit; Glazier, James A.

2017-01-01

Living tissues are dynamic, heterogeneous compositions of objects, including molecules, cells and extra-cellular materials, which interact via chemical, mechanical and electrical process and reorganize via transformation, birth, death and migration processes. Current programming language have difficulty describing the dynamics of tissues because: 1: Dynamic sets of objects participate simultaneously in multiple processes, 2: Processes may be either continuous or discrete, and their activity may be conditional, 3: Objects and processes form complex, heterogeneous relationships and structures, 4: Objects and processes may be hierarchically composed, 5: Processes may create, destroy and transform objects and processes. Some modeling languages support these concepts, but most cannot translate models into executable simulations. We present a new hybrid executable modeling language paradigm, the Continuous Concurrent Object Process Methodology (CCOPM) which naturally expresses tissue models, enabling users to visually create agent-based models of tissues, and also allows computer simulation of these models. PMID:29282379

TOWARDS A MULTI-SCALE AGENT-BASED PROGRAMMING LANGUAGE METHODOLOGY.

PubMed

Somogyi, Endre; Hagar, Amit; Glazier, James A

2016-12-01

Living tissues are dynamic, heterogeneous compositions of objects , including molecules, cells and extra-cellular materials, which interact via chemical, mechanical and electrical process and reorganize via transformation, birth, death and migration processes . Current programming language have difficulty describing the dynamics of tissues because: 1: Dynamic sets of objects participate simultaneously in multiple processes, 2: Processes may be either continuous or discrete, and their activity may be conditional, 3: Objects and processes form complex, heterogeneous relationships and structures, 4: Objects and processes may be hierarchically composed, 5: Processes may create, destroy and transform objects and processes. Some modeling languages support these concepts, but most cannot translate models into executable simulations. We present a new hybrid executable modeling language paradigm, the Continuous Concurrent Object Process Methodology ( CCOPM ) which naturally expresses tissue models, enabling users to visually create agent-based models of tissues, and also allows computer simulation of these models.

A reversed-typicality effect in pictures but not in written words in deaf and hard of hearing adolescents.

PubMed

Li, Degao; Gao, Kejuan; Wu, Xueyun; Xong, Ying; Chen, Xiaojun; He, Weiwei; Li, Ling; Huang, Jingjia

2015-01-01

Two experiments investigated Chinese deaf and hard of hearing (DHH) adolescents' recognition of category names in an innovative task of semantic categorization. In each trial, the category-name target appeared briefly at the screen center followed by two words or two pictures for two basic-level exemplars of high or middle typicality, which appeared briefly approximately where the target had appeared. Participants' reaction times when they were deciding whether the target referred to living or nonliving things consistently revealed the typicality effect for the word, but a reversed-typicality effect for picture-presented exemplars. It was found that in automatically processing a category name, DHH adolescents with natural sign language as their first language evidently activate two sets of exemplar representations: those for middle-typicality exemplars, which they develop in interactions with the physical world and in sign language uses; and those in written-language learning.

Comparing Assessments of Students' Knowledge by Computerized Open-Ended and Multiple-Choice Tests.

ERIC Educational Resources Information Center

Anbar, Michael

1991-01-01

Interactive computerized tests accepting unrestricted natural-language input were used to assess knowledge of clinical biophysics at the State University of New York at Buffalo. Comparison of responses to open-ended sequential questions and multiple-choice questions on the same material found the two formats test different aspects of competence.…

Nature of Interactions during Teacher-Student Writing Conferences, Revisiting the Potential Effects of Self-Efficacy Beliefs

ERIC Educational Resources Information Center

Bayraktar, Aysegül

2013-01-01

Problem Statement: Within Language Arts instruction the use of teacher-student writing conferences is accepted as an effective strategy for teaching writing. The writing conference allows for an individual one-on-one teacher-student conversation about the students' writing or writing process and provides the student an audience in terms of…

22 Students and 22 Teachers: Socio-Cultural Mediation in the Early Childhood Classroom

ERIC Educational Resources Information Center

Lozano, Leticia I.

2014-01-01

It is essential for teachers to provide a setting where student interaction is fostered as a mediational tool for learning, thus expediting the natural transfer of language and knowledge among students (Cummins, 1979). Doing so provides students a way of learning in an additive environment (Soltero, 2004). Could such a classroom have the potential…

The Heinz Electronic Library Interactive Online System (HELIOS): Building a Digital Archive Using Imaging, OCR, and Natural Language Processing Technologies.

ERIC Educational Resources Information Center

Galloway, Edward A.; Michalek, Gabrielle V.

1995-01-01

Discusses the conversion project of the congressional papers of Senator John Heinz into digital format and the provision of electronic access to these papers by Carnegie Mellon University. Topics include collection background, project team structure, document processing, scanning, use of optical character recognition software, verification…

SKOPE-IT (Shareable Knowledge Objects as Portable Intelligent Tutors): Overlaying Natural Language Tutoring on an Adaptive Learning System for Mathematics

ERIC Educational Resources Information Center

Nye, Benjamin D.; Pavlik, Philip I., Jr.; Windsor, Alistair; Olney, Andrew M.; Hajeer, Mustafa; Hu, Xiangen

2018-01-01

Background: This study investigated learning outcomes and user perceptions from interactions with a hybrid intelligent tutoring system created by combining the AutoTutor conversational tutoring system with the Assessment and Learning in Knowledge Spaces (ALEKS) adaptive learning system for mathematics. This hybrid intelligent tutoring system (ITS)…

Do You Think You Can? The Influence of Student Self-Efficacy on the Effectiveness of Tutorial Dialogue for Computer Science

ERIC Educational Resources Information Center

Wiggins, Joseph B.; Grafsgaard, Joseph F.; Boyer, Kristy Elizabeth; Wiebe, Eric N.; Lester, James C.

2017-01-01

In recent years, significant advances have been made in intelligent tutoring systems, and these advances hold great promise for adaptively supporting computer science (CS) learning. In particular, tutorial dialogue systems that engage students in natural language dialogue can create rich, adaptive interactions. A promising approach to increasing…

Using Concepts in Literature-based Discovery: Simulating Swanson's Raynaud-Fish Oil and Migraine-Magnesium Discoveries.

ERIC Educational Resources Information Center

Weeber, Marc; Klein, Henny; de Jong-van den Berg, Lolkje T. W.; Vos, Rein

2001-01-01

Proposes a two-step model of discovery in which new scientific hypotheses can be generated and subsequently tested. Applying advanced natural language processing techniques to find biomedical concepts in text, the model is implemented in a versatile interactive discovery support tool. This tool is used to successfully simulate Don R. Swanson's…

Adaptive Reading and Writing Instruction in iSTART and W-Pal

ERIC Educational Resources Information Center

Johnson, Amy M.; McCarthy, Kathryn S.; Kopp, Kristopher J.; Perret, Cecile A.; McNamara, Danielle S.

2017-01-01

Intelligent tutoring systems for ill-defined domains, such as reading and writing, are critically needed, yet uncommon. Two such systems, the Interactive Strategy Training for Active Reading and Thinking (iSTART) and Writing Pal (W-Pal) use natural language processing (NLP) to assess learners' written (i.e., typed) responses and provide immediate,…

A Procedure to Create a Pedagogic Conversational Agent in Secondary Physics and Chemistry Education

ERIC Educational Resources Information Center

Pérez-Marín, Diana; Boza, Antonio

2013-01-01

Pedagogic Conversational Agents are computer applications that can interact with students in natural language. They have been used with satisfactory results on the instruction of several domains. The authors believe that they could also be useful for the instruction of Secondary Physics and Chemistry Education. Therefore, in this paper, the…

Information retrieval system utilizing wavelet transform

DOE Office of Scientific and Technical Information (OSTI.GOV)

Brewster, M.E.; Miller, N.E.

A method is disclosed for automatically partitioning an unstructured electronically formatted natural language document into its sub-topic structure. Specifically, the document is converted to an electronic signal and a wavelet transform is then performed on the signal. The resultant signal may then be used to graphically display and interact with the sub-topic structure of the document.

Social Communication in Children with Autism: The Relationship Between Theory of Mind and Discourse Development

ERIC Educational Resources Information Center

Hale, Courtney M.; Tager-Flusberg, Helen

2005-01-01

This longitudinal study investigated the developmental trajectory of discourse skills and theory of mind in 57 children with autism. Children were tested at two time points spaced 1 year apart. Each year they provided a natural language sample while interacting with one parent, and were given standardized vocabulary measures and a developmentally…

Applying a visual language for image processing as a graphical teaching tool in medical imaging

NASA Astrophysics Data System (ADS)

Birchman, James J.; Tanimoto, Steven L.; Rowberg, Alan H.; Choi, Hyung-Sik; Kim, Yongmin

1992-05-01

Typical user interaction in image processing is with command line entries, pull-down menus, or text menu selections from a list, and as such is not generally graphical in nature. Although applying these interactive methods to construct more sophisticated algorithms from a series of simple image processing steps may be clear to engineers and programmers, it may not be clear to clinicians. A solution to this problem is to implement a visual programming language using visual representations to express image processing algorithms. Visual representations promote a more natural and rapid understanding of image processing algorithms by providing more visual insight into what the algorithms do than the interactive methods mentioned above can provide. Individuals accustomed to dealing with images will be more likely to understand an algorithm that is represented visually. This is especially true of referring physicians, such as surgeons in an intensive care unit. With the increasing acceptance of picture archiving and communications system (PACS) workstations and the trend toward increasing clinical use of image processing, referring physicians will need to learn more sophisticated concepts than simply image access and display. If the procedures that they perform commonly, such as window width and window level adjustment and image enhancement using unsharp masking, are depicted visually in an interactive environment, it will be easier for them to learn and apply these concepts. The software described in this paper is a visual programming language for imaging processing which has been implemented on the NeXT computer using NeXTstep user interface development tools and other tools in an object-oriented environment. The concept is based upon the description of a visual language titled `Visualization of Vision Algorithms' (VIVA). Iconic representations of simple image processing steps are placed into a workbench screen and connected together into a dataflow path by the user. As the user creates and edits a dataflow path, more complex algorithms can be built on the screen. Once the algorithm is built, it can be executed, its results can be reviewed, and operator parameters can be interactively adjusted until an optimized output is produced. The optimized algorithm can then be saved and added to the system as a new operator. This system has been evaluated as a graphical teaching tool for window width and window level adjustment, image enhancement using unsharp masking, and other techniques.

Anaphora and Logical Form: On Formal Meaning Representations for Natural Language. Technical Report No. 36.

ERIC Educational Resources Information Center

Nash-Webber, Bonnie; Reiter, Raymond

This paper describes a computational approach to certain problems of anaphora in natural language and argues in favor of formal meaning representation languages (MRLs) for natural language. After presenting arguments in favor of formal meaning representation languages, appropriate MRLs are discussed. Minimal requirements include provisions for…

Home literacy environment profiles of children with language impairment: associations with caregiver- and child-specific factors.

PubMed

Tambyraja, Sherine R; Schmitt, Mary Beth; Farquharson, Kelly; Justice, Laura M

2017-03-01

Numerous studies suggest a positive relationship between the home literacy environment (HLE) and children's language and literacy skills, yet very little research has focused on the HLE of children with language impairment (LI). Children with LI are at risk for reading difficulties; thus, understanding the nature and frequency of their home literacy interactions is warranted. To identify unique HLE profiles within a large sample of children with LI, and to determine relevant caregiver- and child-specific factors that predict children's profile membership. Participants were 195 kindergarten and first-grade children with LI who were receiving school-based language therapy. Caregivers completed a comprehensive questionnaire regarding their child's HLE, and the extent to which their child engaged in shared book reading, were taught about letters, initiated or asked to be read to, and chose to read independently. Caregivers also answered questions regarding the highest level of maternal education, caregiver history of reading difficulties, and caregiver reading habits. Children completed a language and literacy battery in the fall of their academic year. Latent profile analyses indicated a three-profile solution, representing high, average and low frequency of the selected HLE indicators. Multinomial regression further revealed that caregivers' own reading habits influenced children's profile membership, as did child age and language abilities. These results highlight the considerable variability in the frequency of home literacy interactions of children with LI. Future work examining relations between familial reading practices and literacy outcomes for children with LI is warranted. © 2016 Royal College of Speech and Language Therapists.

Symbiotic symbolization by hand and mouth in sign language*

PubMed Central

Sandler, Wendy

2010-01-01

Current conceptions of human language include a gestural component in the communicative event. However, determining how the linguistic and gestural signals are distinguished, how each is structured, and how they interact still poses a challenge for the construction of a comprehensive model of language. This study attempts to advance our understanding of these issues with evidence from sign language. The study adopts McNeill’s criteria for distinguishing gestures from the linguistically organized signal, and provides a brief description of the linguistic organization of sign languages. Focusing on the subcategory of iconic gestures, the paper shows that signers create iconic gestures with the mouth, an articulator that acts symbiotically with the hands to complement the linguistic description of objects and events. A new distinction between the mimetic replica and the iconic symbol accounts for the nature and distribution of iconic mouth gestures and distinguishes them from mimetic uses of the mouth. Symbiotic symbolization by hand and mouth is a salient feature of human language, regardless of whether the primary linguistic modality is oral or manual. Speakers gesture with their hands, and signers gesture with their mouths. PMID:20445832

Research in Knowledge Representation for Natural Language Understanding.

DTIC Science & Technology

1984-09-01

TYPE OF REPORT & PERIOO COVERED RESEARCH IN KNOWLEDGE REPRESENTATION Annual Report FOR NATURAL LANGUAGE UNDERSTANDING 9/1/83 - 8/31/84 S. PERFORMING...nhaber) Artificial intelligence, natural language understanding , knowledge representation, semantics, semantic networks, KL-TWO, NIKL, belief and...attempting to understand and react to a complex, evolving situation. This report summarizes our research in knowledge representation and natural language

The Gender Gap in Second Language Acquisition: Gender Differences in the Acquisition of Dutch among Immigrants from 88 Countries with 49 Mother Tongues.

PubMed

van der Slik, Frans W P; van Hout, Roeland W N M; Schepens, Job J

2015-01-01

Gender differences were analyzed across countries of origin and continents, and across mother tongues and language families, using a large-scale database, containing information on 27,119 adult learners of Dutch as a second language. Female learners consistently outperformed male learners in speaking and writing proficiency in Dutch as a second language. This gender gap remained remarkably robust and constant when other learner characteristics were taken into account, such as education, age of arrival, length of residence and hours studying Dutch. For reading and listening skills in Dutch, no gender gap was found. In addition, we found a general gender by education effect for all four language skills in Dutch for speaking, writing, reading, and listening. Female language learners turned out to profit more from higher educational training than male learners do in adult second language acquisition. These findings do not seem to match nurture-oriented explanatory frameworks based for instance on a human capital approach or gender-specific acculturation processes. Rather, they seem to corroborate a nature-based, gene-environment correlational framework in which language proficiency being a genetically-influenced ability interacting with environmental factors such as motivation, orientation, education, and learner strategies that still mediate between endowment and acquiring language proficiency at an adult stage.

Language Maintenance in a Multilingual Family: Informal Heritage Language Lessons in Parent-Child Interactions

ERIC Educational Resources Information Center

Kheirkhah, Mina; Cekaite, Asta

2015-01-01

The present study explores language socialization patterns in a Persian-Kurdish family in Sweden and examines how "one-parent, one-language" family language policies are instantiated and negotiated in parent-child interactions. The data consist of video-recordings and ethnographic observations of family interactions, as well as…

Ideas on Learning a New Language Intertwined with the Current State of Natural Language Processing and Computational Linguistics

ERIC Educational Resources Information Center

Snyder, Robin M.

2015-01-01

In 2014, in conjunction with doing research in natural language processing and attending a global conference on computational linguistics, the author decided to learn a new foreign language, Greek, that uses a non-English character set. This paper/session will present/discuss an overview of the current state of natural language processing and…

Early relations between language development and the quality of mother-child interaction in very-low-birth-weight children.

PubMed

Stolt, S; Korja, R; Matomäki, J; Lapinleimu, H; Haataja, L; Lehtonen, L

2014-05-01

It is not clearly understood how the quality of early mother-child interaction influences language development in very-low-birth-weight children (VLBW). We aim to analyze associations between early language and the quality of mother-child interaction, and, the predictive value of the features of early mother-child interaction on language development at 24 months of corrected age in VLBW children. A longitudinal prospective follow-up study design was used. The participants were 28 VLBW children and 34 full-term controls. Language development was measured using different methods at 6, 12 and at 24 months of age. The quality of mother-child interaction was assessed using PC-ERA method at 6 and at 12 months of age. Associations between the features of early interaction and language development were different in the groups of VLBW and full-term children. There were no significant correlations between the features of mother-child interaction and language skills when measured at the same age in the VLBW group. Significant longitudinal correlations were detected in the VLBW group especially if the quality of early interactions was measured at six months and language skills at 2 years of age. However, when the predictive value of the features of early interactions for later poor language performance was analyzed separately, the features of early interaction predicted language skills in the VLBW group only weakly. The biological factors may influence on the language development more in the VLBW children than in the full-term children. The results also underline the role of maternal and dyadic factors in early interactions. Copyright © 2014 Elsevier Ltd. All rights reserved.

Emerging Approach of Natural Language Processing in Opinion Mining: A Review

NASA Astrophysics Data System (ADS)

Kim, Tai-Hoon

Natural language processing (NLP) is a subfield of artificial intelligence and computational linguistics. It studies the problems of automated generation and understanding of natural human languages. This paper outlines a framework to use computer and natural language techniques for various levels of learners to learn foreign languages in Computer-based Learning environment. We propose some ideas for using the computer as a practical tool for learning foreign language where the most of courseware is generated automatically. We then describe how to build Computer Based Learning tools, discuss its effectiveness, and conclude with some possibilities using on-line resources.

Multiple Grammars and the Logic of Learnability in Second Language Acquisition.

PubMed

Roeper, Tom W

2016-01-01

The core notion of modern Universal Grammar is that language ability requires abstract representation in terms of hierarchy, movement operations, abstract features on words, and fixed mapping to meaning. These mental structures are a step toward integrating representational knowledge of all kinds into a larger model of cognitive psychology. Examining first and second language at once provides clues as to how abstractly we should represent this knowledge. The abstract nature of grammar allows both the formulation of many grammars and the possibility that a rule of one grammar could apply to another grammar. We argue that every language contains Multiple Grammars which may reflect different language families. We develop numerous examples of how the same abstract rules can apply in various languages and develop a theory of how language modules (case-marking, topicalization, and quantification) interact to predict L2 acquisition paths. In particular we show in depth how Germanic Verb-second operations, based on Verb-final structure, can apply in English. The argument is built around how and where V2 from German can apply in English, seeking to explain the crucial contrast: "nothing" yelled out Bill/(*)"nothing" yelled Bill out in terms of the necessary abstractness of the V2 rule.

Acquiring and processing verb argument structure: distributional learning in a miniature language.

PubMed

Wonnacott, Elizabeth; Newport, Elissa L; Tanenhaus, Michael K

2008-05-01

Adult knowledge of a language involves correctly balancing lexically-based and more language-general patterns. For example, verb argument structures may sometimes readily generalize to new verbs, yet with particular verbs may resist generalization. From the perspective of acquisition, this creates significant learnability problems, with some researchers claiming a crucial role for verb semantics in the determination of when generalization may and may not occur. Similarly, there has been debate regarding how verb-specific and more generalized constraints interact in sentence processing and on the role of semantics in this process. The current work explores these issues using artificial language learning. In three experiments using languages without semantic cues to verb distribution, we demonstrate that learners can acquire both verb-specific and verb-general patterns, based on distributional information in the linguistic input regarding each of the verbs as well as across the language as a whole. As with natural languages, these factors are shown to affect production, judgments and real-time processing. We demonstrate that learners apply a rational procedure in determining their usage of these different input statistics and conclude by suggesting that a Bayesian perspective on statistical learning may be an appropriate framework for capturing our findings.

Exploring Machine Learning Techniques Using Patient Interactions in Online Health Forums to Classify Drug Safety

ERIC Educational Resources Information Center

Chee, Brant Wah Kwong

2011-01-01

This dissertation explores the use of personal health messages collected from online message forums to predict drug safety using natural language processing and machine learning techniques. Drug safety is defined as any drug with an active safety alert from the US Food and Drug Administration (FDA). It is believed that this is the first…

IDEA: Ensenanza de romances espanoles mediante la musica y el arte (IDEA: Teaching Spanish "Romances" Through Music and Art).

ERIC Educational Resources Information Center

Garcia Glick, Beatriz

1999-01-01

Terrell's natural approach suggests that such interactive activities as music and art induce and improve student communication in language learning. Explanation of the method's steps uses the poem "Abenamar" as an example. The teacher first presents the work in historical context, then reads the work accompanied by visual aids, then…

Modelling and Bibliotherapy as Tools to Enhance Pro-Social Interactions during English Language Arts Lessons with First Graders

ERIC Educational Resources Information Center

Nguyen, Neal; Lyons, Catherine; Gelfer, Jeff; Leytham, Patrick; Nelson, Leslie; Krasch, Delilah; O'Hara, Katie

2016-01-01

Play is one of the essential components in proper development of first-grade students. Since the adoption by various states of the Common Core State Standards (CCSS), two outcomes have developed: (a) increased instructional time and (b) decreased public school recess periods across school districts. Given the complex nature of daily instructional…

Say It with Flowers! An fMRI Study of Object Mediated Communication

ERIC Educational Resources Information Center

Tylen, Kristian; Wallentin, Mikkel; Roepstorff, Andreas

2009-01-01

Human communicational interaction can be mediated by a host of expressive means from words in a natural language to gestures and material symbols. Given the proper contextual setting even an everyday object can gain a mediating function in a communicational situation. In this study we used event-related fMRI to study the brain activity caused by…

Intelligent CAI: An Author Aid for a Natural Language Interface.

ERIC Educational Resources Information Center

Burton, Richard R.; Brown, John Seely

This report addresses the problems of using natural language (English) as the communication language for advanced computer-based instructional systems. The instructional environment places requirements on a natural language understanding system that exceed the capabilities of all existing systems, including: (1) efficiency, (2) habitability, (3)…

Natural Language Processing in aid of FlyBase curators

PubMed Central

Karamanis, Nikiforos; Seal, Ruth; Lewin, Ian; McQuilton, Peter; Vlachos, Andreas; Gasperin, Caroline; Drysdale, Rachel; Briscoe, Ted

2008-01-01

Background Despite increasing interest in applying Natural Language Processing (NLP) to biomedical text, whether this technology can facilitate tasks such as database curation remains unclear. Results PaperBrowser is the first NLP-powered interface that was developed under a user-centered approach to improve the way in which FlyBase curators navigate an article. In this paper, we first discuss how observing curators at work informed the design and evaluation of PaperBrowser. Then, we present how we appraise PaperBrowser's navigational functionalities in a user-based study using a text highlighting task and evaluation criteria of Human-Computer Interaction. Our results show that PaperBrowser reduces the amount of interactions between two highlighting events and therefore improves navigational efficiency by about 58% compared to the navigational mechanism that was previously available to the curators. Moreover, PaperBrowser is shown to provide curators with enhanced navigational utility by over 74% irrespective of the different ways in which they highlight text in the article. Conclusion We show that state-of-the-art performance in certain NLP tasks such as Named Entity Recognition and Anaphora Resolution can be combined with the navigational functionalities of PaperBrowser to support curation quite successfully. PMID:18410678

Automating curation using a natural language processing pipeline

PubMed Central

Alex, Beatrice; Grover, Claire; Haddow, Barry; Kabadjov, Mijail; Klein, Ewan; Matthews, Michael; Tobin, Richard; Wang, Xinglong

2008-01-01

Background: The tasks in BioCreative II were designed to approximate some of the laborious work involved in curating biomedical research papers. The approach to these tasks taken by the University of Edinburgh team was to adapt and extend the existing natural language processing (NLP) system that we have developed as part of a commercial curation assistant. Although this paper concentrates on using NLP to assist with curation, the system can be equally employed to extract types of information from the literature that is immediately relevant to biologists in general. Results: Our system was among the highest performing on the interaction subtasks, and competitive performance on the gene mention task was achieved with minimal development effort. For the gene normalization task, a string matching technique that can be quickly applied to new domains was shown to perform close to average. Conclusion: The technologies being developed were shown to be readily adapted to the BioCreative II tasks. Although high performance may be obtained on individual tasks such as gene mention recognition and normalization, and document classification, tasks in which a number of components must be combined, such as detection and normalization of interacting protein pairs, are still challenging for NLP systems. PMID:18834488

Can Non-Interactive Language Input Benefit Young Second-Language Learners?

ERIC Educational Resources Information Center

Au, Terry Kit-fong; Chan, Winnie Wailan; Cheng, Liao; Siegel, Linda S.; Tso, Ricky Van Yip

2015-01-01

To fully acquire a language, especially its phonology, children need linguistic input from native speakers early on. When interaction with native speakers is not always possible--e.g. for children learning a second language that is not the societal language--audios are commonly used as an affordable substitute. But does such non-interactive input…

Understanding Language Learning: Review of the Application of the Interaction Model in Foreign Language Contexts

ERIC Educational Resources Information Center

Dixon, L. Quentin; Wu, Shuang

2014-01-01

Purpose: This paper examined the application of the input-interaction-output model in English-as-Foreign-Language (EFL) learning environments with four specific questions: (1) How do the three components function in the model? (2) Does interaction in the foreign language classroom seem to be effective for foreign language acquisition? (3) What…

The Multisensory Nature of Verbal Discourse in Parent-Toddler Interactions.

PubMed

Suanda, Sumarga H; Smith, Linda B; Yu, Chen

Toddlers learn object names in sensory rich contexts. Many argue that this multisensory experience facilitates learning. Here, we examine how toddlers' multisensory experience is linked to another aspect of their experience associated with better learning: the temporally extended nature of verbal discourse. We observed parent-toddler dyads as they played with, and as parents talked about, a set of objects. Analyses revealed links between the multisensory and extended nature of speech, highlighting inter-connections and redundancies in the environment. We discuss the implications of these results for our understanding of early discourse, multisensory communication, and how the learning environment shapes language development.

Consistent model driven architecture

NASA Astrophysics Data System (ADS)

Niepostyn, Stanisław J.

2015-09-01

The goal of the MDA is to produce software systems from abstract models in a way where human interaction is restricted to a minimum. These abstract models are based on the UML language. However, the semantics of UML models is defined in a natural language. Subsequently the verification of consistency of these diagrams is needed in order to identify errors in requirements at the early stage of the development process. The verification of consistency is difficult due to a semi-formal nature of UML diagrams. We propose automatic verification of consistency of the series of UML diagrams originating from abstract models implemented with our consistency rules. This Consistent Model Driven Architecture approach enables us to generate automatically complete workflow applications from consistent and complete models developed from abstract models (e.g. Business Context Diagram). Therefore, our method can be used to check practicability (feasibility) of software architecture models.

Open Source Clinical NLP - More than Any Single System.

PubMed

Masanz, James; Pakhomov, Serguei V; Xu, Hua; Wu, Stephen T; Chute, Christopher G; Liu, Hongfang

2014-01-01

The number of Natural Language Processing (NLP) tools and systems for processing clinical free-text has grown as interest and processing capability have surged. Unfortunately any two systems typically cannot simply interoperate, even when both are built upon a framework designed to facilitate the creation of pluggable components. We present two ongoing activities promoting open source clinical NLP. The Open Health Natural Language Processing (OHNLP) Consortium was originally founded to foster a collaborative community around clinical NLP, releasing UIMA-based open source software. OHNLP's mission currently includes maintaining a catalog of clinical NLP software and providing interfaces to simplify the interaction of NLP systems. Meanwhile, Apache cTAKES aims to integrate best-of-breed annotators, providing a world-class NLP system for accessing clinical information within free-text. These two activities are complementary. OHNLP promotes open source clinical NLP activities in the research community and Apache cTAKES bridges research to the health information technology (HIT) practice.

Patterns of Adult-Child Linguistic Interaction in Integrated Day Care Groups.

PubMed

Girolametto, Luigi; Hoaken, Lisa; Weitzman, Elaine; Lieshout, Riet van

2000-04-01

This study investigated the language input of eight childcare providers to children with developmental disabilities, including language delay, who were integrated into community day care centers. Structural and discourse features of the adults' language input was compared across two groups (integrated, typical) and two naturalistic day care contexts (book reading, play dough activity). The eight children with developmental disabilities and language delay were between 33-50 months of age; 32 normally developing peers ranged in age from 32-53 months of age. Adult-child interactions were transcribed and coded to yield estimates of structural indices (number of utterances, rate, mean length of utterances, ratio of different words to total words used (TTR) and discourse features (directive, interactive, language-modelling) of their language input. The language input addressed to the children with developmental disabilities was directive and not finely tuned to their expressive language levels. In turn, these children interacted infrequently with the adult or with the other children. Contextual comparisons indicated that the play dough activity promoted adult-child interaction that was less directive and more interaction-promoting than book reading, and that children interacted more frequently in the play-dough activity. Implications for speech-language pathologists include the need for collaborative consultation in integrated settings, modification of adult-child play contexts to promote interaction, and training childcare providers to use language input that promotes communication development.

Conceptual Complexity and Apparent Contradictions in Mathematics Language

ERIC Educational Resources Information Center

Gough, John

2007-01-01

Mathematics is like a language, although technically it is not a natural or informal human language, but a formal, that is, artificially constructed language. Importantly, educators use their natural everyday language to teach the formal language of mathematics. At times, however, instructors encounter problems when the technical words they use,…

GATOR: Requirements capturing of telephony features

NASA Technical Reports Server (NTRS)

Dankel, Douglas D., II; Walker, Wayne; Schmalz, Mark

1992-01-01

We are developing a natural language-based, requirements gathering system called GATOR (for the GATherer Of Requirements). GATOR assists in the development of more accurate and complete specifications of new telephony features. GATOR interacts with a feature designer who describes a new feature, set of features, or capability to be implemented. The system aids this individual in the specification process by asking for clarifications when potential ambiguities are present, by identifying potential conflicts with other existing features, and by presenting its understanding of the feature to the designer. Through user interaction with a model of the existing telephony feature set, GATOR constructs a formal representation of the new, 'to be implemented' feature. Ultimately GATOR will produce a requirements document and will maintain an internal representation of this feature to aid in future design and specification. This paper consists of three sections that describe (1) the structure of GATOR, (2) POND, GATOR's internal knowledge representation language, and (3) current research issues.

What Is a Language?

ERIC Educational Resources Information Center

Le Page, R. B.

A discussion on the nature of language argues the following: (1) the concept of a closed and finite rule system is inadequate for the description of natural languages; (2) as a consequence, the writing of variable rules to modify such rule systems so as to accommodate the properties of natural language is inappropriate; (3) the concept of such…

Expressing Biomedical Ontologies in Natural Language for Expert Evaluation.

PubMed

Amith, Muhammad; Manion, Frank J; Harris, Marcelline R; Zhang, Yaoyun; Xu, Hua; Tao, Cui

2017-01-01

We report on a study of our custom Hootation software for the purposes of assessing its ability to produce clear and accurate natural language phrases from axioms embedded in three biomedical ontologies. Using multiple domain experts and three discrete rating scales, we evaluated the tool on clarity of the natural language produced, fidelity of the natural language produced from the ontology to the axiom, and the fidelity of the domain knowledge represented by the axioms. Results show that Hootation provided relatively clear natural language equivalents for a select set of OWL axioms, although the clarity of statements hinges on the accuracy and representation of axioms in the ontology.

Emotion in languaging: languaging as affective, adaptive, and flexible behavior in social interaction

PubMed Central

Jensen, Thomas W.

2014-01-01

This article argues for a view on languaging as inherently affective. Informed by recent ecological tendencies within cognitive science and distributed language studies a distinction between first order languaging (language as whole-body sense making) and second order language (language as system like constraints) is put forward. Contrary to common assumptions within linguistics and communication studies separating language-as-a-system from language use (resulting in separations between language vs. body-language and verbal vs. non-verbal communication etc.) the first/second order distinction sees language as emanating from behavior making it possible to view emotion and affect as integral parts languaging behavior. Likewise, emotion and affect are studied, not as inner mental states, but as processes of organism-environment interactions. Based on video recordings of interaction between (1) children with special needs, and (2) couple in therapy and the therapist patterns of reciprocal influences between interactants are examined. Through analyzes of affective stance and patterns of inter-affectivity it is exemplified how language and emotion should not be seen as separate phenomena combined in language use, but rather as completely intertwined phenomena in languaging behavior constrained by second order patterns. PMID:25076921

Talk-in-Interaction: Multilingual Perspectives

ERIC Educational Resources Information Center

Nguyen, Hanh thi, Ed.; Kasper, Gabriele, Ed.

2009-01-01

"Talk-in-interaction: Multilingual perspectives" offers original studies of interaction in a range of languages and language varieties, including Chinese, English, Japanese, Korean, Spanish, Swahili, Thai, and Vietnamese; monolingual and bilingual interactions; and activities designed for second or foreign language learning. Conducted from the…

Can non-interactive language input benefit young second-language learners?

PubMed

Au, Terry Kit-Fong; Chan, Winnie Wailan; Cheng, Liao; Siegel, Linda S; Tso, Ricky Van Yip

2015-03-01

To fully acquire a language, especially its phonology, children need linguistic input from native speakers early on. When interaction with native speakers is not always possible - e.g. for children learning a second language that is not the societal language - audios are commonly used as an affordable substitute. But does such non-interactive input work? Two experiments evaluated the usefulness of audio storybooks in acquiring a more native-like second-language accent. Young children, first- and second-graders in Hong Kong whose native language was Cantonese Chinese, were given take-home listening assignments in a second language, either English or Putonghua Chinese. Accent ratings of the children's story reading revealed measurable benefits of non-interactive input from native speakers. The benefits were far more robust for Putonghua than English. Implications for second-language accent acquisition are discussed.

The Bilingual Language Interaction Network for Comprehension of Speech

ERIC Educational Resources Information Center

Shook, Anthony; Marian, Viorica

2013-01-01

During speech comprehension, bilinguals co-activate both of their languages, resulting in cross-linguistic interaction at various levels of processing. This interaction has important consequences for both the structure of the language system and the mechanisms by which the system processes spoken language. Using computational modeling, we can…

Beyond Production: Learners' Perceptions about Interactional Processes

ERIC Educational Resources Information Center

Mackey, Alison

2002-01-01

The interaction hypothesis of second language acquisition and associated work by Gass (Input, Interaction, and the Second Language Learner, Lawrence Erlbaum Associates, Publishers, Mahwah, NJ, 1997), Long (The role of the linguistic environment in second language acquisition, in: W.C. Ritchie, T.K. Bhatia (Eds.), Handbook of Language Acquisition,…

Generating and Executing Complex Natural Language Queries across Linked Data.

PubMed

Hamon, Thierry; Mougin, Fleur; Grabar, Natalia

2015-01-01

With the recent and intensive research in the biomedical area, the knowledge accumulated is disseminated through various knowledge bases. Links between these knowledge bases are needed in order to use them jointly. Linked Data, SPARQL language, and interfaces in Natural Language question-answering provide interesting solutions for querying such knowledge bases. We propose a method for translating natural language questions in SPARQL queries. We use Natural Language Processing tools, semantic resources, and the RDF triples description. The method is designed on 50 questions over 3 biomedical knowledge bases, and evaluated on 27 questions. It achieves 0.78 F-measure on the test set. The method for translating natural language questions into SPARQL queries is implemented as Perl module available at http://search.cpan.org/ thhamon/RDF-NLP-SPARQLQuery.

Moderating effects of maternal emotional availability on language and cognitive development in toddlers of mothers exposed to a natural disaster in pregnancy: The QF2011 Queensland Flood Study.

PubMed

Austin, Marie-Paule; Christl, Bettina; McMahon, Cathy; Kildea, Sue; Reilly, Nicole; Yin, Carolyn; Simcock, Gabrielle; Elgbeili, Guillaume; Laplante, David P; King, Suzanne

2017-11-01

Prenatal maternal stress exposure has been linked to sub-optimal developmental outcomes in toddlers, while maternal emotional availability is associated with better cognitive and language abilities. It is less clear whether early care-giving relationships can moderate the impact of prenatal stress on child development. The current study investigates the impact of stress during pregnancy resulting from the Queensland Floods in 2011 on toddlers' cognitive and language development, and examines how maternal emotional availability is associated with these outcomes. Data were available from 131 families. Measures of prenatal stress (objective hardship, cognitive appraisal, and three measures of maternal subjective stress) were collected within one year of the 2011 Queensland floods. Maternal emotional availability was rated from video-taped mother-child play sessions at 16 months: sensitivity (e.g., affective connection, responsiveness to signals) and structuring (e.g., scaffolding, guidance, limit-setting). The toddlers' cognitive and language development was assessed at 30 months. Interactions were tested to determine whether maternal emotional availability moderated the relationship between prenatal maternal stress and toddler cognitive and language functioning. Prenatal stress was not correlated with toddlers' cognitive and language development at 30 months. Overall, the higher the maternal structuring and sensitivity, the better the toddlers' cognitive outcomes. However, significant interactions showed that the effects of maternal structuring on toddler language abilities depended on the degree of prenatal maternal subjective stress: when maternal subjective stress was above fairly low levels, the greater the maternal structuring, the higher the child vocabulary level. The current study highlights the importance of maternal emotional availability, especially structuring, for cognitive and language development in young children. Findings suggest that toddlers exposed to higher levels of prenatal maternal stress in utero may benefit from high maternal structuring for their language development. Copyright © 2017 Elsevier Inc. All rights reserved.

Recognition of Indian Sign Language in Live Video

NASA Astrophysics Data System (ADS)

Singha, Joyeeta; Das, Karen

2013-05-01

Sign Language Recognition has emerged as one of the important area of research in Computer Vision. The difficulty faced by the researchers is that the instances of signs vary with both motion and appearance. Thus, in this paper a novel approach for recognizing various alphabets of Indian Sign Language is proposed where continuous video sequences of the signs have been considered. The proposed system comprises of three stages: Preprocessing stage, Feature Extraction and Classification. Preprocessing stage includes skin filtering, histogram matching. Eigen values and Eigen Vectors were considered for feature extraction stage and finally Eigen value weighted Euclidean distance is used to recognize the sign. It deals with bare hands, thus allowing the user to interact with the system in natural way. We have considered 24 different alphabets in the video sequences and attained a success rate of 96.25%.

Quality of caregiver-child play interactions with toddlers born preterm and full term: Antecedents and language outcome.

PubMed

Loi, Elizabeth C; Vaca, Kelsey E C; Ashland, Melanie D; Marchman, Virginia A; Fernald, Anne; Feldman, Heidi M

2017-12-01

Preterm birth may leave long-term effects on the interactions between caregivers and children. Language skills are sensitive to the quality of caregiver-child interactions. Compare the quality of caregiver-child play interactions in toddlers born preterm (PT) and full term (FT) at age 22months (corrected for degree of prematurity) and evaluate the degree of association between caregiver-child interactions, antecedent demographic and language factors, and subsequent language skill. A longitudinal descriptive cohort study. 39 PT and 39 FT toddlers individually matched on sex and socioeconomic status (SES). The outcome measures were dimensions of caregiver-child interactions, rated from a videotaped play session at age 22months in relation to receptive language assessments at ages 18 and 36months. Caregiver intrusiveness was greater in the PT than FT group. A composite score of child interactional behaviors was associated with a composite score of caregiver interactional behaviors. The caregiver composite measure was associated with later receptive vocabulary at 36months. PT-FT group membership did not moderate the association between caregiver interactional behavior and later receptive vocabulary. The quality of caregiver interactional behavior had similar associations with concurrent child interactional behavior and subsequent language outcome in the PT and FT groups. Greater caregiver sensitivity/responsiveness, verbal elaboration, and less intrusiveness support receptive language development in typically developing toddlers and toddlers at risk for language difficulty. Copyright © 2017 Elsevier B.V. All rights reserved.

An experimental-computational platform for investigating microbial interactions and dynamics in communities with two codependent species

NASA Astrophysics Data System (ADS)

Fuentes-Cabrera, Miguel; Anderson, John D.; Wilmoth, Jared; Ginovart, Marta; Prats, Clara; Portell-Canal, Xavier; Retterer, Scott

Microbial interactions are critical for governing community behavior and structure in natural environments. Examination of microbial interactions in the lab involves growth under ideal conditions in batch culture; conditions that occur in nature are, however, characterized by disequilibrium. Of particular interest is the role that system variables play in shaping cell-to-cell interactions and organization at ultrafine spatial scales. We seek to use experiments and agent-based modeling to help discover mechanisms relevant to microbial dynamics and interactions in the environment. Currently, we are using an agent-based model to simulate microbial growth, dynamics and interactions that occur on a microwell-array device developed in our lab. Bacterial cells growing in the microwells of this platform can be studied with high-throughput and high-content image analyses using brightfield and fluorescence microscopy. The agent-based model is written in the language Netlogo, which in turn is ''plugged into'' a computational framework that allows submitting many calculations in parallel for different initial parameters; visualizing the outcomes in an interactive phase-like diagram; and searching, with a genetic algorithm, for the parameters that lead to the most optimal simulation outcome.

Maternal communicative behaviours and interaction quality as predictors of language development: findings from a community-based study of slow-to-talk toddlers.

PubMed

Conway, Laura J; Levickis, Penny A; Smith, Jodie; Mensah, Fiona; Wake, Melissa; Reilly, Sheena

2018-03-01

Identifying risk and protective factors for language development informs interventions for children with developmental language disorder (DLD). Maternal responsive and intrusive communicative behaviours are associated with language development. Mother-child interaction quality may influence how children use these behaviours in language learning. To identify (1) communicative behaviours and interaction quality associated with language outcomes; (2) whether the association between a maternal intrusive behaviour (directive) and child language scores changed alongside a maternal responsive behaviour (expansion); and (3) whether interaction quality modified these associations. Language skills were assessed at 24, 36 and 48 months in 197 community-recruited children who were slow to talk at 18 months. Mothers and 24-month-olds were video-recorded playing at home. Maternal praise, missed opportunities, and successful and unsuccessful directives (i.e., whether followed by the child) were coded during a 10-min segment. Interaction quality was rated using a seven-point fluency and connectedness (FC) scale, during a 5-min segment. Linear regressions examined associations between these behaviours/rating and language scores. Interaction analysis and simple slopes explored effect modification by FC. There was no evidence that missed opportunities or praise were associated with language scores. Higher rates of successful directives in the unadjusted model and unsuccessful directives in the adjusted model were associated with lower 24-month-old receptive language scores (e.g., unsuccessful directives effect size (ES) = -0.41). The association between unsuccessful directives and receptive language was weaker when adjusting for co-occurring expansions (ES = -0.34). Both types of directives were associated with poorer receptive and expressive language scores in adjusted models at 36 and 48 months (e.g., unsuccessful directive and 48-month receptive language, ES = -0.66). FC was positively associated with 24-, 36- and 48-month language scores in adjusted models (e.g., receptive language at 24 months, ES = 0.21, at 48 months, ES = 0.18). Interaction analysis showed the negative association between successful directives and 24-month receptive language existed primarily in poorly connected dyads with low FC levels. These findings illustrate the effects of the combined interaction between different maternal communicative behaviours and features of the interaction itself on child language development, and the need to consider both in research and practice. Whilst more intrusive directives were associated with poorer language scores, this association attenuated when adjusting for co-occurring responsive expansions, and the association was strongest for children in lower quality interactions. This work may inform clinical practice by helping clinicians target the most appropriate communicative behaviours for specific mother-child dyads. © 2017 Royal College of Speech and Language Therapists.

Do Modification and Interaction Work?--A Critical Review of Literature on the Role of Foreigner Talk in Second Language Acquisition

ERIC Educational Resources Information Center

Dela Rosa, John Paul O.; Arguelles, Diana C.

2016-01-01

This critical review of literature provides a detailed description of foreigner talk as a simplified register and critically discusses findings entrenched in studies done about this SLA issue. The studies cited are classified as researches concerning foreigner talk that occurs in both natural and classroom settings. Based on the critical review,…

Understanding On-Screen Reading Behaviors in Academic Contexts: A Case Study of Five Graduate English-as-a-Second-Language Students

ERIC Educational Resources Information Center

Chou, I-Chia

2012-01-01

Undoubtedly, new areas of functionality for electronic texts will come to the fore and create new reading habits and expectations for dealing and interacting with text as electronic texts become dominant in the academic world. These new forms of reading will gradually become as natural as the different activities readers now take for granted, such…

A grammar-based semantic similarity algorithm for natural language sentences.

PubMed

Lee, Ming Che; Chang, Jia Wei; Hsieh, Tung Cheng

2014-01-01

This paper presents a grammar and semantic corpus based similarity algorithm for natural language sentences. Natural language, in opposition to "artificial language", such as computer programming languages, is the language used by the general public for daily communication. Traditional information retrieval approaches, such as vector models, LSA, HAL, or even the ontology-based approaches that extend to include concept similarity comparison instead of cooccurrence terms/words, may not always determine the perfect matching while there is no obvious relation or concept overlap between two natural language sentences. This paper proposes a sentence similarity algorithm that takes advantage of corpus-based ontology and grammatical rules to overcome the addressed problems. Experiments on two famous benchmarks demonstrate that the proposed algorithm has a significant performance improvement in sentences/short-texts with arbitrary syntax and structure.

Do neural nets learn statistical laws behind natural language?

PubMed

Takahashi, Shuntaro; Tanaka-Ishii, Kumiko

2017-01-01

The performance of deep learning in natural language processing has been spectacular, but the reasons for this success remain unclear because of the inherent complexity of deep learning. This paper provides empirical evidence of its effectiveness and of a limitation of neural networks for language engineering. Precisely, we demonstrate that a neural language model based on long short-term memory (LSTM) effectively reproduces Zipf's law and Heaps' law, two representative statistical properties underlying natural language. We discuss the quality of reproducibility and the emergence of Zipf's law and Heaps' law as training progresses. We also point out that the neural language model has a limitation in reproducing long-range correlation, another statistical property of natural language. This understanding could provide a direction for improving the architectures of neural networks.

Do neural nets learn statistical laws behind natural language?

PubMed Central

Takahashi, Shuntaro

2017-01-01

The performance of deep learning in natural language processing has been spectacular, but the reasons for this success remain unclear because of the inherent complexity of deep learning. This paper provides empirical evidence of its effectiveness and of a limitation of neural networks for language engineering. Precisely, we demonstrate that a neural language model based on long short-term memory (LSTM) effectively reproduces Zipf’s law and Heaps’ law, two representative statistical properties underlying natural language. We discuss the quality of reproducibility and the emergence of Zipf’s law and Heaps’ law as training progresses. We also point out that the neural language model has a limitation in reproducing long-range correlation, another statistical property of natural language. This understanding could provide a direction for improving the architectures of neural networks. PMID:29287076

Automatic Item Generation via Frame Semantics: Natural Language Generation of Math Word Problems.

ERIC Educational Resources Information Center

Deane, Paul; Sheehan, Kathleen

This paper is an exploration of the conceptual issues that have arisen in the course of building a natural language generation (NLG) system for automatic test item generation. While natural language processing techniques are applicable to general verbal items, mathematics word problems are particularly tractable targets for natural language…

A Computational Model of Linguistic Humor in Puns.

PubMed

Kao, Justine T; Levy, Roger; Goodman, Noah D

2016-07-01

Humor plays an essential role in human interactions. Precisely what makes something funny, however, remains elusive. While research on natural language understanding has made significant advancements in recent years, there has been little direct integration of humor research with computational models of language understanding. In this paper, we propose two information-theoretic measures-ambiguity and distinctiveness-derived from a simple model of sentence processing. We test these measures on a set of puns and regular sentences and show that they correlate significantly with human judgments of funniness. Moreover, within a set of puns, the distinctiveness measure distinguishes exceptionally funny puns from mediocre ones. Our work is the first, to our knowledge, to integrate a computational model of general language understanding and humor theory to quantitatively predict humor at a fine-grained level. We present it as an example of a framework for applying models of language processing to understand higher level linguistic and cognitive phenomena. © 2015 The Authors. Cognitive Science published by Wiley Periodicals, Inc. on behalf of Cognitive Science Society.

A Cultural Diffusion Model for the Rise and Fall of Programming Languages.

PubMed

Valverde, Sergi; Solé, Ricard V

2015-07-01

Our interaction with complex computing machines is mediated by programming languages (PLs), which constitute one of the major innovations in the evolution of technology. PLs allow flexible, scalable, and fast use of hardware and are largely responsible for shaping the history of information technology since the rise of computers in the 1950s. The rapid growth and impact of computers were followed closely by the development of PLs. As occurs with natural, human languages, PLs have emerged and gone extinct. There has been always a diversity of coexisting PLs that compete somewhat while occupying special niches. Here we show that the statistical patterns of language adoption, rise, and fall can be accounted for by a simple model in which a set of programmers can use several PLs, decide to use existing PLs used by other programmers, or decide not to use them. Our results highlight the influence of strong communities of practice in the diffusion of PL innovations.

Keep meaning in conversational coordination

PubMed Central

Cuffari, Elena C.

2014-01-01

Coordination is a widely employed term across recent quantitative and qualitative approaches to intersubjectivity, particularly approaches that give embodiment and enaction central explanatory roles. With a focus on linguistic and bodily coordination in conversational contexts, I review the operational meaning of coordination in recent empirical research and related theorizing of embodied intersubjectivity. This discussion articulates what must be involved in treating linguistic meaning as dynamic processes of coordination. The coordination approach presents languaging as a set of dynamic self-organizing processes and actions on multiple timescales and across multiple modalities that come about and work in certain domains (those jointly constructed in social, interactive, high-order sense-making). These processes go beyond meaning at the level that is available to first-person experience. I take one crucial consequence of this to be the ubiquitously moral nature of languaging with others. Languaging coordinates experience, among other levels of behavior and event. Ethical effort is called for by the automatic autonomy-influencing forces of languaging as coordination. PMID:25520693

Interaction as Method and Result of Language Learning

ERIC Educational Resources Information Center

Hall, Joan Kelly

2010-01-01

The premise of this paper is that the interactional practices constituting teacher-student interaction and language learning are interdependent in that the substance of learners' language knowledge is inextricably tied to their extended involvement in the regularly occurring interactional practices constituting their specific contexts of learning.…

The Gender Gap in Second Language Acquisition: Gender Differences in the Acquisition of Dutch among Immigrants from 88 Countries with 49 Mother Tongues

PubMed Central

van der Slik, Frans W. P.; van Hout, Roeland W. N. M.; Schepens, Job J.

2015-01-01

Gender differences were analyzed across countries of origin and continents, and across mother tongues and language families, using a large-scale database, containing information on 27,119 adult learners of Dutch as a second language. Female learners consistently outperformed male learners in speaking and writing proficiency in Dutch as a second language. This gender gap remained remarkably robust and constant when other learner characteristics were taken into account, such as education, age of arrival, length of residence and hours studying Dutch. For reading and listening skills in Dutch, no gender gap was found. In addition, we found a general gender by education effect for all four language skills in Dutch for speaking, writing, reading, and listening. Female language learners turned out to profit more from higher educational training than male learners do in adult second language acquisition. These findings do not seem to match nurture-oriented explanatory frameworks based for instance on a human capital approach or gender-specific acculturation processes. Rather, they seem to corroborate a nature-based, gene-environment correlational framework in which language proficiency being a genetically-influenced ability interacting with environmental factors such as motivation, orientation, education, and learner strategies that still mediate between endowment and acquiring language proficiency at an adult stage. PMID:26540465

New Ways to Learn a Foreign Language.

ERIC Educational Resources Information Center

Hall, Robert A., Jr.

This text focuses on the nature of language learning in the light of modern linguistic analysis. Common linguistic problems encountered by students of eight major languages are examined--Latin, Greek, French, Spanish, Portuguese, Italian, German, and Russian. The text discusses the nature of language, building new language habits, overcoming…

Cross-Modal Recruitment of Auditory and Orofacial Areas During Sign Language in a Deaf Subject.

PubMed

Martino, Juan; Velasquez, Carlos; Vázquez-Bourgon, Javier; de Lucas, Enrique Marco; Gomez, Elsa

2017-09-01

Modern sign languages used by deaf people are fully expressive, natural human languages that are perceived visually and produced manually. The literature contains little data concerning human brain organization in conditions of deficient sensory information such as deafness. A deaf-mute patient underwent surgery of a left temporoinsular low-grade glioma. The patient underwent awake surgery with intraoperative electrical stimulation mapping, allowing direct study of the cortical and subcortical organization of sign language. We found a similar distribution of language sites to what has been reported in mapping studies of patients with oral language, including 1) speech perception areas inducing anomias and alexias close to the auditory cortex (at the posterior portion of the superior temporal gyrus and supramarginal gyrus); 2) speech production areas inducing speech arrest (anarthria) at the ventral premotor cortex, close to the lip motor area and away from the hand motor area; and 3) subcortical stimulation-induced semantic paraphasias at the inferior fronto-occipital fasciculus at the temporal isthmus. The intraoperative setup for sign language mapping with intraoperative electrical stimulation in deaf-mute patients is similar to the setup described in patients with oral language. To elucidate the type of language errors, a sign language interpreter in close interaction with the neuropsychologist is necessary. Sign language is perceived visually and produced manually; however, this case revealed a cross-modal recruitment of auditory and orofacial motor areas. Copyright © 2017 Elsevier Inc. All rights reserved.

Applying language technology to nursing documents: pros and cons with a focus on ethics.

PubMed

Suominen, Hanna; Lehtikunnas, Tuija; Back, Barbro; Karsten, Helena; Salakoski, Tapio; Salanterä, Sanna

2007-10-01

The present study discusses ethics in building and using applications based on natural language processing in electronic nursing documentation. Specifically, we first focus on the question of how patient confidentiality can be ensured in developing language technology for the nursing documentation domain. Then, we identify and theoretically analyze the ethical outcomes which arise when using natural language processing to support clinical judgement and decision-making. In total, we put forward and justify 10 claims related to ethics in applying language technology to nursing documents. A review of recent scientific articles related to ethics in electronic patient records or in the utilization of large databases was conducted. Then, the results were compared with ethical guidelines for nurses and the Finnish legislation covering health care and processing of personal data. Finally, the practical experiences of the authors in applying the methods of natural language processing to nursing documents were appended. Patient records supplemented with natural language processing capabilities may help nurses give better, more efficient and more individualized care for their patients. In addition, language technology may facilitate patients' possibility to receive truthful information about their health and improve the nature of narratives. Because of these benefits, research about the use of language technology in narratives should be encouraged. In contrast, privacy-sensitive health care documentation brings specific ethical concerns and difficulties to the natural language processing of nursing documents. Therefore, when developing natural language processing tools, patient confidentiality must be ensured. While using the tools, health care personnel should always be responsible for the clinical judgement and decision-making. One should also consider that the use of language technology in nursing narratives may threaten patients' rights by using documentation collected for other purposes. Applying language technology to nursing documents may, on the one hand, contribute to the quality of care, but, on the other hand, threaten patient confidentiality. As an overall conclusion, natural language processing of nursing documents holds the promise of great benefits if the potential risks are taken into consideration.

Production and comprehension show divergent constituent order preferences: Evidence from elicited pantomime

PubMed Central

Hall, Matthew L.; Ahn, Y. Danbi; Mayberry, Rachel I.; Ferreira, Victor S.

2015-01-01

All natural languages develop devices to communicate who did what to whom. Elicited pantomime provides one model for studying this process, by providing a window into how humans (hearing non-signers) behave in a natural communicative modality (silent gesture) without established conventions from a grammar. Most studies in this paradigm focus on production, although they sometimes make assumptions about how comprehenders would likely behave. Here, we directly assess how naïve speakers of English (Experiments 1 & 2), Korean (Experiment 1), and Turkish (Experiment 2) comprehend pantomimed descriptions of transitive events, which are either semantically reversible (Experiments 1 & 2) or not (Experiment 2). Contrary to previous assumptions, we find no evidence that Person-Person-Action sequences are ambiguous to comprehenders, who simply adopt an agent-first parsing heuristic for all constituent orders. We do find that Person-Action-Person sequences yield the most consistent interpretations, even in native speakers of SOV languages. The full range of behavior in both production and comprehension provides counter-evidence to the notion that producers’ utterances are motivated by the needs of comprehenders. Instead, we argue that production and comprehension are subject to different sets of cognitive pressures, and that the dynamic interaction between these competing pressures can help explain synchronic and diachronic constituent order phenomena in natural human languages, both signed and spoken. PMID:25642018

A Natural Language Interface Concordant with a Knowledge Base.

PubMed

Han, Yong-Jin; Park, Seong-Bae; Park, Se-Young

2016-01-01

The discordance between expressions interpretable by a natural language interface (NLI) system and those answerable by a knowledge base is a critical problem in the field of NLIs. In order to solve this discordance problem, this paper proposes a method to translate natural language questions into formal queries that can be generated from a graph-based knowledge base. The proposed method considers a subgraph of a knowledge base as a formal query. Thus, all formal queries corresponding to a concept or a predicate in the knowledge base can be generated prior to query time and all possible natural language expressions corresponding to each formal query can also be collected in advance. A natural language expression has a one-to-one mapping with a formal query. Hence, a natural language question is translated into a formal query by matching the question with the most appropriate natural language expression. If the confidence of this matching is not sufficiently high the proposed method rejects the question and does not answer it. Multipredicate queries are processed by regarding them as a set of collected expressions. The experimental results show that the proposed method thoroughly handles answerable questions from the knowledge base and rejects unanswerable ones effectively.

Teacher-Student Interaction and Learning.

ERIC Educational Resources Information Center

Hall, Joan Kelly; Walsh, Meghan

2002-01-01

Reviews literature on recent developments in teacher-student interaction and language learning. Based on a sociocultural perspective of language and learning, draws from three types of classrooms: first language, second language, and foreign language. Attention is given to studies that investigate the specific means used in teacher-student…

Teaching Chemistry for All Its Worth: The Interaction Between Facts, Ideas, and Language in Lavoisier's and Priestley's Chemistry Practice: The Case of the Study of the Composition of Air

NASA Astrophysics Data System (ADS)

de Berg, Kevin

2014-10-01

Both Lavoisier and Priestley were committed to the role of experiment and observation in their chemistry practice. According to Lavoisier the physical sciences embody three important ingredients; facts, ideas, and language, and Priestley would not have disagreed with this. Ideas had to be consistent with the facts generated from experiment and observation and language needed to be precise and reflect the known chemistry of substances. While Priestley was comfortable with a moderate amount of hypothesis making, Lavoisier had no time for what he termed theoretical speculation about the fundamental nature of matter and avoided the use of the atomic hypothesis and Aristotle's elements in his Elements of Chemistry. In the preface to this famous work he claims he has good educational reasons for this position. While Priestley and Lavoisier used similar kinds of apparatus in their chemistry practice, they came to their task with completely different worldviews as regards the nature of chemical reactivity. This paper examines these worldviews as practiced in the famous experiment on the composition of air and the implications of this for chemistry education are considered.

Neurolinguistics and psycholinguistics as a basis for computer acquisition of natural language

DOE Office of Scientific and Technical Information (OSTI.GOV)

Powers, D.M.W.

1983-04-01

Research into natural language understanding systems for computers has concentrated on implementing particular grammars and grammatical models of the language concerned. This paper presents a rationale for research into natural language understanding systems based on neurological and psychological principles. Important features of the approach are that it seeks to place the onus of learning the language on the computer, and that it seeks to make use of the vast wealth of relevant psycholinguistic and neurolinguistic theory. 22 references.

Natural language interface for command and control

NASA Technical Reports Server (NTRS)

Shuler, Robert L., Jr.

1986-01-01

A working prototype of a flexible 'natural language' interface for command and control situations is presented. This prototype is analyzed from two standpoints. First is the role of natural language for command and control, its realistic requirements, and how well the role can be filled with current practical technology. Second, technical concepts for implementation are discussed and illustrated by their application in the prototype system. It is also shown how adaptive or 'learning' features can greatly ease the task of encoding language knowledge in the language processor.

Multiple Grammars and the Logic of Learnability in Second Language Acquisition

PubMed Central

Roeper, Tom W.

2016-01-01

The core notion of modern Universal Grammar is that language ability requires abstract representation in terms of hierarchy, movement operations, abstract features on words, and fixed mapping to meaning. These mental structures are a step toward integrating representational knowledge of all kinds into a larger model of cognitive psychology. Examining first and second language at once provides clues as to how abstractly we should represent this knowledge. The abstract nature of grammar allows both the formulation of many grammars and the possibility that a rule of one grammar could apply to another grammar. We argue that every language contains Multiple Grammars which may reflect different language families. We develop numerous examples of how the same abstract rules can apply in various languages and develop a theory of how language modules (case-marking, topicalization, and quantification) interact to predict L2 acquisition paths. In particular we show in depth how Germanic Verb-second operations, based on Verb-final structure, can apply in English. The argument is built around how and where V2 from German can apply in English, seeking to explain the crucial contrast: “nothing” yelled out Bill/*“nothing” yelled Bill out in terms of the necessary abstractness of the V2 rule. PMID:26869945

Preliminary evidence that androgen signaling is correlated with men's everyday language.

PubMed

Mascaro, Jennifer S; Rentscher, Kelly E; Hackett, Patrick D; Lori, Adriana; Darcher, Alana; Rilling, James K; Mehl, Matthias R

2018-05-11

Testosterone (T) has an integral, albeit complex, relationship with social behavior, especially in the domains of aggression and competition. However, examining this relationship in humans is challenging given the often covert and subtle nature of human aggression and status-seeking. The present study aimed to investigate whether T levels and genetic polymorphisms in the AR gene are associated with social behavior assessed via natural language use. We used unobtrusive, behavioral, real-world ambulatory assessments of men in partnered heterosexual relationships to examine the relationship between plasma T levels, variation in the androgen receptor (AR) gene, and spontaneous, everyday language in three interpersonal contexts: with romantic partners, with co-workers, and with their children. Men's T levels were positively correlated with their use of achievement words with their children, and the number of AR CAG trinucleotide repeats was inversely correlated with their use of anger and reward words with their children. T levels were positively correlated with sexual language and with use of swear words in the presence of their partner, but not in the presence of co-workers or children. Together, these results suggest that T may influence social behavior by increasing the frequency of words related to aggression, sexuality, and status, and that it may alter the quality of interactions with an intimate partner by amplifying emotions via swearing. © 2018 Wiley Periodicals, Inc.

Discourse Understanding. Technical Report No. 391.

ERIC Educational Resources Information Center

Scha, R. J. H.; And Others

Artificial intelligence research on natural language understanding is discussed in this report using the notions that (1) natural language understanding systems must "see" sentences as elements whose significance resides in the contribution they make to the larger whole, and (2) a natural language understanding computer system must…

The Impact of Early Social Interactions on Later Language Development in Spanish-English Bilingual Infants

ERIC Educational Resources Information Center

Ramírez-Esparza, Nairán; García-Sierra, Adrián; Kuhl, Patricia K.

2017-01-01

This study tested the impact of child-directed language input on language development in Spanish-English bilingual infants (N = 25, 11- and 14-month-olds from the Seattle metropolitan area), across languages and independently for each language, controlling for socioeconomic status. Language input was characterized by social interaction variables,…

Modeling Coevolution between Language and Memory Capacity during Language Origin

PubMed Central

Gong, Tao; Shuai, Lan

2015-01-01

Memory is essential to many cognitive tasks including language. Apart from empirical studies of memory effects on language acquisition and use, there lack sufficient evolutionary explorations on whether a high level of memory capacity is prerequisite for language and whether language origin could influence memory capacity. In line with evolutionary theories that natural selection refined language-related cognitive abilities, we advocated a coevolution scenario between language and memory capacity, which incorporated the genetic transmission of individual memory capacity, cultural transmission of idiolects, and natural and cultural selections on individual reproduction and language teaching. To illustrate the coevolution dynamics, we adopted a multi-agent computational model simulating the emergence of lexical items and simple syntax through iterated communications. Simulations showed that: along with the origin of a communal language, an initially-low memory capacity for acquired linguistic knowledge was boosted; and such coherent increase in linguistic understandability and memory capacities reflected a language-memory coevolution; and such coevolution stopped till memory capacities became sufficient for language communications. Statistical analyses revealed that the coevolution was realized mainly by natural selection based on individual communicative success in cultural transmissions. This work elaborated the biology-culture parallelism of language evolution, demonstrated the driving force of culturally-constituted factors for natural selection of individual cognitive abilities, and suggested that the degree difference in language-related cognitive abilities between humans and nonhuman animals could result from a coevolution with language. PMID:26544876

Modeling Coevolution between Language and Memory Capacity during Language Origin.

PubMed

Gong, Tao; Shuai, Lan

2015-01-01

Memory is essential to many cognitive tasks including language. Apart from empirical studies of memory effects on language acquisition and use, there lack sufficient evolutionary explorations on whether a high level of memory capacity is prerequisite for language and whether language origin could influence memory capacity. In line with evolutionary theories that natural selection refined language-related cognitive abilities, we advocated a coevolution scenario between language and memory capacity, which incorporated the genetic transmission of individual memory capacity, cultural transmission of idiolects, and natural and cultural selections on individual reproduction and language teaching. To illustrate the coevolution dynamics, we adopted a multi-agent computational model simulating the emergence of lexical items and simple syntax through iterated communications. Simulations showed that: along with the origin of a communal language, an initially-low memory capacity for acquired linguistic knowledge was boosted; and such coherent increase in linguistic understandability and memory capacities reflected a language-memory coevolution; and such coevolution stopped till memory capacities became sufficient for language communications. Statistical analyses revealed that the coevolution was realized mainly by natural selection based on individual communicative success in cultural transmissions. This work elaborated the biology-culture parallelism of language evolution, demonstrated the driving force of culturally-constituted factors for natural selection of individual cognitive abilities, and suggested that the degree difference in language-related cognitive abilities between humans and nonhuman animals could result from a coevolution with language.

Turkish Mothers' Self-Efficacy Beliefs and Styles of Interactions with Their Children with Language Delays

ERIC Educational Resources Information Center

Diken, Ibrahim H.

2009-01-01

Turkish mothers' self-efficacy beliefs and their interactional behaviors with their children with language delays are described and explored. Participants included 19 mother-child dyads. Mothers' interaction with their children with language delays was videotaped for 30 minutes in a free-play context. Regarding mothers' interactional behaviors,…

Speech motor development: Integrating muscles, movements, and linguistic units.

PubMed

Smith, Anne

2006-01-01

A fundamental problem for those interested in human communication is to determine how ideas and the various units of language structure are communicated through speaking. The physiological concepts involved in the control of muscle contraction and movement are theoretically distant from the processing levels and units postulated to exist in language production models. A review of the literature on adult speakers suggests that they engage complex, parallel processes involving many units, including sentence, phrase, syllable, and phoneme levels. Infants must develop multilayered interactions among language and motor systems. This discussion describes recent studies of speech motor performance relative to varying linguistic goals during the childhood, teenage, and young adult years. Studies of the developing interactions between speech motor and language systems reveal both qualitative and quantitative differences between the developing and the mature systems. These studies provide an experimental basis for a more comprehensive theoretical account of how mappings between units of language and units of action are formed and how they function. Readers will be able to: (1) understand the theoretical differences between models of speech motor control and models of language processing, as well as the nature of the concepts used in the two different kinds of models, (2) explain the concept of coarticulation and state why this phenomenon has confounded attempts to determine the role of linguistic units, such as syllables and phonemes, in speech production, (3) describe the development of speech motor performance skills and specify quantitative and qualitative differences between speech motor performance in children and adults, and (4) describe experimental methods that allow scientists to study speech and limb motor control, as well as compare units of action used to study non-speech and speech movements.

An innovative multimodal virtual platform for communication with devices in a natural way

NASA Astrophysics Data System (ADS)

Kinkar, Chhayarani R.; Golash, Richa; Upadhyay, Akhilesh R.

2012-03-01

As technology grows people are diverted and are more interested in communicating with machine or computer naturally. This will make machine more compact and portable by avoiding remote, keyboard etc. also it will help them to live in an environment free from electromagnetic waves. This thought has made 'recognition of natural modality in human computer interaction' a most appealing and promising research field. Simultaneously it has been observed that using single mode of interaction limit the complete utilization of commands as well as data flow. In this paper a multimodal platform, where out of many natural modalities like eye gaze, speech, voice, face etc. human gestures are combined with human voice is proposed which will minimize the mean square error. This will loosen the strict environment needed for accurate and robust interaction while using single mode. Gesture complement Speech, gestures are ideal for direct object manipulation and natural language is used for descriptive tasks. Human computer interaction basically requires two broad sections recognition and interpretation. Recognition and interpretation of natural modality in complex binary instruction is a tough task as it integrate real world to virtual environment. The main idea of the paper is to develop a efficient model for data fusion coming from heterogeneous sensors, camera and microphone. Through this paper we have analyzed that the efficiency is increased if heterogeneous data (image & voice) is combined at feature level using artificial intelligence. The long term goal of this paper is to design a robust system for physically not able or having less technical knowledge.

Research on Interactive Acquisition and Use of Knowledge.

DTIC Science & Technology

1983-11-01

complex and challenging endeavor. Computer scientists faced with the problem of managing software complexity have de - veloped strict design disciplines...handle most-indeed, probably all-- phenomena in the syntax and semantics of natural language. It has also turned out to be well suited for the classes of...Semantics The previous grammar performs a de facto coordination of syntax and semantics by requiring that the (syntactically) preverbal NP play the

"If We Know about Culture It Will Be Easier to Work with One Another": Developing Skills for Handling Corporate Meetings with Multinational Participation

ERIC Educational Resources Information Center

Angouri, Jo

2010-01-01

The current international nature of socio-economic activities is reshaping workplace settings and creating the need for large numbers of employees to perform successful communicative acts with a wider range of interactants than in the past, often using a language other than their mother tongue. Against this backdrop much emphasis has been placed…

Presentation planning using an integrated knowledge base

NASA Technical Reports Server (NTRS)

Arens, Yigal; Miller, Lawrence; Sondheimer, Norman

1988-01-01

A description is given of user interface research aimed at bringing together multiple input and output modes in a way that handles mixed mode input (commands, menus, forms, natural language), interacts with a diverse collection of underlying software utilities in a uniform way, and presents the results through a combination of output modes including natural language text, maps, charts and graphs. The system, Integrated Interfaces, derives much of its ability to interact uniformly with the user and the underlying services and to build its presentations, from the information present in a central knowledge base. This knowledge base integrates models of the application domain (Navy ships in the Pacific region, in the current demonstration version); the structure of visual displays and their graphical features; the underlying services (data bases and expert systems); and interface functions. The emphasis is on a presentation planner that uses the knowledge base to produce multi-modal output. There has been a flurry of recent work in user interface management systems. (Several recent examples are listed in the references). Existing work is characterized by an attempt to relieve the software designer of the burden of handcrafting an interface for each application. The work has generally focused on intelligently handling input. This paper deals with the other end of the pipeline - presentations.

Adjustable impedance, force feedback and command language aids for telerobotics (parts 1-4 of an 8-part MIT progress report)

NASA Technical Reports Server (NTRS)

Sheridan, Thomas B.; Raju, G. Jagganath; Buzan, Forrest T.; Yared, Wael; Park, Jong

1989-01-01

Projects recently completed or in progress at MIT Man-Machine Systems Laboratory are summarized. (1) A 2-part impedance network model of a single degree of freedom remote manipulation system is presented in which a human operator at the master port interacts with a task object at the slave port in a remote location is presented. (2) The extension of the predictor concept to include force feedback and dynamic modeling of the manipulator and the environment is addressed. (3) A system was constructed to infer intent from the operator's commands and the teleoperation context, and generalize this information to interpret future commands. (4) A command language system is being designed that is robust, easy to learn, and has more natural man-machine communication. A general telerobot problem selected as an important command language context is finding a collision-free path for a robot.

Effects of grammatical categories on children's visual language processing: Evidence from event-related brain potentials.

PubMed

Weber-Fox, Christine; Hart, Laura J; Spruill, John E

2006-07-01

This study examined how school-aged children process different grammatical categories. Event-related brain potentials elicited by words in visually presented sentences were analyzed according to seven grammatical categories with naturally varying characteristics of linguistic functions, semantic features, and quantitative attributes of length and frequency. The categories included nouns, adjectives, verbs, pronouns, conjunctions, prepositions, and articles. The findings indicate that by the age of 9-10 years, children exhibit robust neural indicators differentiating grammatical categories; however, it is also evident that development of language processing is not yet adult-like at this age. The current findings are consistent with the hypothesis that for beginning readers a variety of cues and characteristics interact to affect processing of different grammatical categories and indicate the need to take into account linguistic functions, prosodic salience, and grammatical complexity as they relate to the development of language abilities.

A multimodal parallel architecture: A cognitive framework for multimodal interactions.

PubMed

Cohn, Neil

2016-01-01

Human communication is naturally multimodal, and substantial focus has examined the semantic correspondences in speech-gesture and text-image relationships. However, visual narratives, like those in comics, provide an interesting challenge to multimodal communication because the words and/or images can guide the overall meaning, and both modalities can appear in complicated "grammatical" sequences: sentences use a syntactic structure and sequential images use a narrative structure. These dual structures create complexity beyond those typically addressed by theories of multimodality where only a single form uses combinatorial structure, and also poses challenges for models of the linguistic system that focus on single modalities. This paper outlines a broad theoretical framework for multimodal interactions by expanding on Jackendoff's (2002) parallel architecture for language. Multimodal interactions are characterized in terms of their component cognitive structures: whether a particular modality (verbal, bodily, visual) is present, whether it uses a grammatical structure (syntax, narrative), and whether it "dominates" the semantics of the overall expression. Altogether, this approach integrates multimodal interactions into an existing framework of language and cognition, and characterizes interactions between varying complexity in the verbal, bodily, and graphic domains. The resulting theoretical model presents an expanded consideration of the boundaries of the "linguistic" system and its involvement in multimodal interactions, with a framework that can benefit research on corpus analyses, experimentation, and the educational benefits of multimodality. Copyright © 2015.

How Much Language Is Enough? Some Immigrant Language Lessons from Canada and Germany. Discussion Paper.

ERIC Educational Resources Information Center

DeVoretz, Don J.; Hinte, Holger; Werner, Christiane

Germany and Canada are at opposite ends of the debate over language integration and ascension to citizenship. German naturalization contains an explicit language criterion for naturalization. The first German immigration act will not only concentrate on control aspects but also focus on language as a criterion for legal immigration. Canada does…

Teaching Language-Deviant Children to Generalize Newly Taught Language: A Socio-Ecological Approach. Volume I. Final Report.

ERIC Educational Resources Information Center

Schiefelbusch, R. L.; Rogers-Warren, Ann

The report examines longitudinal research on language generalization in natural environments of 32 severely retarded, moderately retarded, and mildly language delayed preschool children. All Ss received language training on one of two programs and Ss' speech samples in a natural environment were collected and analyzed for evidence of…

Implementation is crucial but must be neurobiologically grounded. Comment on “Toward a computational framework for cognitive biology: Unifying approaches from cognitive neuroscience and comparative cognition” by W. Tecumseh Fitch

NASA Astrophysics Data System (ADS)

Bornkessel-Schlesewsky, Ina; Schlesewsky, Matthias; Small, Steven L.

2014-09-01

From the perspective of language, Fitch's [1] claim that theories of cognitive computation should not be separated from those of implementation surely deserves applauding. Recent developments in the Cognitive Neuroscience of Language, leading to the new field of the Neurobiology of Language [2-4], emphasise precisely this point: rather than attempting to simply map cognitive theories of language onto the brain, we should aspire to understand how the brain implements language. This perspective resonates with many of the points raised by Fitch in his review, such as the discussion of unhelpful dichotomies (e.g., Nature versus Nurture). Cognitive dichotomies and debates have repeatedly turned out to be of limited usefulness when it comes to understanding language in the brain. The famous modularity-versus-interactivity and dual route-versus-connectionist debates are cases in point: in spite of hundreds of experiments using neuroimaging (or other techniques), or the construction of myriad computer models, little progress has been made in their resolution. This suggests that dichotomies proposed at a purely cognitive (or computational) level without consideration of biological grounding appear to be "asking the wrong questions" about the neurobiology of language. In accordance with these developments, several recent proposals explicitly consider neurobiological constraints while seeking to explain language processing at a cognitive level (e.g. [5-7]).

A natural command language for C/3/I applications

NASA Astrophysics Data System (ADS)

Mergler, J. P.

1980-03-01

The article discusses the development of a natural command language and a control and analysis console designed to simplify the task of the operator in field of Command, Control, Communications, and Intelligence. The console is based on a DEC LSI-11 microcomputer, supported by 16-K words of memory and a serial interface component. Discussion covers the language, which utilizes English and a natural syntax, and how it is integrated with the hardware. It is concluded that results have demonstrated the effectiveness of this natural command language.

Dependency distances in natural mixed languages. Comment on "Dependency distance: A new perspective on syntactic patterns in natural languages" by Haitao Liu et al.

NASA Astrophysics Data System (ADS)

Wang, Lin

2017-07-01

Haitao Liu et al.'s article [1] offers a comprehensive account of the diversity of syntactic patterns in human languages in terms of an important index of memory burden and syntactic difficulty - the dependency distance. Natural languages, a complex system, present overall shorter dependency distances under the universal pressure for dependency distance minimization; however, there exist some relatively-long-distance dependencies, which reflect that language can constantly adapt itself to some deep-level biological or functional constraints.

Becoming "Spanish Learners": Identity and Interaction among Multilingual Children in a Spanish-English Dual Language Classroom

ERIC Educational Resources Information Center

Martínez, Ramón Antonio; Durán, Leah; Hikida, Michiko

2017-01-01

This article explores the interactional co-construction of identities among two first-grade students learning Spanish as a third language in a Spanish-English dual language classroom. Drawing on ethnographic and interactional data, the article focuses on a single interaction between these two "Spanish learners" and two of their…

Negotiation of Meaning and Language-Related Episodes in Synchronous, Audio-Based Chinese-German eTandem

ERIC Educational Resources Information Center

Renner, Julia

2017-01-01

The present paper examines negotiation of meaning and language-related episodes in Chinese-German eTandem interaction, focusing on Chinese as target language. Against the background of the interactionist approach to language learning and drawing upon Swain and Lapkin's (1998, Interaction and second language learning: Two adolescent French…

Co-development of manner and path concepts in language, action, and eye-gaze behavior.

PubMed

Lohan, Katrin S; Griffiths, Sascha S; Sciutti, Alessandra; Partmann, Tim C; Rohlfing, Katharina J

2014-07-01

In order for artificial intelligent systems to interact naturally with human users, they need to be able to learn from human instructions when actions should be imitated. Human tutoring will typically consist of action demonstrations accompanied by speech. In the following, the characteristics of human tutoring during action demonstration will be examined. A special focus will be put on the distinction between two kinds of motion events: path-oriented actions and manner-oriented actions. Such a distinction is inspired by the literature pertaining to cognitive linguistics, which indicates that the human conceptual system can distinguish these two distinct types of motion. These two kinds of actions are described in language by more path-oriented or more manner-oriented utterances. In path-oriented utterances, the source, trajectory, or goal is emphasized, whereas in manner-oriented utterances the medium, velocity, or means of motion are highlighted. We examined a video corpus of adult-child interactions comprised of three age groups of children-pre-lexical, early lexical, and lexical-and two different tasks, one emphasizing manner more strongly and one emphasizing path more strongly. We analyzed the language and motion of the caregiver and the gazing behavior of the child to highlight the differences between the tutoring and the acquisition of the manner and path concepts. The results suggest that age is an important factor in the development of these action categories. The analysis of this corpus has also been exploited to develop an intelligent robotic behavior-the tutoring spotter system-able to emulate children's behaviors in a tutoring situation, with the aim of evoking in human subjects a natural and effective behavior in teaching to a robot. The findings related to the development of manner and path concepts have been used to implement new effective feedback strategies in the tutoring spotter system, which should provide improvements in human-robot interaction. Copyright © 2014 Cognitive Science Society, Inc.

Multilingual natural language generation as part of a medical terminology server.

PubMed

Wagner, J C; Solomon, W D; Michel, P A; Juge, C; Baud, R H; Rector, A L; Scherrer, J R

1995-01-01

Re-usable and sharable, and therefore language-independent concept models are of increasing importance in the medical domain. The GALEN project (Generalized Architecture for Languages Encyclopedias and Nomenclatures in Medicine) aims at developing language-independent concept representation systems as the foundations for the next generation of multilingual coding systems. For use within clinical applications, the content of the model has to be mapped to natural language. A so-called Multilingual Information Module (MM) establishes the link between the language-independent concept model and different natural languages. This text generation software must be versatile enough to cope at the same time with different languages and with different parts of a compositional model. It has to meet, on the one hand, the properties of the language as used in the medical domain and, on the other hand, the specific characteristics of the underlying model and its representation formalism. We propose a semantic-oriented approach to natural language generation that is based on linguistic annotations to a concept model. This approach is realized as an integral part of a Terminology Server, built around the concept model and offering different terminological services for clinical applications.

Statistical Learning in a Natural Language by 8-Month-Old Infants

PubMed Central

Pelucchi, Bruna; Hay, Jessica F.; Saffran, Jenny R.

2013-01-01

Numerous studies over the past decade support the claim that infants are equipped with powerful statistical language learning mechanisms. The primary evidence for statistical language learning in word segmentation comes from studies using artificial languages, continuous streams of synthesized syllables that are highly simplified relative to real speech. To what extent can these conclusions be scaled up to natural language learning? In the current experiments, English-learning 8-month-old infants’ ability to track transitional probabilities in fluent infant-directed Italian speech was tested (N = 72). The results suggest that infants are sensitive to transitional probability cues in unfamiliar natural language stimuli, and support the claim that statistical learning is sufficiently robust to support aspects of real-world language acquisition. PMID:19489896

Statistical learning in a natural language by 8-month-old infants.

PubMed

Pelucchi, Bruna; Hay, Jessica F; Saffran, Jenny R

2009-01-01

Numerous studies over the past decade support the claim that infants are equipped with powerful statistical language learning mechanisms. The primary evidence for statistical language learning in word segmentation comes from studies using artificial languages, continuous streams of synthesized syllables that are highly simplified relative to real speech. To what extent can these conclusions be scaled up to natural language learning? In the current experiments, English-learning 8-month-old infants' ability to track transitional probabilities in fluent infant-directed Italian speech was tested (N = 72). The results suggest that infants are sensitive to transitional probability cues in unfamiliar natural language stimuli, and support the claim that statistical learning is sufficiently robust to support aspects of real-world language acquisition.

Using Language Learning Conditions in Mathematics. PEN 68.

ERIC Educational Resources Information Center

Stoessiger, Rex

This pamphlet reports on a project in Tasmania exploring whether the "natural learning conditions" approach to language learning could be adapted for mathematics. The connections between language and mathematics, as well as the natural learning processes of language learning are described in the pamphlet. The project itself is…

A Large-Scale Analysis of Variance in Written Language

ERIC Educational Resources Information Center

Johns, Brendan T.; Jamieson, Randall K.

2018-01-01

The collection of very large text sources has revolutionized the study of natural language, leading to the development of several models of language learning and distributional semantics that extract sophisticated semantic representations of words based on the statistical redundancies contained within natural language (e.g., Griffiths, Steyvers,…

Programming Languages, Natural Languages, and Mathematics

ERIC Educational Resources Information Center

Naur, Peter

1975-01-01

Analogies are drawn between the social aspects of programming and similar aspects of mathematics and natural languages. By analogy with the history of auxiliary languages it is suggested that Fortran and Cobol will remain dominant. (Available from the Association of Computing Machinery, 1133 Avenue of the Americas, New York, NY 10036.) (Author/TL)

Testing of a Natural Language Retrieval System for a Full Text Knowledge Base.

ERIC Educational Resources Information Center

Bernstein, Lionel M.; Williamson, Robert E.

1984-01-01

The Hepatitis Knowledge Base (text of prototype information system) was used for modifying and testing "A Navigator of Natural Language Organized (Textual) Data" (ANNOD), a retrieval system which combines probabilistic, linguistic, and empirical means to rank individual paragraphs of full text for similarity to natural language queries…

Open Source Clinical NLP – More than Any Single System

PubMed Central

Masanz, James; Pakhomov, Serguei V.; Xu, Hua; Wu, Stephen T.; Chute, Christopher G.; Liu, Hongfang

2014-01-01

The number of Natural Language Processing (NLP) tools and systems for processing clinical free-text has grown as interest and processing capability have surged. Unfortunately any two systems typically cannot simply interoperate, even when both are built upon a framework designed to facilitate the creation of pluggable components. We present two ongoing activities promoting open source clinical NLP. The Open Health Natural Language Processing (OHNLP) Consortium was originally founded to foster a collaborative community around clinical NLP, releasing UIMA-based open source software. OHNLP’s mission currently includes maintaining a catalog of clinical NLP software and providing interfaces to simplify the interaction of NLP systems. Meanwhile, Apache cTAKES aims to integrate best-of-breed annotators, providing a world-class NLP system for accessing clinical information within free-text. These two activities are complementary. OHNLP promotes open source clinical NLP activities in the research community and Apache cTAKES bridges research to the health information technology (HIT) practice. PMID:25954581

A natural language interface plug-in for cooperative query answering in biological databases.

PubMed

Jamil, Hasan M

2012-06-11

One of the many unique features of biological databases is that the mere existence of a ground data item is not always a precondition for a query response. It may be argued that from a biologist's standpoint, queries are not always best posed using a structured language. By this we mean that approximate and flexible responses to natural language like queries are well suited for this domain. This is partly due to biologists' tendency to seek simpler interfaces and partly due to the fact that questions in biology involve high level concepts that are open to interpretations computed using sophisticated tools. In such highly interpretive environments, rigidly structured databases do not always perform well. In this paper, our goal is to propose a semantic correspondence plug-in to aid natural language query processing over arbitrary biological database schema with an aim to providing cooperative responses to queries tailored to users' interpretations. Natural language interfaces for databases are generally effective when they are tuned to the underlying database schema and its semantics. Therefore, changes in database schema become impossible to support, or a substantial reorganization cost must be absorbed to reflect any change. We leverage developments in natural language parsing, rule languages and ontologies, and data integration technologies to assemble a prototype query processor that is able to transform a natural language query into a semantically equivalent structured query over the database. We allow knowledge rules and their frequent modifications as part of the underlying database schema. The approach we adopt in our plug-in overcomes some of the serious limitations of many contemporary natural language interfaces, including support for schema modifications and independence from underlying database schema. The plug-in introduced in this paper is generic and facilitates connecting user selected natural language interfaces to arbitrary databases using a semantic description of the intended application. We demonstrate the feasibility of our approach with a practical example.

A Wittgenstein Approach to the Learning of OO-modeling

NASA Astrophysics Data System (ADS)

Holmboe, Christian

2004-12-01

The paper uses Ludwig Wittgenstein's theories about the relationship between thought, language, and objects of the world to explore the assumption that OO-thinking resembles natural thinking. The paper imports from research in linguistic philosophy to computer science education research. I show how UML class diagrams (i.e., an artificial context-free language) correspond to the logically perfect languages described in Tractatus Logico-Philosophicus. In Philosophical Investigations Wittgenstein disputes his previous theories by showing that natural languages are not constructed by rules of mathematical logic, but are language games where the meaning of a word is constructed through its use in social contexts. Contradicting the claim that OO-thinking is easy to learn because of its similarity to natural thinking, I claim that OO-thinking is difficult to learn because of its differences from natural thinking. The nature of these differences is not currently well known or appreciated. I suggest how explicit attention to the nature and implications of different language games may improve the teaching and learning of OO-modeling as well as programming.

Improving Second Language Speaking Proficiency via Interactional Feedback

ERIC Educational Resources Information Center

Swanson, Peter B.; Schlig, Carmen

2010-01-01

Researchers have suggested that interactional feedback is associated with foreign/second language learning because it prompts learners to notice foreign/second language forms. Using Vygotsky's zone of proximal development and Long's interaction hypothesis as conceptual frameworks, this study explores the use of systematic explicit feedback to…

Storytelling, behavior planning, and language evolution in context.

PubMed

McBride, Glen

2014-01-01

An attempt is made to specify the structure of the hominin bands that began steps to language. Storytelling could evolve without need for language yet be strongly subject to natural selection and could provide a major feedback process in evolving language. A storytelling model is examined, including its effects on the evolution of consciousness and the possible timing of language evolution. Behavior planning is presented as a model of language evolution from storytelling. The behavior programming mechanism in both directions provide a model of creating and understanding behavior and language. Culture began with societies, then family evolution, family life in troops, but storytelling created a culture of experiences, a final step in the long process of achieving experienced adults by natural selection. Most language evolution occurred in conversations where evolving non-verbal feedback ensured mutual agreements on understanding. Natural language evolved in conversations with feedback providing understanding of changes.

Storytelling, behavior planning, and language evolution in context

PubMed Central

McBride, Glen

2014-01-01

An attempt is made to specify the structure of the hominin bands that began steps to language. Storytelling could evolve without need for language yet be strongly subject to natural selection and could provide a major feedback process in evolving language. A storytelling model is examined, including its effects on the evolution of consciousness and the possible timing of language evolution. Behavior planning is presented as a model of language evolution from storytelling. The behavior programming mechanism in both directions provide a model of creating and understanding behavior and language. Culture began with societies, then family evolution, family life in troops, but storytelling created a culture of experiences, a final step in the long process of achieving experienced adults by natural selection. Most language evolution occurred in conversations where evolving non-verbal feedback ensured mutual agreements on understanding. Natural language evolved in conversations with feedback providing understanding of changes. PMID:25360123

Wolfram technologies as an integrated scalable platform for interactive learning

NASA Astrophysics Data System (ADS)

Kaurov, Vitaliy

2012-02-01

We rely on technology profoundly with the prospect of even greater integration in the future. Well known challenges in education are a technology-inadequate curriculum and many software platforms that are difficult to scale or interconnect. We'll review an integrated technology, much of it free, that addresses these issues for individuals and small schools as well as for universities. Topics include: Mathematica, a programming environment that offers a diverse range of functionality; natural language programming for getting started quickly and accessing data from Wolfram|Alpha; quick and easy construction of interactive courseware and scientific applications; partnering with publishers to create interactive e-textbooks; course assistant apps for mobile platforms; the computable document format (CDF); teacher-student and student-student collaboration on interactive projects and web publishing at the Wolfram Demonstrations site.

Skype me! Socially Contingent Interactions Help Toddlers Learn Language

PubMed Central

Roseberry, Sarah; Hirsh-Pasek, Kathy; Golinkoff, Roberta Michnick

2013-01-01

Language learning takes place in the context of social interactions, yet the mechanisms that render social interactions useful for learning language remain unclear. This paper focuses on whether social contingency might support word learning. Toddlers aged 24- to 30-months (N=36) were exposed to novel verbs in one of three conditions: live interaction training, socially contingent video training over video chat, and non-contingent video training (yoked video). Results suggest that children only learned novel verbs in socially contingent interactions (live interactions and video chat). The current study highlights the importance of social contingency in interactions for language learning and informs the literature on learning through screen media as the first study to examine word learning through video chat technology. PMID:24112079

A Grammar-Based Semantic Similarity Algorithm for Natural Language Sentences

PubMed Central

Chang, Jia Wei; Hsieh, Tung Cheng

2014-01-01

This paper presents a grammar and semantic corpus based similarity algorithm for natural language sentences. Natural language, in opposition to “artificial language”, such as computer programming languages, is the language used by the general public for daily communication. Traditional information retrieval approaches, such as vector models, LSA, HAL, or even the ontology-based approaches that extend to include concept similarity comparison instead of cooccurrence terms/words, may not always determine the perfect matching while there is no obvious relation or concept overlap between two natural language sentences. This paper proposes a sentence similarity algorithm that takes advantage of corpus-based ontology and grammatical rules to overcome the addressed problems. Experiments on two famous benchmarks demonstrate that the proposed algorithm has a significant performance improvement in sentences/short-texts with arbitrary syntax and structure. PMID:24982952

Data-driven analysis of functional brain interactions during free listening to music and speech.

PubMed

Fang, Jun; Hu, Xintao; Han, Junwei; Jiang, Xi; Zhu, Dajiang; Guo, Lei; Liu, Tianming

2015-06-01

Natural stimulus functional magnetic resonance imaging (N-fMRI) such as fMRI acquired when participants were watching video streams or listening to audio streams has been increasingly used to investigate functional mechanisms of the human brain in recent years. One of the fundamental challenges in functional brain mapping based on N-fMRI is to model the brain's functional responses to continuous, naturalistic and dynamic natural stimuli. To address this challenge, in this paper we present a data-driven approach to exploring functional interactions in the human brain during free listening to music and speech streams. Specifically, we model the brain responses using N-fMRI by measuring the functional interactions on large-scale brain networks with intrinsically established structural correspondence, and perform music and speech classification tasks to guide the systematic identification of consistent and discriminative functional interactions when multiple subjects were listening music and speech in multiple categories. The underlying premise is that the functional interactions derived from N-fMRI data of multiple subjects should exhibit both consistency and discriminability. Our experimental results show that a variety of brain systems including attention, memory, auditory/language, emotion, and action networks are among the most relevant brain systems involved in classic music, pop music and speech differentiation. Our study provides an alternative approach to investigating the human brain's mechanism in comprehension of complex natural music and speech.

Deciphering the language of nature: cryptography, secrecy, and alterity in Francis Bacon.

PubMed

Clody, Michael C

2011-01-01

The essay argues that Francis Bacon's considerations of parables and cryptography reflect larger interpretative concerns of his natural philosophic project. Bacon describes nature as having a language distinct from those of God and man, and, in so doing, establishes a central problem of his natural philosophy—namely, how can the language of nature be accessed through scientific representation? Ultimately, Bacon's solution relies on a theory of differential and duplicitous signs that conceal within them the hidden voice of nature, which is best recognized in the natural forms of efficient causality. The "alphabet of nature"—those tables of natural occurrences—consequently plays a central role in his program, as it renders nature's language susceptible to a process and decryption that mirrors the model of the bilateral cipher. It is argued that while the writing of Bacon's natural philosophy strives for literality, its investigative process preserves a space for alterity within scientific representation, that is made accessible to those with the interpretative key.

Specification and Verification of Web Applications in Rewriting Logic

NASA Astrophysics Data System (ADS)

Alpuente, María; Ballis, Demis; Romero, Daniel

This paper presents a Rewriting Logic framework that formalizes the interactions between Web servers and Web browsers through a communicating protocol abstracting HTTP. The proposed framework includes a scripting language that is powerful enough to model the dynamics of complex Web applications by encompassing the main features of the most popular Web scripting languages (e.g. PHP, ASP, Java Servlets). We also provide a detailed characterization of browser actions (e.g. forward/backward navigation, page refresh, and new window/tab openings) via rewrite rules, and show how our models can be naturally model-checked by using the Linear Temporal Logic of Rewriting (LTLR), which is a Linear Temporal Logic specifically designed for model-checking rewrite theories. Our formalization is particularly suitable for verification purposes, since it allows one to perform in-depth analyses of many subtle aspects related to Web interaction. Finally, the framework has been completely implemented in Maude, and we report on some successful experiments that we conducted by using the Maude LTLR model-checker.

Natural language generation of surgical procedures.

PubMed

Wagner, J C; Rogers, J E; Baud, R H; Scherrer, J R

1998-01-01

The GALEN-IN-USE project has developed a compositional scheme for the conceptual representation of surgical operative procedure rubrics. The complex representations which result are translated back to surface language by a tool for multilingual natural language generation. This generator can be adapted to the specific characteristics of the scheme by introducing particular definitions of concepts and relationships. We discuss how the generator uses such definitions to bridge between the modelling 'style' of the GALEN scheme and natural language.

Concepts and implementations of natural language query systems

NASA Technical Reports Server (NTRS)

Dominick, Wayne D. (Editor); Liu, I-Hsiung

1984-01-01

The currently developed user language interfaces of information systems are generally intended for serious users. These interfaces commonly ignore potentially the largest user group, i.e., casual users. This project discusses the concepts and implementations of a natural query language system which satisfy the nature and information needs of casual users by allowing them to communicate with the system in the form of their native (natural) language. In addition, a framework for the development of such an interface is also introduced for the MADAM (Multics Approach to Data Access and Management) system at the University of Southwestern Louisiana.

Interactional Feedback in Naturalistic Interaction between L2 English Learners

ERIC Educational Resources Information Center

Ranaweera, Mahishi

2015-01-01

Theoretical and empirical data support that the feedback given in small group activities promote second language acquisition. There are many studies that have examined the impact of interaction on second language acquisition in controlled language situations. This study examines the small group activity "conversation partner" in order to…

Music and language: relations and disconnections.

PubMed

Kraus, Nina; Slater, Jessica

2015-01-01

Music and language provide an important context in which to understand the human auditory system. While they perform distinct and complementary communicative functions, music and language are both rooted in the human desire to connect with others. Since sensory function is ultimately shaped by what is biologically important to the organism, the human urge to communicate has been a powerful driving force in both the evolution of auditory function and the ways in which it can be changed by experience within an individual lifetime. This chapter emphasizes the highly interactive nature of the auditory system as well as the depth of its integration with other sensory and cognitive systems. From the origins of music and language to the effects of auditory expertise on the neural encoding of sound, we consider key themes in auditory processing, learning, and plasticity. We emphasize the unique role of the auditory system as the temporal processing "expert" in the brain, and explore relationships between communication and cognition. We demonstrate how experience with music and language can have a significant impact on underlying neural function, and that auditory expertise strengthens some of the very same aspects of sound encoding that are deficient in impaired populations. © 2015 Elsevier B.V. All rights reserved.

Is “Huh?” a Universal Word? Conversational Infrastructure and the Convergent Evolution of Linguistic Items

PubMed Central

Dingemanse, Mark; Torreira, Francisco; Enfield, N. J.

2013-01-01

A word like Huh?–used as a repair initiator when, for example, one has not clearly heard what someone just said– is found in roughly the same form and function in spoken languages across the globe. We investigate it in naturally occurring conversations in ten languages and present evidence and arguments for two distinct claims: that Huh? is universal, and that it is a word. In support of the first, we show that the similarities in form and function of this interjection across languages are much greater than expected by chance. In support of the second claim we show that it is a lexical, conventionalised form that has to be learnt, unlike grunts or emotional cries. We discuss possible reasons for the cross-linguistic similarity and propose an account in terms of convergent evolution. Huh? is a universal word not because it is innate but because it is shaped by selective pressures in an interactional environment that all languages share: that of other-initiated repair. Our proposal enhances evolutionary models of language change by suggesting that conversational infrastructure can drive the convergent cultural evolution of linguistic items. PMID:24260108

Gesture production and comprehension in children with specific language impairment.

PubMed

Botting, Nicola; Riches, Nicholas; Gaynor, Marguerite; Morgan, Gary

2010-03-01

Children with specific language impairment (SLI) have difficulties with spoken language. However, some recent research suggests that these impairments reflect underlying cognitive limitations. Studying gesture may inform us clinically and theoretically about the nature of the association between language and cognition. A total of 20 children with SLI and 19 typically developing (TD) peers were assessed on a novel measure of gesture production. Children were also assessed for sentence comprehension errors in a speech-gesture integration task. Children with SLI performed equally to peers on gesture production but performed less well when comprehending integrated speech and gesture. Error patterns revealed a significant group interaction: children with SLI made more gesture-based errors, whilst TD children made semantically based ones. Children with SLI accessed and produced lexically encoded gestures despite having impaired spoken vocabulary and this group also showed stronger associations between gesture and language than TD children. When SLI comprehension breaks down, gesture may be relied on over speech, whilst TD children have a preference for spoken cues. The findings suggest that for children with SLI, gesture scaffolds are still more related to language development than for TD peers who have out-grown earlier reliance on gestures. Future clinical implications may include standardized assessment of symbolic gesture and classroom based gesture support for clinical groups.

Defining Soldier Intent in a Human-Robot Natural Language Interaction Context

DTIC Science & Technology

2017-10-01

this burden on the human and expand the scope of human–robot operations, this project investigates fundamental research issues in the autonomous...attempted to devise a quantitative metric for the Shared Interpretation of Commander’s Intent (SICI). The authors’ background research indicated that...Another interesting set of results were the cases where the battalion and company commanders disagreed on the meaning of key terms, such as “delay”, which

Dialogue-Games: Meta-Communication Structures for Natural Language Interaction

DTIC Science & Technology

1977-01-01

Dialogue- games are only those described here. For example, they are not necessarily competitive , consciously pursued, or zero-sum. 3. THE DIALOGUE- GAME ...fr«. CO / (Mt l / H- James A. Levin James A. Moore ARPA ORDER NO. 2930 NR 134 374 ISI/RR 77-53 January 1977 Dialogue Games : Meta...these patterns. These patterns have been represented by a set of knowledge structures called Dialogue- games , capturing shared conventional Knowledge

Responsiveness of Child Care Providers in Interactions With Toddlers and Preschoolers.

PubMed

Girolametto, Luigi; Weitzman, Elaine

2002-10-01

This exploratory study investigated the responsive language input of 26 child care providers to young children enrolled in community child care centers. Three subtypes of responsive interaction strategies were rated and compared across two age groups (toddlers, preschoolers) and two naturalistic contexts (book reading, play dough activity). The toddlers were between 17 and 33 months of age and the preschoolers were between 30 and 53 months of age. Caregiver-child interactions were rated using the Teacher Interaction and Language Rating Scale (Girolametto, Weitzman, & Greenberg, 2000) to provide information about the frequency of responsive language strategies. Caregivers used similar levels of child-centered and interaction-promoting strategies with both age groups, but used more labelling with toddlers and more topic extensions with preschoolers. The context of the interaction exerted a systematic influence on the caregivers' use of responsive strategies, with the play dough activity providing the most responsive input overall. There was a strong positive relationship between all three subtypes of caregivers' responsiveness and variation in the preschoolers' language productivity. In contrast, only interaction-promoting strategies were positively related to measures of the toddlers' language productivity. The results of this study suggest that caregivers' responsiveness in group interactions is highly dependent on the context of the interaction and, to a lesser extent, on the language abilities of the children. Future research is required to determine if inservice training can enhance levels of responsiveness and accelerate language learning in young children in group care.

Inferring heuristic classification hierarchies from natural language input

NASA Technical Reports Server (NTRS)

Hull, Richard; Gomez, Fernando

1993-01-01

A methodology for inferring hierarchies representing heuristic knowledge about the check out, control, and monitoring sub-system (CCMS) of the space shuttle launch processing system from natural language input is explained. Our method identifies failures explicitly and implicitly described in natural language by domain experts and uses those descriptions to recommend classifications for inclusion in the experts' heuristic hierarchies.

Natural Language Processing in Game Studies Research: An Overview

ERIC Educational Resources Information Center

Zagal, Jose P.; Tomuro, Noriko; Shepitsen, Andriy

2012-01-01

Natural language processing (NLP) is a field of computer science and linguistics devoted to creating computer systems that use human (natural) language as input and/or output. The authors propose that NLP can also be used for game studies research. In this article, the authors provide an overview of NLP and describe some research possibilities…

Toward a Theory-Based Natural Language Capability in Robots and Other Embodied Agents: Evaluating Hausser's SLIM Theory and Database Semantics

ERIC Educational Resources Information Center

Burk, Robin K.

2010-01-01

Computational natural language understanding and generation have been a goal of artificial intelligence since McCarthy, Minsky, Rochester and Shannon first proposed to spend the summer of 1956 studying this and related problems. Although statistical approaches dominate current natural language applications, two current research trends bring…

The Boolean Is Dead, Long Live the Boolean! Natural Language versus Boolean Searching in Introductory Undergraduate Instruction

ERIC Educational Resources Information Center

Lowe, M. Sara; Maxson, Bronwen K.; Stone, Sean M.; Miller, Willie; Snajdr, Eric; Hanna, Kathleen

2018-01-01

Boolean logic can be a difficult concept for first-year, introductory students to grasp. This paper compares the results of Boolean and natural language searching across several databases with searches created from student research questions. Performance differences between databases varied. Overall, natural search language is at least as good as…

A Framework for Representing and Jointly Reasoning over Linguistic and Non-Linguistic Knowledge

ERIC Educational Resources Information Center

Murugesan, Arthi

2009-01-01

Natural language poses several challenges to developing computational systems for modeling it. Natural language is not a precise problem but is rather ridden with a number of uncertainties in the form of either alternate words or interpretations. Furthermore, natural language is a generative system where the problem size is potentially infinite.…

CONSTRUCT: In Search of a Theory of Meaning. Technical Report No. 238.

ERIC Educational Resources Information Center

Smith, R. L.; And Others

A new language-processing system, CONSTRUCT, is described and defined as a question-answering system for elementary mathematical language using natural language input. The primary goal is said to be an attempt to reach a better understanding of the relationship between syntactic and semantic components of natural language. The "meaning…

Role of PROLOG (Programming and Logic) in natural-language processing. Report for September-December 1987

DOE Office of Scientific and Technical Information (OSTI.GOV)

McHale, M.L.

The field of artificial Intelligence strives to produce computer programs that exhibit intelligent behavior. One of the areas of interest is the processing of natural language. This report discusses the role of the computer language PROLOG in Natural Language Processing (NLP) both from theoretic and pragmatic viewpoints. The reasons for using PROLOG for NLP are numerous. First, linguists can write natural-language grammars almost directly as PROLOG programs; this allows fast-prototyping of NLP systems and facilitates analysis of NLP theories. Second, semantic representations of natural-language texts that use logic formalisms are readily produced in PROLOG because of PROLOG's logical foundations. Third,more » PROLOG's built-in inferencing mechanisms are often sufficient for inferences on the logical forms produced by NLPs. Fourth, the logical, declarative nature of PROLOG may make it the language of choice for parallel computing systems. Finally, the fact that PROLOG has a de facto standard (Edinburgh) makes the porting of code from one computer system to another virtually trouble free. Perhaps the strongest tie one could make between NLP and PROLOG was stated by John Stuart Mill in his inaugural Address at St. Andrews: The structure of every sentence is a lesson in logic.« less

PASTE: patient-centered SMS text tagging in a medication management system.

PubMed

Stenner, Shane P; Johnson, Kevin B; Denny, Joshua C

2012-01-01

To evaluate the performance of a system that extracts medication information and administration-related actions from patient short message service (SMS) messages. Mobile technologies provide a platform for electronic patient-centered medication management. MyMediHealth (MMH) is a medication management system that includes a medication scheduler, a medication administration record, and a reminder engine that sends text messages to cell phones. The object of this work was to extend MMH to allow two-way interaction using mobile phone-based SMS technology. Unprompted text-message communication with patients using natural language could engage patients in their healthcare, but presents unique natural language processing challenges. The authors developed a new functional component of MMH, the Patient-centered Automated SMS Tagging Engine (PASTE). The PASTE web service uses natural language processing methods, custom lexicons, and existing knowledge sources to extract and tag medication information from patient text messages. A pilot evaluation of PASTE was completed using 130 medication messages anonymously submitted by 16 volunteers via a website. System output was compared with manually tagged messages. Verified medication names, medication terms, and action terms reached high F-measures of 91.3%, 94.7%, and 90.4%, respectively. The overall medication name F-measure was 79.8%, and the medication action term F-measure was 90%. Other studies have demonstrated systems that successfully extract medication information from clinical documents using semantic tagging, regular expression-based approaches, or a combination of both approaches. This evaluation demonstrates the feasibility of extracting medication information from patient-generated medication messages.

Racial identification, knowledge, and the politics of everyday life in an Arizona science classroom: A linguistic ethnography

NASA Astrophysics Data System (ADS)

O'Connor, Brendan Harold

This dissertation is a linguistic ethnography of a high school Astronomy/Oceanography classroom in southern Arizona, where an exceptionally promising, novice, white science teacher and mostly Mexican-American students confronted issues of identity and difference through interactions both related and unrelated to science learning. Through close analysis of video-recorded, naturally-occurring interaction and rich ethnographic description, the study documents how a teacher and students accomplished everyday classroom life, built caring relationships, and pursued scientific inquiry at a time and in a place where nationally- and locally-circulating discourses about immigration and race infused even routine interactions with tension and uncertainty. In their talk, students appropriated elements of racializing discourses, but also used language creatively to "speak back" to commonsense notions about Mexicanness. Careful examination of science-related interactions reveals the participants' negotiation of multiple, intersecting forms of citizenship (i.e., cultural and scientific citizenship) in the classroom, through multidirectional processes of language socialization in which students and the teacher regularly exchanged expert and novice roles. This study offers insight into the continuing relevance of racial, cultural, and linguistic identity to students' experiences of schooling, and sheds new light on classroom discourse, teacher-student relationships, and dimensions of citizenship in science learning, with important implications for teacher preparation and practice.

How relevant is social interaction in second language learning?

PubMed Central

Verga, Laura; Kotz, Sonja A.

2013-01-01

Verbal language is the most widespread mode of human communication, and an intrinsically social activity. This claim is strengthened by evidence emerging from different fields, which clearly indicates that social interaction influences human communication, and more specifically, language learning. Indeed, research conducted with infants and children shows that interaction with a caregiver is necessary to acquire language. Further evidence on the influence of sociality on language comes from social and linguistic pathologies, in which deficits in social and linguistic abilities are tightly intertwined, as is the case for Autism, for example. However, studies on adult second language (L2) learning have been mostly focused on individualistic approaches, partly because of methodological constraints, especially of imaging methods. The question as to whether social interaction should be considered as a critical factor impacting upon adult language learning still remains underspecified. Here, we review evidence in support of the view that sociality plays a significant role in communication and language learning, in an attempt to emphasize factors that could facilitate this process in adult language learning. We suggest that sociality should be considered as a potentially influential factor in adult language learning and that future studies in this domain should explicitly target this factor. PMID:24027521

How relevant is social interaction in second language learning?

PubMed

Verga, Laura; Kotz, Sonja A

2013-09-03

Verbal language is the most widespread mode of human communication, and an intrinsically social activity. This claim is strengthened by evidence emerging from different fields, which clearly indicates that social interaction influences human communication, and more specifically, language learning. Indeed, research conducted with infants and children shows that interaction with a caregiver is necessary to acquire language. Further evidence on the influence of sociality on language comes from social and linguistic pathologies, in which deficits in social and linguistic abilities are tightly intertwined, as is the case for Autism, for example. However, studies on adult second language (L2) learning have been mostly focused on individualistic approaches, partly because of methodological constraints, especially of imaging methods. The question as to whether social interaction should be considered as a critical factor impacting upon adult language learning still remains underspecified. Here, we review evidence in support of the view that sociality plays a significant role in communication and language learning, in an attempt to emphasize factors that could facilitate this process in adult language learning. We suggest that sociality should be considered as a potentially influential factor in adult language learning and that future studies in this domain should explicitly target this factor.

Modeling Memory for Language Understanding.

DTIC Science & Technology

1982-02-01

Abstract Research on natural language understanding by computer has shown that the nature and organization of memory plays j central role in the...block number) Research on natural language understanding by computer has shown that the nature and organization of memory plays a central role in the...understanding mechanism. Further we claim that such reminding is at the root of how we learn. Issues such as these have played an important part in shaping the

Dynamic generation of a table of contents with consumer-friendly labels.

PubMed

Miller, Trudi; Leroy, Gondy; Wood, Elizabeth

2006-01-01

Consumers increasingly look to the Internet for health information, but available resources are too difficult for the majority to understand. Interactive tables of contents (TOC) can help consumers access health information by providing an easy to understand structure. Using natural language processing and the Unified Medical Language System (UMLS), we have automatically generated TOCs for consumer health information. The TOC are categorized according to consumer-friendly labels for the UMLS semantic types and semantic groups. Categorizing phrases by semantic types is significantly more correct and relevant. Greater correctness and relevance was achieved with documents that are difficult to read than those at an easier reading level. Pruning TOCs to use categories that consumers favor further increases relevancy and correctness while reducing structural complexity.

Skype me! Socially contingent interactions help toddlers learn language.

PubMed

Roseberry, Sarah; Hirsh-Pasek, Kathy; Golinkoff, Roberta M

2014-01-01

Language learning takes place in the context of social interactions, yet the mechanisms that render social interactions useful for learning language remain unclear. This study focuses on whether social contingency might support word learning. Toddlers aged 24-30 months (N = 36) were exposed to novel verbs in one of three conditions: live interaction training, socially contingent video training over video chat, and noncontingent video training (yoked video). Results suggest that children only learned novel verbs in socially contingent interactions (live interactions and video chat). This study highlights the importance of social contingency in interactions for language learning and informs the literature on learning through screen media as the first study to examine word learning through video chat technology. © 2013 The Authors. Child Development © 2013 Society for Research in Child Development, Inc.

Investigating Stratification, Language Diversity and Mathematics Classroom Interaction

ERIC Educational Resources Information Center

Barwell, Richard

2016-01-01

Research on the socio-political dimensions of language diversity in mathematics classrooms is under-theorised and largely focuses on language choice. These dimensions are, however, likely to influence mathematics classroom interaction in many other ways than participants' choice of language. To investigate these influences, I propose that the…

Fostering Computer-Mediated L2 Interaction beyond the Classroom

ERIC Educational Resources Information Center

Barrs, Keith

2012-01-01

In language learning contexts a primary concern is how to maximise target language interaction both inside and outside of the classroom. With the development of digital technologies, the proliferation of language learning applications, and an increased awareness of how technology can assist in language education, educators are being presented with…

Multilayer network of language: A unified framework for structural analysis of linguistic subsystems

NASA Astrophysics Data System (ADS)

Martinčić-Ipšić, Sanda; Margan, Domagoj; Meštrović, Ana

2016-09-01

Recently, the focus of complex networks' research has shifted from the analysis of isolated properties of a system toward a more realistic modeling of multiple phenomena - multilayer networks. Motivated by the prosperity of multilayer approach in social, transport or trade systems, we introduce the multilayer networks for language. The multilayer network of language is a unified framework for modeling linguistic subsystems and their structural properties enabling the exploration of their mutual interactions. Various aspects of natural language systems can be represented as complex networks, whose vertices depict linguistic units, while links model their relations. The multilayer network of language is defined by three aspects: the network construction principle, the linguistic subsystem and the language of interest. More precisely, we construct a word-level (syntax and co-occurrence) and a subword-level (syllables and graphemes) network layers, from four variations of original text (in the modeled language). The analysis and comparison of layers at the word and subword-levels are employed in order to determine the mechanism of the structural influences between linguistic units and subsystems. The obtained results suggest that there are substantial differences between the networks' structures of different language subsystems, which are hidden during the exploration of an isolated layer. The word-level layers share structural properties regardless of the language (e.g. Croatian or English), while the syllabic subword-level expresses more language dependent structural properties. The preserved weighted overlap quantifies the similarity of word-level layers in weighted and directed networks. Moreover, the analysis of motifs reveals a close topological structure of the syntactic and syllabic layers for both languages. The findings corroborate that the multilayer network framework is a powerful, consistent and systematic approach to model several linguistic subsystems simultaneously and hence to provide a more unified view on language.

Exploring Peer Interaction among Multilingual Youth: New Possibilities and Challenges for Language and Literacy Learning

ERIC Educational Resources Information Center

Martin-Beltrán, Melinda

2017-01-01

Peer interactions are central to student experiences and present tremendous opportunities for language learning and consequences for educational equity, yet these opportunities have often been unrecognized and under-examined. This special issue offers new perspectives examining the potential of peer interaction to foster language, literacy and…

Skype Me! Socially Contingent Interactions Help Toddlers Learn Language

ERIC Educational Resources Information Center

Roseberry, Sarah; Hirsh-Pasek, Kathy; Golinkoff, Roberta M.

2014-01-01

Language learning takes place in the context of social interactions, yet the mechanisms that render social interactions useful for learning language remain unclear. This study focuses on whether social contingency might support word learning. Toddlers aged 24-30 months (N = 36) were exposed to novel verbs in one of three conditions: live…

Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project

PubMed Central

Jayatilleke, Nishamali; Kolliakou, Anna; Ball, Michael; Gorrell, Genevieve; Roberts, Angus; Stewart, Robert

2017-01-01

Objectives We sought to use natural language processing to develop a suite of language models to capture key symptoms of severe mental illness (SMI) from clinical text, to facilitate the secondary use of mental healthcare data in research. Design Development and validation of information extraction applications for ascertaining symptoms of SMI in routine mental health records using the Clinical Record Interactive Search (CRIS) data resource; description of their distribution in a corpus of discharge summaries. Setting Electronic records from a large mental healthcare provider serving a geographic catchment of 1.2 million residents in four boroughs of south London, UK. Participants The distribution of derived symptoms was described in 23 128 discharge summaries from 7962 patients who had received an SMI diagnosis, and 13 496 discharge summaries from 7575 patients who had received a non-SMI diagnosis. Outcome measures Fifty SMI symptoms were identified by a team of psychiatrists for extraction based on salience and linguistic consistency in records, broadly categorised under positive, negative, disorganisation, manic and catatonic subgroups. Text models for each symptom were generated using the TextHunter tool and the CRIS database. Results We extracted data for 46 symptoms with a median F1 score of 0.88. Four symptom models performed poorly and were excluded. From the corpus of discharge summaries, it was possible to extract symptomatology in 87% of patients with SMI and 60% of patients with non-SMI diagnosis. Conclusions This work demonstrates the possibility of automatically extracting a broad range of SMI symptoms from English text discharge summaries for patients with an SMI diagnosis. Descriptive data also indicated that most symptoms cut across diagnoses, rather than being restricted to particular groups. PMID:28096249

Generating Contextual Descriptions of Virtual Reality (VR) Spaces

NASA Astrophysics Data System (ADS)

Olson, D. M.; Zaman, C. H.; Sutherland, A.

2017-12-01

Virtual reality holds great potential for science communication, education, and research. However, interfaces for manipulating data and environments in virtual worlds are limited and idiosyncratic. Furthermore, speech and vision are the primary modalities by which humans collect information about the world, but the linking of visual and natural language domains is a relatively new pursuit in computer vision. Machine learning techniques have been shown to be effective at image and speech classification, as well as at describing images with language (Karpathy 2016), but have not yet been used to describe potential actions. We propose a technique for creating a library of possible context-specific actions associated with 3D objects in immersive virtual worlds based on a novel dataset generated natively in virtual reality containing speech, image, gaze, and acceleration data. We will discuss the design and execution of a user study in virtual reality that enabled the collection and the development of this dataset. We will also discuss the development of a hybrid machine learning algorithm linking vision data with environmental affordances in natural language. Our findings demonstrate that it is possible to develop a model which can generate interpretable verbal descriptions of possible actions associated with recognized 3D objects within immersive VR environments. This suggests promising applications for more intuitive user interfaces through voice interaction within 3D environments. It also demonstrates the potential to apply vast bodies of embodied and semantic knowledge to enrich user interaction within VR environments. This technology would allow for applications such as expert knowledge annotation of 3D environments, complex verbal data querying and object manipulation in virtual spaces, and computer-generated, dynamic 3D object affordances and functionality during simulations.

Knowledge-Based Extensible Natural Language Interface Technology Program

DTIC Science & Technology

1989-11-30

natural language as its own meta-language to explain the meaning and attributes of the words and idioms of the larguage. Educational courses in language...understood and used by Lydia for human-computer dialogue. The KL enables a systems developer or " teacher -user" to build the system to a point where new...language can be "formal" as in a structured educational language program or it can be "informal" as in the case of a person consulting a dictionary for the

Decision Making Strategy and the Simultaneous Processing of Syntactic Dependencies in Language and Music

PubMed Central

Roncaglia-Denissen, M. P.; Bouwer, Fleur L.; Honing, Henkjan

2018-01-01

Despite differences in their function and domain-specific elements, syntactic processing in music and language is believed to share cognitive resources. This study aims to investigate whether the simultaneous processing of language and music share the use of a common syntactic processor or more general attentional resources. To investigate this matter we tested musicians and non-musicians using visually presented sentences and aurally presented melodies containing syntactic local and long-distance dependencies. Accuracy rates and reaction times of participants’ responses were collected. In both sentences and melodies, unexpected syntactic anomalies were introduced. This is the first study to address the processing of local and long-distance dependencies in language and music combined while reducing the effect of sensory memory. Participants were instructed to focus on language (language session), music (music session), or both (dual session). In the language session, musicians and non-musicians performed comparably in terms of accuracy rates and reaction times. As expected, groups’ differences appeared in the music session, with musicians being more accurate in their responses than non-musicians and only the latter showing an interaction between the accuracy rates for music and language syntax. In the dual session musicians were overall more accurate than non-musicians. However, both groups showed comparable behavior, by displaying an interaction between the accuracy rates for language and music syntax responses. In our study, accuracy rates seem to better capture the interaction between language and music syntax; and this interaction seems to indicate the use of distinct, however, interacting mechanisms as part of decision making strategy. This interaction seems to be subject of an increase of attentional load and domain proficiency. Our study contributes to the long-lasting debate about the commonalities between language and music by providing evidence for their interaction at a more domain-general level. PMID:29441035

Decision Making Strategy and the Simultaneous Processing of Syntactic Dependencies in Language and Music.

PubMed

Roncaglia-Denissen, M P; Bouwer, Fleur L; Honing, Henkjan

2018-01-01

Despite differences in their function and domain-specific elements, syntactic processing in music and language is believed to share cognitive resources. This study aims to investigate whether the simultaneous processing of language and music share the use of a common syntactic processor or more general attentional resources. To investigate this matter we tested musicians and non-musicians using visually presented sentences and aurally presented melodies containing syntactic local and long-distance dependencies. Accuracy rates and reaction times of participants' responses were collected. In both sentences and melodies, unexpected syntactic anomalies were introduced. This is the first study to address the processing of local and long-distance dependencies in language and music combined while reducing the effect of sensory memory. Participants were instructed to focus on language (language session), music (music session), or both (dual session). In the language session, musicians and non-musicians performed comparably in terms of accuracy rates and reaction times. As expected, groups' differences appeared in the music session, with musicians being more accurate in their responses than non-musicians and only the latter showing an interaction between the accuracy rates for music and language syntax. In the dual session musicians were overall more accurate than non-musicians. However, both groups showed comparable behavior, by displaying an interaction between the accuracy rates for language and music syntax responses. In our study, accuracy rates seem to better capture the interaction between language and music syntax; and this interaction seems to indicate the use of distinct, however, interacting mechanisms as part of decision making strategy. This interaction seems to be subject of an increase of attentional load and domain proficiency. Our study contributes to the long-lasting debate about the commonalities between language and music by providing evidence for their interaction at a more domain-general level.

Integration of Speech and Natural Language

DTIC Science & Technology

1988-04-01

major activities: • Development of the syntax and semantics components for natural language processing. • Integration of the developed syntax and...evaluating the performance of speech recognition algonthms developed K» under the Strategic Computing Program. grs Our work on natural language processing...included the developement of a grammar (syntax) that uses the Uiuficanon gnmmaj formaMsm (an augmented context free formalism). The Unification

The language of nature matters: we need a more public ecology

Treesearch

Bruce R. Hull; David P. Robertson

2000-01-01

The language we use to describe nature matters. It is used by policy analysts to set goals for ecological restoration and management, by scientists to describe the nature that did, does, or could exist, and by all of us to imagine possible and acceptable conditions of environmental quality. Participants in environmental decision making demand a lot of the language and...

Automatic Requirements Specification Extraction from Natural Language (ARSENAL)

DTIC Science & Technology

2014-10-01

designers, implementers) involved in the design of software systems. However, natural language descriptions can be informal, incomplete, imprecise...communication of technical descriptions between the various stakeholders (e.g., customers, designers, imple- menters) involved in the design of software systems...the accuracy of the natural language processing stage, the degree of automation, and robustness to noise. 1 2 Introduction Software systems operate in

Semi-Automated Methods for Refining a Domain-Specific Terminology Base

DTIC Science & Technology

2011-02-01

only as a resource for written and oral translation, but also for Natural Language Processing ( NLP ) applications, text retrieval, document indexing...Natural Language Processing ( NLP ) applications, text retrieval, document indexing, and other knowledge management tasks. The objective of this...also for Natural Language Processing ( NLP ) applications, text retrieval (1), document indexing, and other knowledge management tasks. The National

Bibliography of Research in Natural Language Generation

DTIC Science & Technology

1993-11-01

on 1397] Barbara J. Gross Focuing and description in Artifcial Intelligence (GWAI-88), Geseke, West natural language dialogues, In Joshi et al. (557...Proceedings of the Fifth Canadian Conference from information in a frame structure. Data and on Artificial Intelligence , pages Ŕ-24, London, Knowledge...generation workshops (IWNLGS, ENLGWS), natural language processing conferences (ANLP, TINLAP, SPEECH), artificial intelligence conferences (AAAI, SCA

Research in Knowledge Representation for Natural Language Understanding

DTIC Science & Technology

1980-11-01

artificial intelligence, natural language understanding , parsing, syntax, semantics, speaker meaning, knowledge representation, semantic networks...TinB PAGE map M W006 1Report No. 4513 L RESEARCH IN KNOWLEDGE REPRESENTATION FOR NATURAL LANGUAGE UNDERSTANDING Annual Report 1 September 1979 to 31... understanding , knowledge representation, and knowledge based inference. The work that we have been doing falls into three classes, successively motivated by

Sociolinguistic Typology and Sign Languages.

PubMed

Schembri, Adam; Fenlon, Jordan; Cormier, Kearsy; Johnston, Trevor

2018-01-01

This paper examines the possible relationship between proposed social determinants of morphological 'complexity' and how this contributes to linguistic diversity, specifically via the typological nature of the sign languages of deaf communities. We sketch how the notion of morphological complexity, as defined by Trudgill (2011), applies to sign languages. Using these criteria, sign languages appear to be languages with low to moderate levels of morphological complexity. This may partly reflect the influence of key social characteristics of communities on the typological nature of languages. Although many deaf communities are relatively small and may involve dense social networks (both social characteristics that Trudgill claimed may lend themselves to morphological 'complexification'), the picture is complicated by the highly variable nature of the sign language acquisition for most deaf people, and the ongoing contact between native signers, hearing non-native signers, and those deaf individuals who only acquire sign languages in later childhood and early adulthood. These are all factors that may work against the emergence of morphological complexification. The relationship between linguistic typology and these key social factors may lead to a better understanding of the nature of sign language grammar. This perspective stands in contrast to other work where sign languages are sometimes presented as having complex morphology despite being young languages (e.g., Aronoff et al., 2005); in some descriptions, the social determinants of morphological complexity have not received much attention, nor has the notion of complexity itself been specifically explored.

Understanding the Nature of Learners' Out-of-Class Language Learning Experience with Technology

ERIC Educational Resources Information Center

Lai, Chun; Hu, Xiao; Lyu, Boning

2018-01-01

Out-of-class learning with technology comprises an essential context of second language development. Understanding the nature of out-of-class language learning with technology is the initial step towards safeguarding its quality. This study examined the types of learning experiences that language learners engaged in outside the classroom and the…

"Use Your Words:" Reconsidering the Language of Conflict in the Early Years

ERIC Educational Resources Information Center

Blank, Jolyn; Schneider, Jenifer Jasinski

2011-01-01

This article explores the nature of classroom conflict as language practice. The authors describe the enactment of conflict events in one kindergarten classroom and analyze the events in order to identify the language practices teachers use, considering teachers' desires for language use in relation to conflict and exploring the nature of the…

Parent-Implemented Natural Language Paradigm to Increase Language and Play in Children with Autism

ERIC Educational Resources Information Center

Gillett, Jill N.; LeBlanc, Linda A.

2007-01-01

Three parents of children with autism were taught to implement the Natural Language Paradigm (NLP). Data were collected on parent implementation, multiple measures of child language, and play. The parents were able to learn to implement the NLP procedures quickly and accurately with beneficial results for their children. Increases in the overall…

Beliefs about Language Learning in Study Abroad: Advocating for a Language Ideology Approach

ERIC Educational Resources Information Center

Surtees, Victoria

2016-01-01

Study Abroad (SA) has long enjoyed the unquestioning support of the general public, governments, and its benefits for language learning in many ways have been naturalized as "common sense" (Twombly et al., 2012). Language ideology scholars would say that this naturalization itself is indication that there are strong ideological forces at…

Thought beyond language: neural dissociation of algebra and natural language.

PubMed

Monti, Martin M; Parsons, Lawrence M; Osherson, Daniel N

2012-08-01

A central question in cognitive science is whether natural language provides combinatorial operations that are essential to diverse domains of thought. In the study reported here, we addressed this issue by examining the role of linguistic mechanisms in forging the hierarchical structures of algebra. In a 3-T functional MRI experiment, we showed that processing of the syntax-like operations of algebra does not rely on the neural mechanisms of natural language. Our findings indicate that processing the syntax of language elicits the known substrate of linguistic competence, whereas algebraic operations recruit bilateral parietal brain regions previously implicated in the representation of magnitude. This double dissociation argues against the view that language provides the structure of thought across all cognitive domains.

Applications of Java and Vector Graphics to Astrophysical Visualization

NASA Astrophysics Data System (ADS)

Edirisinghe, D.; Budiardja, R.; Chae, K.; Edirisinghe, G.; Lingerfelt, E.; Guidry, M.

2002-12-01

We describe a series of projects utilizing the portability of Java programming coupled with the compact nature of vector graphics (SVG and SWF formats) for setup and control of calculations, local and collaborative visualization, and interactive 2D and 3D animation presentations in astrophysics. Through a set of examples, we demonstrate how such an approach can allow efficient and user-friendly control of calculations in compiled languages such as Fortran 90 or C++ through portable graphical interfaces written in Java, and how the output of such calculations can be packaged in vector-based animation having interactive controls and extremely high visual quality, but very low bandwidth requirements.

The neurobiology of syntax: beyond string sets.

PubMed

Petersson, Karl Magnus; Hagoort, Peter

2012-07-19

The human capacity to acquire language is an outstanding scientific challenge to understand. Somehow our language capacities arise from the way the human brain processes, develops and learns in interaction with its environment. To set the stage, we begin with a summary of what is known about the neural organization of language and what our artificial grammar learning (AGL) studies have revealed. We then review the Chomsky hierarchy in the context of the theory of computation and formal learning theory. Finally, we outline a neurobiological model of language acquisition and processing based on an adaptive, recurrent, spiking network architecture. This architecture implements an asynchronous, event-driven, parallel system for recursive processing. We conclude that the brain represents grammars (or more precisely, the parser/generator) in its connectivity, and its ability for syntax is based on neurobiological infrastructure for structured sequence processing. The acquisition of this ability is accounted for in an adaptive dynamical systems framework. Artificial language learning (ALL) paradigms might be used to study the acquisition process within such a framework, as well as the processing properties of the underlying neurobiological infrastructure. However, it is necessary to combine and constrain the interpretation of ALL results by theoretical models and empirical studies on natural language processing. Given that the faculty of language is captured by classical computational models to a significant extent, and that these can be embedded in dynamic network architectures, there is hope that significant progress can be made in understanding the neurobiology of the language faculty.

The neurobiology of syntax: beyond string sets

PubMed Central

Petersson, Karl Magnus; Hagoort, Peter

2012-01-01

The human capacity to acquire language is an outstanding scientific challenge to understand. Somehow our language capacities arise from the way the human brain processes, develops and learns in interaction with its environment. To set the stage, we begin with a summary of what is known about the neural organization of language and what our artificial grammar learning (AGL) studies have revealed. We then review the Chomsky hierarchy in the context of the theory of computation and formal learning theory. Finally, we outline a neurobiological model of language acquisition and processing based on an adaptive, recurrent, spiking network architecture. This architecture implements an asynchronous, event-driven, parallel system for recursive processing. We conclude that the brain represents grammars (or more precisely, the parser/generator) in its connectivity, and its ability for syntax is based on neurobiological infrastructure for structured sequence processing. The acquisition of this ability is accounted for in an adaptive dynamical systems framework. Artificial language learning (ALL) paradigms might be used to study the acquisition process within such a framework, as well as the processing properties of the underlying neurobiological infrastructure. However, it is necessary to combine and constrain the interpretation of ALL results by theoretical models and empirical studies on natural language processing. Given that the faculty of language is captured by classical computational models to a significant extent, and that these can be embedded in dynamic network architectures, there is hope that significant progress can be made in understanding the neurobiology of the language faculty. PMID:22688633

Evidential Authorization*

NASA Astrophysics Data System (ADS)

Blass, Andreas; Gurevich, Yuri; Moskal, Michał; Neeman, Itay

Consider interaction of principals where each principal has its own policy and different principals may not trust each other. In one scenario the principals could be pharmaceutical companies, hospitals, biomedical labs and health related government institutions. In another scenario principals could be navy fleets of different and not necessarily friendly nations. In spite of the complexity of interaction, one may want to ensure that certain properties remain invariant. For example, in the navy scenario, each fleet should have enough information from other fleets to avoid unfortunate incidents. Furthermore, one wants to use automated provers to prove invariance. A natural approach to this and many other important problems is to provide a high-level logic-based language for the principals to communicate. We do just that. Three years ago two of us presented the first incarnation of Distributed Knowledge Authorization Language (DKAL). Here we present a new and much different incarnation of DKAL that we call Evidential DKAL. Statements communicated in Evidential DKAL are supposed to be accompanied with sufficient justifications. In general, we construe the term “authorization” in the acronym “DKAL” rather liberally; DKAL is essentially a general policy language. There is a wide spectrum of potential applications of KAL. One ambitious goal is to provide a framework for establishing and maintaining invariants.

Language Mediation in an L3 Classroom: The Role of Task Modalities and Task Types

ERIC Educational Resources Information Center

Payant, Caroline; Kim, YouJin

2015-01-01

Pedagogical tasks in language learning settings promote learner-learner interaction and provide second language (L2) learners with opportunities to process authentic input and produce output (Philp, Adams, & Iwashita, 2014). During these interactions, learners use their language repertoire to mediate their output (Swain & Lapkin, 2000).…

English Language Teacher Educator Interactional Styles: Heterogeneity and Homogeneity in the ELTE Classroom

ERIC Educational Resources Information Center

Lucero, Edgar; Scalante-Morales, Jeesica

2018-01-01

This article presents a research study on the interactional styles of teacher educators in the English language teacher education classroom. Two research methodologies, ethnomethodological conversation analysis and self-evaluation of teacher talk were applied to analyze 34 content- and language-based classes of nine English language teacher…

Developing Interactional Awareness in the Second Language Classroom through Teacher Self-Evaluation

ERIC Educational Resources Information Center

Walsh, Steve

2003-01-01

This paper proposes a process model of reflective practice for second language teachers, designed to facilitate a closer understanding of language use and interactive decision-making. The L2 classroom is portrayed as a dynamic and complex series of inter-related contexts, in which interaction is central to teaching and learning. An understanding…

Image-Language Interaction in Online Reading Environments: Challenges for Students' Reading Comprehension

ERIC Educational Resources Information Center

Chan, Eveline; Unsworth, Len

2011-01-01

This paper presents the qualitative results of a study of students' reading of multimodal texts in an interactive, online environment. The study forms part of a larger project which addressed image-language interaction as an important dimension of language pedagogy and assessment for students growing up in a multimedia digital age. Thirty-two Year…

Using Conversation Analysis in the Second Language Classroom to Teach Interactional Competence

ERIC Educational Resources Information Center

Barraja-Rohan, Anne-Marie

2011-01-01

This article focuses on the use of conversation analysis (CA) to help teaching interactional competence in English to adult second language learners from lower to intermediate levels. To set the context, this article gives a brief overview on the use of CA in second language research as well as considering the construct of interactional competence…

Beyond mechanistic interaction: value-based constraints on meaning in language.

PubMed

Rączaszek-Leonardi, Joanna; Nomikou, Iris

2015-01-01

According to situated, embodied, and distributed approaches to cognition, language is a crucial means for structuring social interactions. Recent approaches that emphasize this coordinative function treat language as a system of replicable constraints on individual and interactive dynamics. In this paper, we argue that the integration of the replicable-constraints approach to language with the ecological view on values allows for a deeper insight into processes of meaning creation in interaction. Such a synthesis of these frameworks draws attention to important sources of structuring interactions beyond the sheer efficiency of a collective system in its current task situation. Most importantly, the workings of linguistic constraints will be shown as embedded in more general fields of values, which are realized on multiple timescales. Because the ontogenetic timescale offers a convenient window into the emergence of linguistic constraints, we present illustrations of concrete mechanisms through which values may become embodied in language use in development.

A Within-subjects Experimental Protocol to Assess the Effects of Social Input on Infant EEG.

PubMed

St John, Ashley M; Kao, Katie; Chita-Tegmark, Meia; Liederman, Jacqueline; Grieve, Philip G; Tarullo, Amanda R

2017-05-03

Despite the importance of social interactions for infant brain development, little research has assessed functional neural activation while infants socially interact. Electroencephalography (EEG) power is an advantageous technique to assess infant functional neural activation. However, many studies record infant EEG only during one baseline condition. This protocol describes a paradigm that is designed to comprehensively assess infant EEG activity in both social and nonsocial contexts as well as tease apart how different types of social inputs differentially relate to infant EEG. The within-subjects paradigm includes four controlled conditions. In the nonsocial condition, infants view objects on computer screens. The joint attention condition involves an experimenter directing the infant's attention to pictures. The joint attention condition includes three types of social input: language, face-to-face interaction, and the presence of joint attention. Differences in infant EEG between the nonsocial and joint attention conditions could be due to any of these three types of input. Therefore, two additional conditions (one with language input while the experimenter is hidden behind a screen and one with face-to-face interaction) were included to assess the driving contextual factors in patterns of infant neural activation. Representative results demonstrate that infant EEG power varied by condition, both overall and differentially by brain region, supporting the functional nature of infant EEG power. This technique is advantageous in that it includes conditions that are clearly social or nonsocial and allows for examination of how specific types of social input relate to EEG power. This paradigm can be used to assess how individual differences in age, affect, socioeconomic status, and parent-infant interaction quality relate to the development of the social brain. Based on the demonstrated functional nature of infant EEG power, future studies should consider the role of EEG recording context and design conditions that are clearly social or nonsocial.

Linguistics and Information Science

ERIC Educational Resources Information Center

Montgomery, Christine A.

1972-01-01

This paper defines the relationship between linguistics and information science in terms of a common interest in natural language. The concept of a natural language information system is introduced as a framework for reviewing automated language processing efforts by computational linguists and information scientists. (96 references) (Author)

Electronic Mail and Organizational Knowledge: Media use in a Global Corporation

DTIC Science & Technology

1993-12-01

in a message , without subjecting these marginal parties to the burdens of interruption and information overload. Thi2 d:.-~ , for Publicý QPP’Oved...richness: (a) the availability of instant feedback, (b) the capacity of the medium to transmit multiple cues, (c) the use of natural language, and (d) the...complex, emotional , and social interaction. Both the media richness and social presence theories lead to a congruency hypothesis that people whose jobs

The Exploring Nature of Definitions and Classifications of Language Learning Strategies (LLSs) in the Current Studies of Second/Foreign Language Learning

ERIC Educational Resources Information Center

Fazeli, Seyed Hossein

2011-01-01

This study aims to explore the nature of definitions and classifications of Language Learning Strategies (LLSs) in the current studies of second/foreign language learning in order to show the current problems regarding such definitions and classifications. The present study shows that there is not a universal agreeable definition and…

Interactional Competence in Japanese as an Additional Language. Pragmatics & Interaction. Volume 4

ERIC Educational Resources Information Center

Greer, Tim, Ed.; Ishida, Midori, Ed.; Tateyama, Yumiko, Ed.

2017-01-01

In the research literature on interactional competence in talk among second language speakers and their coparticipants, this volume of "Pragmatics & Interaction" is the first to focus on interaction in Japanese. The chapters examine the use and development of interactional practices in a wide range of social settings, from everyday…

The Practical Side of Working with Parent-Child Interaction Therapy with Preschool Children with Language Impairments

ERIC Educational Resources Information Center

Klatte, Inge S.; Roulstone, Sue

2016-01-01

A common early intervention approach for preschool children with language problems is parent-child interaction therapy (PCIT). PCIT has positive effects for children with expressive language problems. It appears that speech and language therapists (SLTs) conduct this therapy in many different ways. This might be because of the variety of…

Classroom Interaction in Teaching English as Foreign Language at Lower Secondary Schools in Indonesia

ERIC Educational Resources Information Center

Sundari, Hanna

2017-01-01

The aim of this study was to develop a deep understanding of interaction in language classroom in foreign language context. Interviews, as major instrument, to twenty experienced English language teachers from eight lower secondary schools (SMP) were conducted in Jakarta, completed by focus group discussions and class observation/recordings. The…

Interaction of Language Processing and Motor Skill in Children with Specific Language Impairment

ERIC Educational Resources Information Center

DiDonato Brumbach, Andrea C.; Goffman, Lisa

2014-01-01

Purpose: To examine how language production interacts with speech motor and gross and fine motor skill in children with specific language impairment (SLI). Method: Eleven children with SLI and 12 age-matched peers (4-6 years) produced structurally primed sentences containing particles and prepositions. Utterances were analyzed for errors and for…

Maternal Communicative Behaviours and Interaction Quality as Predictors of Language Development: Findings from a Community-Based Study of Slow-to-Talk Toddlers

ERIC Educational Resources Information Center

Conway, Laura J.; Levickis, Penny A.; Smith, Jodie; Mensah, Fiona; Wake, Melissa; Reilly, Sheena

2018-01-01

Background: Identifying risk and protective factors for language development informs interventions for children with developmental language disorder (DLD). Maternal responsive and intrusive communicative behaviours are associated with language development. Mother-child interaction quality may influence how children use these behaviours in language…

Using a Humanoid Robot to Develop a Dialogue-Based Interactive Learning Environment for Elementary Foreign Language Classrooms

ERIC Educational Resources Information Center

Chang, Chih-Wei; Chen, Gwo-Dong

2010-01-01

Elementary school is the critical stage during which the development of listening comprehension and oral abilities in language acquisition occur, especially with a foreign language. However, the current foreign language instructors often adopt one-way teaching, and the learning environment lacks any interactive instructional media with which to…

The Pathway Active Learning Environment: An interactive web-based tool for physics education

NASA Astrophysics Data System (ADS)

Nakamura, Christopher Matthew

The work described here represents an effort to design, construct, and test an interactive online multimedia learning environment that can provide physics instruction to students in their homes. The system was designed with one-on-one human tutoring in mind as the mode of instruction. The system uses an original combination of a video-based tutor that incorporates natural language processing video-centered lessons and additional illustrative multimedia. Our Synthetic Interview (SI) tutor provides pre-recorded video answers from expert physics instructors in response to students' typed natural language questions. Our lessons cover Newton's laws and provide a context for the tutoring interaction to occur, connect physics ideas to real-world behavior of mechanical systems, and allow for quantitative testing of physics. Additional multimedia can be used to supplement the SI tutors' explanations and illustrate the physics of interest. The system is targeted at students of algebra-based and concept-based physics at the college and high school level. The system logs queries to the SI tutor, responses to lesson questions and several other interactions with the system, tagging those interactions with a username and timestamp. We have provided several groups of students with access to our system under several different conditions ranging from the controlled conditions of our interview facility to the naturalistic conditions of use at home. In total nearly two-hundred students have accessed the system. To gain insight into the ways students might use the system and understand the utility of its various components we analyzed qualitative interview data collected with 22 algebra-based physics students who worked with our system in our interview facility. We also performed a descriptive analysis of data from the system's log of user interactions. Finally we explored the use of machine learning to explore the possibility of using automated assessment to augment the interactive capabilities of the system as well as to identify productive and unproductive use patterns. This work establishes a proof-of-concept level demonstration of the feasibility of deploying this type of system. The impact of this work and the possibility of future research efforts are discussed in the context of Internet technologies that are changing rapidly.

Learner Agency and Its Effect on Spoken Interaction Time in the Target Language

ERIC Educational Resources Information Center

Knight, Janine; Barberà, Elena

2017-01-01

This paper presents the results of how four dyads in an online task-based synchronous computer-mediated (TB-SCMC) interaction event use their agency to carry out speaking tasks, and how their choices and actions affect time spent interacting in the target language. A case study approach was employed to analyse the language functions and cognitive…

The Model of Forming Communicative Competence of Students in the Process of Teaching the English Language

ERIC Educational Resources Information Center

Fahrutdinova, Rezida A.; Fahrutdinov, Rifat R.; Yusupov, Rinat N.

2016-01-01

The relevance of the topic is specified by the necessity of forming the communicative competence of students in the process of teaching of the English language in the institute of higher education. This article is intended to define interactive methods of teaching foreign language, which are based on interactive conception of interaction between…

Interactivity in the Teaching and Learning of Foreign Languages: What It Means for Resourcing and Delivery of Online and Blended Programmes

ERIC Educational Resources Information Center

Tudini, Vincenza

2018-01-01

University students who enrol in foreign language (FL) programmes are motivated by various needs, but in particular the need to achieve communicative fluency, which generally requires interaction with others. This study therefore explores the notion of 'interactivity,' as conceptualised in second language learning theories and how it might be…

A Study of Multimodal Discourse in the Design of Interactive Digital Material for Language Learning

ERIC Educational Resources Information Center

Burset, Silvia; Bosch, Emma; Pujolà, Joan-Tomàs

2016-01-01

This study analyses some published interactive materials for the learning of Spanish as a f?irst language and English as a Foreign Language (EFL) commonly used in primary and secondary education in Spain. The present investigation looks into the relationships between text and image on the interface of Interactive Digital Material (IDM) to develop…

The Use of Computer-Based Simulation to Aid Comprehension and Incidental Vocabulary Learning

ERIC Educational Resources Information Center

Mohsen, Mohammed Ali

2016-01-01

One of the main issues in language learning is to find ways to enable learners to interact with the language input in an involved task. Given that computer-based simulation allows learners to interact with visual modes, this article examines how the interaction of students with an online video simulation affects their second language video…

Community-based early intervention for language delay: a preliminary investigation.

PubMed

Ciccone, Natalie; Hennessey, Neville; Stokes, Stephanie F

2012-01-01

A trial parent-focused early intervention (PFEI) programme for children with delayed language development is reported in which current research evidence was translated and applied within the constraints of available of clinical resources. The programme, based at a primary school, was run by a speech-language pathologist with speech-language pathology students. To investigate the changes in child language development and parent and child interactions following attendance at the PFEI. Eighteen parents and their children attended six, weekly group sessions in which parents were provided with strategies to maximize language learning in everyday contexts. Pre- and post-programme assessments of vocabulary size and measures of parent-child interaction were collected. Parents and children significantly increased their communicative interactions from pre- to post-treatment. Children's expressive vocabulary size and language skills increased significantly. Large-effect sizes were observed. The positive outcomes of the intervention programme contribute to the evidence base of intervention strategies and forms of service delivery for children at risk of language delay. © 2012 Royal College of Speech and Language Therapists.

A System for Natural Language Sentence Generation.

ERIC Educational Resources Information Center

Levison, Michael; Lessard, Gregory

1992-01-01

Describes the natural language computer program, "Vinci." Explains that using an attribute grammar formalism, Vinci can simulate components of several current linguistic theories. Considers the design of the system and its applications in linguistic modelling and second language acquisition research. Notes Vinci's uses in linguistics…

Neural Network Computing and Natural Language Processing.

ERIC Educational Resources Information Center

Borchardt, Frank

1988-01-01

Considers the application of neural network concepts to traditional natural language processing and demonstrates that neural network computing architecture can: (1) learn from actual spoken language; (2) observe rules of pronunciation; and (3) reproduce sounds from the patterns derived by its own processes. (Author/CB)

Social Interaction in Infants' Learning of Second-Language Phonetics: An Exploration of Brain-Behavior Relations.

PubMed

Conboy, Barbara T; Brooks, Rechele; Meltzoff, Andrew N; Kuhl, Patricia K

2015-01-01

Infants learn phonetic information from a second language with live-person presentations, but not television or audio-only recordings. To understand the role of social interaction in learning a second language, we examined infants' joint attention with live, Spanish-speaking tutors and used a neural measure of phonetic learning. Infants' eye-gaze behaviors during Spanish sessions at 9.5-10.5 months of age predicted second-language phonetic learning, assessed by an event-related potential measure of Spanish phoneme discrimination at 11 months. These data suggest a powerful role for social interaction at the earliest stages of learning a new language.

The nature of the language input affects brain activation during learning from a natural language

PubMed Central

Plante, Elena; Patterson, Dianne; Gómez, Rebecca; Almryde, Kyle R.; White, Milo G.; Asbjørnsen, Arve E.

2015-01-01

Artificial language studies have demonstrated that learners are able to segment individual word-like units from running speech using the transitional probability information. However, this skill has rarely been examined in the context of natural languages, where stimulus parameters can be quite different. In this study, two groups of English-speaking learners were exposed to Norwegian sentences over the course of three fMRI scans. One group was provided with input in which transitional probabilities predicted the presence of target words in the sentences. This group quickly learned to identify the target words and fMRI data revealed an extensive and highly dynamic learning network. These results were markedly different from activation seen for a second group of participants. This group was provided with highly similar input that was modified so that word learning based on syllable co-occurrences was not possible. These participants showed a much more restricted network. The results demonstrate that the nature of the input strongly influenced the nature of the network that learners employ to learn the properties of words in a natural language. PMID:26257471

Sociolinguistic Typology and Sign Languages

PubMed Central

Schembri, Adam; Fenlon, Jordan; Cormier, Kearsy; Johnston, Trevor

2018-01-01

This paper examines the possible relationship between proposed social determinants of morphological ‘complexity’ and how this contributes to linguistic diversity, specifically via the typological nature of the sign languages of deaf communities. We sketch how the notion of morphological complexity, as defined by Trudgill (2011), applies to sign languages. Using these criteria, sign languages appear to be languages with low to moderate levels of morphological complexity. This may partly reflect the influence of key social characteristics of communities on the typological nature of languages. Although many deaf communities are relatively small and may involve dense social networks (both social characteristics that Trudgill claimed may lend themselves to morphological ‘complexification’), the picture is complicated by the highly variable nature of the sign language acquisition for most deaf people, and the ongoing contact between native signers, hearing non-native signers, and those deaf individuals who only acquire sign languages in later childhood and early adulthood. These are all factors that may work against the emergence of morphological complexification. The relationship between linguistic typology and these key social factors may lead to a better understanding of the nature of sign language grammar. This perspective stands in contrast to other work where sign languages are sometimes presented as having complex morphology despite being young languages (e.g., Aronoff et al., 2005); in some descriptions, the social determinants of morphological complexity have not received much attention, nor has the notion of complexity itself been specifically explored. PMID:29515506

Natural language generation of surgical procedures.

PubMed

Wagner, J C; Rogers, J E; Baud, R H; Scherrer, J R

1999-01-01

A number of compositional Medical Concept Representation systems are being developed. Although these provide for a detailed conceptual representation of the underlying information, they have to be translated back to natural language for used by end-users and applications. The GALEN programme has been developing one such representation and we report here on a tool developed to generate natural language phrases from the GALEN conceptual representations. This tool can be adapted to different source modelling schemes and to different destination languages or sublanguages of a domain. It is based on a multilingual approach to natural language generation, realised through a clean separation of the domain model from the linguistic model and their link by well defined structures. Specific knowledge structures and operations have been developed for bridging between the modelling 'style' of the conceptual representation and natural language. Using the example of the scheme developed for modelling surgical operative procedures within the GALEN-IN-USE project, we show how the generator is adapted to such a scheme. The basic characteristics of the surgical procedures scheme are presented together with the basic principles of the generation tool. Using worked examples, we discuss the transformation operations which change the initial source representation into a form which can more directly be translated to a given natural language. In particular, the linguistic knowledge which has to be introduced--such as definitions of concepts and relationships is described. We explain the overall generator strategy and how particular transformation operations are triggered by language-dependent and conceptual parameters. Results are shown for generated French phrases corresponding to surgical procedures from the urology domain.

Interaction and Communication of Agents in Networks and Language Complexity Estimates

NASA Technical Reports Server (NTRS)

Smid, Jan; Obitko, Marek; Fisher, David; Truszkowski, Walt

2004-01-01

Knowledge acquisition and sharing are arguably the most critical activities of communicating agents. We report about our on-going project featuring knowledge acquisition and sharing among communicating agents embedded in a network. The applications we target range from hardware robots to virtual entities such as internet agents. Agent experiments can be simulated using a convenient simulation language. We analyzed the complexity of communicating agent simulations using Java and Easel. Scenarios we have studied are listed below. The communication among agents can range from declarative queries to sub-natural language queries. 1) A set of agents monitoring an object are asked to build activity profiles based on exchanging elementary observations; 2) A set of car drivers form a line, where every car is following its predecessor. An unsafe distance cm create a strong wave in the line. Individual agents are asked to incorporate and apply directions how to avoid the wave. 3) A set of micro-vehicles form a grid and are asked to propagate information and concepts to a central server.

A Complex Network Approach to Stylometry

PubMed Central

Amancio, Diego Raphael

2015-01-01

Statistical methods have been widely employed to study the fundamental properties of language. In recent years, methods from complex and dynamical systems proved useful to create several language models. Despite the large amount of studies devoted to represent texts with physical models, only a limited number of studies have shown how the properties of the underlying physical systems can be employed to improve the performance of natural language processing tasks. In this paper, I address this problem by devising complex networks methods that are able to improve the performance of current statistical methods. Using a fuzzy classification strategy, I show that the topological properties extracted from texts complement the traditional textual description. In several cases, the performance obtained with hybrid approaches outperformed the results obtained when only traditional or networked methods were used. Because the proposed model is generic, the framework devised here could be straightforwardly used to study similar textual applications where the topology plays a pivotal role in the description of the interacting agents. PMID:26313921

Bengali-English Relevant Cross Lingual Information Access Using Finite Automata

NASA Astrophysics Data System (ADS)

Banerjee, Avishek; Bhattacharyya, Swapan; Hazra, Simanta; Mondal, Shatabdi

2010-10-01

CLIR techniques searches unrestricted texts and typically extract term and relationships from bilingual electronic dictionaries or bilingual text collections and use them to translate query and/or document representations into a compatible set of representations with a common feature set. In this paper, we focus on dictionary-based approach by using a bilingual data dictionary with a combination to statistics-based methods to avoid the problem of ambiguity also the development of human computer interface aspects of NLP (Natural Language processing) is the approach of this paper. The intelligent web search with regional language like Bengali is depending upon two major aspect that is CLIA (Cross language information access) and NLP. In our previous work with IIT, KGP we already developed content based CLIA where content based searching in trained on Bengali Corpora with the help of Bengali data dictionary. Here we want to introduce intelligent search because to recognize the sense of meaning of a sentence and it has a better real life approach towards human computer interactions.

State of the Art of Natural Language Processing

DTIC Science & Technology

1987-11-15

work of Chomsky , Hewlett-Packard, Generalized Phase Structure Grammar . D. Lunar, DARPA speech understanding, Schank’s Conceptual Dependency Theory...of computers that a machine which understood natural languages was highly desirable. It also was evident from the work of Chomsky * and others that...computers. ♦Noam Chomsky , Aspects of the Theory of Syntax (Cambridge, Mass.: MIT Press, 1965). -A- One of the earliest attempts at Natural Language

Language and Cognition Interaction Neural Mechanisms

PubMed Central

Perlovsky, Leonid

2011-01-01

How language and cognition interact in thinking? Is language just used for communication of completed thoughts, or is it fundamental for thinking? Existing approaches have not led to a computational theory. We develop a hypothesis that language and cognition are two separate but closely interacting mechanisms. Language accumulates cultural wisdom; cognition develops mental representations modeling surrounding world and adapts cultural knowledge to concrete circumstances of life. Language is acquired from surrounding language “ready-made” and therefore can be acquired early in life. This early acquisition of language in childhood encompasses the entire hierarchy from sounds to words, to phrases, and to highest concepts existing in culture. Cognition is developed from experience. Yet cognition cannot be acquired from experience alone; language is a necessary intermediary, a “teacher.” A mathematical model is developed; it overcomes previous difficulties and leads to a computational theory. This model is consistent with Arbib's “language prewired brain” built on top of mirror neuron system. It models recent neuroimaging data about cognition, remaining unnoticed by other theories. A number of properties of language and cognition are explained, which previously seemed mysterious, including influence of language grammar on cultural evolution, which may explain specifics of English and Arabic cultures. PMID:21876687

Subgroups in Language Trajectories from 4 to 11 Years: The Nature and Predictors of Stable, Improving and Decreasing Language Trajectory Groups

ERIC Educational Resources Information Center

McKean, Cristina; Wraith, Darren; Eadie, Patricia; Cook, Fallon; Mensah, Fiona; Reilly, Sheena

2017-01-01

Background: Little is known about the nature, range and prevalence of different subgroups in language trajectories extant in a population from 4 to 11 years. This hinders strategic targeting and design of interventions, particularly targeting those whose difficulties will likely persist. Methods: Children's language abilities from 4 to 11 years…

Language Teaching with the Help of Multiple Methods. Collection d'"Etudes linguistiques," No. 21.

ERIC Educational Resources Information Center

Nivette, Jos, Ed.

This book presents articles on language teaching media. Among the titles are: (1) "Il Foreign Language Teaching e l'impiego degli audio-visivi" (Foreign Language Teaching and the Use of Audio Visual Methods) by D'Agostino, (2) "Le role et la nature de l'image dans l'enseignement programme de l'anglais, langue seconde" (The Role and Nature of the…

Apprentissage naturel et apprentissage guide (Natural Learning and Guided Learning).

ERIC Educational Resources Information Center

Veronique, Daniel

1984-01-01

Although second language pedagogy has tended increasingly toward simulation, role-playing, and natural communication, it has not profited from existing research on natural learning in second languages. The emphasis should be on understanding how the processes of guided learning and natural learning differ, psychologically and sociologically, and…

Analysis of the English morphology by semantic networks

NASA Astrophysics Data System (ADS)

Žáček, Martin; Homola, Dan

2017-11-01

The article is devoted to study the morphology of natural language, in this case English language. The research is of the language is from the perspective of knowledge representation, when we look at the word as a concept in the Concept languages. The research is in the relationship of the individual words and their classification in the sentence. For the analysis there are used several methods (syntax, lexical categories, morphology). This article focuses mainly on the word, as the foundation of every natural language (English).

Caregiver-Child Verbal Interactions in Child Care: A Buffer against Poor Language Outcomes when Maternal Language Input is Less

PubMed Central

Vernon-Feagans, Lynne; Bratsch-Hines, Mary E.

2013-01-01

Recent research has suggested that high quality child care can buffer young children against poorer cognitive and language outcomes when they are at risk for poorer language and readiness skills. Most of this research measured the quality of parenting and the quality of the child care with global observational measures or rating scales that did not specify the exact maternal or caregiver behaviors that might be causally implicated in the buffering of these children from poor outcomes. The current study examined the actual language by the mother to her child in the home and the verbal interactions between the caregiver and child in the child care setting that might be implicated in the buffering effect of high quality childcare. The sample included 433 rural children from the Family Life Project who were in child care at 36 months of age. Even after controlling for a variety of covariates, including maternal education, income, race, child previous skill, child care type, the overall quality of the home and quality of the child care environment; observed positive caregiver-child verbal interactions in the child care setting interacted with the maternal language complexity and diversity in predicting children’s language development. Caregiver-child positive verbal interactions appeared to buffer children from poor language outcomes concurrently and two years later if children came from homes where observed maternal language complexity and diversity during a picture book task was less. PMID:24634566

Young Learners' Interactional Development in Task-Based Paired-Assessment in Their First and Foreign Languages: A Case of English Learners in China

ERIC Educational Resources Information Center

Butler, Yuko Goto; Zeng, Wei

2015-01-01

In response to the growing interest in evaluating young learners' foreign language (FL) performance, this study aims to deepen our understanding of young learners' developmental differences in interaction during task-based paired-language assessments. To examine age effects separately from the effect of general language proficiency, we analysed…

Physical Interactive Game for Enhancing Language Cognitive Development of Thai Pre-Schooler

ERIC Educational Resources Information Center

Choosri, Noppon; Pookao, Chompoonut

2017-01-01

The intervention for cognitive language development is required to conduct at the young ages. As children usually gain the skill through their plays, this study proposed a physical interactive game to help children improve their language skill in both Thai and English language for pre-schooler. The motivation of this research is to create a game…

Language-Building Activities and Interaction Variations with Mixed-Ability ESL University Learners in a Content-Based Course

ERIC Educational Resources Information Center

Serna Dimas, Héctor Manuel; Ruíz Castellanos, Erika

2014-01-01

The preparation of both language-building activities and a variety of teacher/student interaction patterns increase both oral language participation and content learning in a course of manual therapy with mixed-language ability students. In this article, the researchers describe their collaboration in a content-based course in English with English…

The Temporal Structure of Spoken Language Understanding.

ERIC Educational Resources Information Center

Marslen-Wilson, William; Tyler, Lorraine Komisarjevsky

1980-01-01

An investigation of word-by-word time-course of spoken language understanding focused on word recognition and structural and interpretative processes. Results supported an online interactive language processing theory, in which lexical, structural, and interpretative knowledge sources communicate and interact during processing efficiently and…

American Group Discussion Patterns as Viewed by ESL Students: The Turn-Taking Behavior of Eight Chinese Students Studying in America.

ERIC Educational Resources Information Center

Lam, Clara

Research in the teaching of second/foreign languages has called for an emphasis on interactional competence, or the ability to think and behave as an interactional partner in a second language. The aim of this paper is to find out if the specific interactional skills acquired by students through their first language experience are automatically…

Reconciliation of ontology and terminology to cope with linguistics.

PubMed

Baud, Robert H; Ceusters, Werner; Ruch, Patrick; Rassinoux, Anne-Marie; Lovis, Christian; Geissbühler, Antoine

2007-01-01

To discuss the relationships between ontologies, terminologies and language in the context of Natural Language Processing (NLP) applications in order to show the negative consequences of confusing them. The viewpoints of the terminologist and (computational) linguist are developed separately, and then compared, leading to the presentation of reconciliation among these points of view, with consideration of the role of the ontologist. In order to encourage appropriate usage of terminologies, guidelines are presented advocating the simultaneous publication of pragmatic vocabularies supported by terminological material based on adequate ontological analysis. Ontologies, terminologies and natural languages each have their own purpose. Ontologies support machine understanding, natural languages support human communication, and terminologies should form the bridge between them. Therefore, future terminology standards should be based on sound ontology and do justice to the diversities in natural languages. Moreover, they should support local vocabularies, in order to be easily adaptable to local needs and practices.

Dynamical Systems in Psychology: Linguistic Approaches

NASA Astrophysics Data System (ADS)

Sulis, William

Major goals for psychoanalysis and psychology are the description, analysis, prediction, and control of behaviour. Natural language has long provided the medium for the formulation of our theoretical understanding of behavior. But with the advent of nonlinear dynamics, a new language has appeared which offers promise to provide a quantitative theory of behaviour. In this paper, some of the limitations of natural and formal languages are discussed. Several approaches to understanding the links between natural and formal languages, as applied to the study of behavior, are discussed. These include symbolic dynamics, Moore's generalized shifts, Crutchfield's ɛ machines, and dynamical automata.

Neurobiological, Cognitive, and Emotional Mechanisms in Melodic Intonation Therapy

PubMed Central

Merrett, Dawn L.; Peretz, Isabelle; Wilson, Sarah J.

2014-01-01

Singing has been used in language rehabilitation for decades, yet controversy remains over its effectiveness and mechanisms of action. Melodic Intonation Therapy (MIT) is the most well-known singing-based therapy; however, speculation surrounds when and how it might improve outcomes in aphasia and other language disorders. While positive treatment effects have been variously attributed to different MIT components, including melody, rhythm, hand-tapping, and the choral nature of the singing, there is uncertainty about the components that are truly necessary and beneficial. Moreover, the mechanisms by which the components operate are not well understood. Within the literature to date, proposed mechanisms can be broadly grouped into four categories: (1) neuroplastic reorganization of language function, (2) activation of the mirror neuron system and multimodal integration, (3) utilization of shared or specific features of music and language, and (4) motivation and mood. In this paper, we review available evidence for each mechanism and propose that these mechanisms are not mutually exclusive, but rather represent different levels of explanation, reflecting the neurobiological, cognitive, and emotional effects of MIT. Thus, instead of competing, each of these mechanisms may contribute to language rehabilitation, with a better understanding of their relative roles and interactions allowing the design of protocols that maximize the effectiveness of singing therapy for aphasia. PMID:24917811

PASTE: patient-centered SMS text tagging in a medication management system

PubMed Central

Johnson, Kevin B; Denny, Joshua C

2011-01-01

Objective To evaluate the performance of a system that extracts medication information and administration-related actions from patient short message service (SMS) messages. Design Mobile technologies provide a platform for electronic patient-centered medication management. MyMediHealth (MMH) is a medication management system that includes a medication scheduler, a medication administration record, and a reminder engine that sends text messages to cell phones. The object of this work was to extend MMH to allow two-way interaction using mobile phone-based SMS technology. Unprompted text-message communication with patients using natural language could engage patients in their healthcare, but presents unique natural language processing challenges. The authors developed a new functional component of MMH, the Patient-centered Automated SMS Tagging Engine (PASTE). The PASTE web service uses natural language processing methods, custom lexicons, and existing knowledge sources to extract and tag medication information from patient text messages. Measurements A pilot evaluation of PASTE was completed using 130 medication messages anonymously submitted by 16 volunteers via a website. System output was compared with manually tagged messages. Results Verified medication names, medication terms, and action terms reached high F-measures of 91.3%, 94.7%, and 90.4%, respectively. The overall medication name F-measure was 79.8%, and the medication action term F-measure was 90%. Conclusion Other studies have demonstrated systems that successfully extract medication information from clinical documents using semantic tagging, regular expression-based approaches, or a combination of both approaches. This evaluation demonstrates the feasibility of extracting medication information from patient-generated medication messages. PMID:21984605

Examining the literacy component of science literacy: 25 years of language arts and science research

NASA Astrophysics Data System (ADS)

Yore, Larry D.; Bisanz, Gay L.; Hand, Brian M.

2003-06-01

This review, written to celebrate the 25th anniversary of the International Journal of Science Education, revealed a period of changes in the theoretical views of the language arts, the perceived roles of language in science education, and the research approaches used to investigate oral and written language in science, science teaching, and learning. The early years were dominated by behavioralist and logico-mathematical interpretations of human learning and by reductionist research approaches, while the later years reflected an applied cognitive science and constructivist interpretations of learning and a wider array of research approaches that recognizes the holistic nature of teaching and learning. The early years focus on coding oral language into categories reflecting source of speech, functional purpose, level of question and response, reading research focused on the readability of textbooks using formulae and the reader's decoding skills, and writing research was not well documented since the advocates for writing in service of learning were grass roots practitioners and many science teachers were using writing as an evaluation technique. The advent of applied cognitive science and the constructivist perspectives ushered in interactive-constructive models of discourse, reading and writing that more clearly revealed the role of language in science and in science teaching and learning. A review of recent research revealed that the quantity and quality of oral interactions were low and unfocused in science classrooms; reading has expanded to consider comprehension strategies, metacognition, sources other than textbooks, and the design of inquiry environments for classrooms; and writing-to-learn science has focused on sequential writing tasks requiring transformation of ideas to enhance science learning. Several promising trends and future research directions flow from the synthesis of this 25-year period of examining the literacy component of science literacy - among them are critical listening and reading of various sources, multi-media presentations and representations, effective debate and argument, quality explanation and the role of information and communication technologies/environments.

Getting Answers to Natural Language Questions on the Web.

ERIC Educational Resources Information Center

Radev, Dragomir R.; Libner, Kelsey; Fan, Weiguo

2002-01-01

Describes a study that investigated the use of natural language questions on Web search engines. Highlights include query languages; differences in search engine syntax; and results of logistic regression and analysis of variance that showed aspects of questions that predicted significantly different performances, including the number of words,…

Structured Natural-Language Descriptions for Semantic Content Retrieval of Visual Materials.

ERIC Educational Resources Information Center

Tam, A. M.; Leung, C. H. C.

2001-01-01

Proposes a structure for natural language descriptions of the semantic content of visual materials that requires descriptions to be (modified) keywords, phrases, or simple sentences, with components that are grammatical relations common to many languages. This structure makes it easy to implement a collection's descriptions as a relational…

La Description des langues naturelles en vue d'applications linguistiques: Actes du colloque (The Description of Natural Languages with a View to Linguistic Applications: Conference Papers). Publication K-10.

ERIC Educational Resources Information Center

Ouellon, Conrad, Comp.

Presentations from a colloquium on applications of research on natural languages to computer science address the following topics: (1) analysis of complex adverbs; (2) parser use in computerized text analysis; (3) French language utilities; (4) lexicographic mapping of official language notices; (5) phonographic codification of Spanish; (6)…

Integrating a Natural Language Message Pre-Processor with UIMA

DTIC Science & Technology

2008-01-01

Carnegie Mellon Language Technologies Institute NL Message Preprocessing with UIMA Copyright © 2008, Carnegie Mellon. All Rights Reserved...Integrating a Natural Language Message Pre-Processor with UIMA Eric Nyberg, Eric Riebling, Richard C. Wang & Robert Frederking Language Technologies Institute...with UIMA 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK UNIT NUMBER

From Language Proficiency to Interactional Competence.

ERIC Educational Resources Information Center

Kramsch, Claire

1986-01-01

The American Council on the Teaching of Foreign Languages' guidelines for foreign language teaching and learning focus on the linear acquisition of grammatical structures, but this proficiency will not automatically lead to interactional competence. Enthusiasm generated by the proficiency movement should be redirected toward a push for…

Discussion Forum Interactions: Text and Context

ERIC Educational Resources Information Center

Montero, Begona; Watts, Frances; Garcia-Carbonell, Amparo

2007-01-01

Computer-mediated communication (CMC) is currently used in language teaching as a bridge for the development of written and spoken skills [Kern, R., 1995. "Restructuring classroom interaction with networked computers: effects on quantity and characteristics of language production." "The Modern Language Journal" 79, 457-476]. Within CMC…

Form-Focused Interaction in Online Tandem Learning

ERIC Educational Resources Information Center

O'Rourke, Breffni

2005-01-01

Tandem language learning--a configuration involving pairs of learners with complementary target/native languages--is an underexploited but potentially very powerful use of computer-mediated communication (CMC) in second-language pedagogy. Tandem offers the benefits of authentic, culturally grounded interaction, while also promoting a pedagogical…

Social Interaction in Infants’ Learning of Second-Language Phonetics: An Exploration of Brain-Behavior Relations

PubMed Central

Conboy, Barbara T.; Brooks, Rechele; Meltzoff, Andrew N.; Kuhl, Patricia K.

2015-01-01

Infants learn phonetic information from a second language with live-person presentations, but not television or audio-only recordings. To understand the role of social interaction in learning a second language, we examined infants’ joint attention with live, Spanish-speaking tutors and used a neural measure of phonetic learning. Infants’ eye-gaze behaviors during Spanish sessions at 9.5 – 10.5 months of age predicted second-language phonetic learning, assessed by an event-related potential (ERP) measure of Spanish phoneme discrimination at 11 months. These data suggest a powerful role for social interaction at the earliest stages of learning a new language. PMID:26179488

[Formula: see text]Associations among parent-child relationships and cognitive and language outcomes in a clinical sample of preschool children.

PubMed

Leiser, Kara; Heffelfinger, Amy; Kaugars, Astrida

2017-02-01

To examine associations among parent-child relationship characteristics and child cognitive and language outcomes. Preschool children (n = 72) with early neurological insult completed assessments of cognitive and language functioning and participated in a parent-child semi-structured interaction. Quality of the parent-child relationship accounted for a significant amount of unique variance (12%) in predicting children's overall cognitive and language functioning. Impact of neurological insult was a significant predictor. Caregiver-child interactions that are harmonious and reciprocal as evidenced by affective and/or verbal exchanges support children's cognitive and language development. Observations of interactions can guide providers in facilitating child- and family-centered interventions.

Augmentative and alternative communication in daily clinical practice: strategies and tools for management of severe communication disorders.

PubMed

Frankoff, Denise J; Hatfield, Brooke

2011-01-01

Research indicates that augmentative and alternative communication (AAC) approaches can be used effectively by patients and their caregivers to improve communication skills. This article highlights strategies and tools for re-establishing communication competence by considering the complexity and diversity of communication interactions in an effort to maximize natural speech and language skills via a range of technologies that are implemented across the continuum of care rather than as a last resort.

Natural Language Interactions with Artificial Experts

DTIC Science & Technology

1986-07-01

description. Such a belief is revealed when a noun phrase is used in particular con- texts. For example, for Q to ask the question “Which French ...majors failed CIS531 last term?” Q would have to believe that: 1) CIS531 was given last term, 2) there are French majors, and 3) there are French majors...the user’s part and responds accordingly; e.g., User: Which French majors failed CIS531 last term? System: I do not know of any French majors

Semantic Grammar: An Engineering Technique for Constructing Natural Language Understanding Systems.

ERIC Educational Resources Information Center

Burton, Richard R.

In an attempt to overcome the lack of natural means of communication between student and computer, this thesis addresses the problem of developing a system which can understand natural language within an educational problem-solving environment. The nature of the environment imposes efficiency, habitability, self-teachability, and awareness of…

Language Revitalization.

ERIC Educational Resources Information Center

Hinton, Leanne

2003-01-01

Surveys developments in language revitalization and language death. Focusing on indigenous languages, discusses the role and nature of appropriate linguistic documentation, possibilities for bilingual education, and methods of promoting oral fluency and intergenerational transmission in affected languages. (Author/VWL)

An Emergent Perspective on the Use of the First Language in the English-as-a-Foreign-Language Classroom

ERIC Educational Resources Information Center

Moore, Paul J.

2013-01-01

This study investigates contextual features surrounding the use of a first language (L1) in a Japanese university English-as-a-foreign-language (EFL) course during peer interaction in the extended preparation phase leading up to two oral presentation tasks (OP1 and OP3), performed seven months apart. Interaction data were analysed in terms of the…

On the development of an interactive resource information management system for analysis and display of spatiotemporal data

NASA Technical Reports Server (NTRS)

Schell, J. A.

1974-01-01

The recent availability of timely synoptic earth imagery from the Earth Resources Technology Satellites (ERTS) provides a wealth of information for the monitoring and management of vital natural resources. Formal language definitions and syntax interpretation algorithms were adapted to provide a flexible, computer information system for the maintenance of resource interpretation of imagery. These techniques are incorporated, together with image analysis functions, into an Interactive Resource Information Management and Analysis System, IRIMAS, which is implemented on a Texas Instruments 980A minicomputer system augmented with a dynamic color display for image presentation. A demonstration of system usage and recommendations for further system development are also included.

The Role of Context in the Development of Second Language Interactional Competence: A Comparative Microanalysis of Topic Initiation Practices in the Study Abroad Homestay and the Language Classroom

ERIC Educational Resources Information Center

Van Booven, Christopher D.

2017-01-01

This dissertation research aims to better specify the role of context in the development of second language interactional competence. Drawing on conversation-analytic methods and Wong and Waring's (2010) model of interactional practices, I described and compared the opportunities that two study abroad contexts--the homestay and the language…

Three-dimensional grammar in the brain: Dissociating the neural correlates of natural sign language and manually coded spoken language.

PubMed

Jednoróg, Katarzyna; Bola, Łukasz; Mostowski, Piotr; Szwed, Marcin; Boguszewski, Paweł M; Marchewka, Artur; Rutkowski, Paweł

2015-05-01

In several countries natural sign languages were considered inadequate for education. Instead, new sign-supported systems were created, based on the belief that spoken/written language is grammatically superior. One such system called SJM (system językowo-migowy) preserves the grammatical and lexical structure of spoken Polish and since 1960s has been extensively employed in schools and on TV. Nevertheless, the Deaf community avoids using SJM for everyday communication, its preferred language being PJM (polski język migowy), a natural sign language, structurally and grammatically independent of spoken Polish and featuring classifier constructions (CCs). Here, for the first time, we compare, with fMRI method, the neural bases of natural vs. devised communication systems. Deaf signers were presented with three types of signed sentences (SJM and PJM with/without CCs). Consistent with previous findings, PJM with CCs compared to either SJM or PJM without CCs recruited the parietal lobes. The reverse comparison revealed activation in the anterior temporal lobes, suggesting increased semantic combinatory processes in lexical sign comprehension. Finally, PJM compared with SJM engaged left posterior superior temporal gyrus and anterior temporal lobe, areas crucial for sentence-level speech comprehension. We suggest that activity in these two areas reflects greater processing efficiency for naturally evolved sign language. Copyright © 2015 Elsevier Ltd. All rights reserved.

Human-computer interaction for alert warning and attention allocation systems of the multimodal watchstation

NASA Astrophysics Data System (ADS)

Obermayer, Richard W.; Nugent, William A.

2000-11-01

The SPAWAR Systems Center San Diego is currently developing an advanced Multi-Modal Watchstation (MMWS); design concepts and software from this effort are intended for transition to future United States Navy surface combatants. The MMWS features multiple flat panel displays and several modes of user interaction, including voice input and output, natural language recognition, 3D audio, stylus and gestural inputs. In 1999, an extensive literature review was conducted on basic and applied research concerned with alerting and warning systems. After summarizing that literature, a human computer interaction (HCI) designer's guide was prepared to support the design of an attention allocation subsystem (AAS) for the MMWS. The resultant HCI guidelines are being applied in the design of a fully interactive AAS prototype. An overview of key findings from the literature review, a proposed design methodology with illustrative examples, and an assessment of progress made in implementing the HCI designers guide are presented.

Clinical Natural Language Processing in languages other than English: opportunities and challenges.

PubMed

Névéol, Aurélie; Dalianis, Hercules; Velupillai, Sumithra; Savova, Guergana; Zweigenbaum, Pierre

2018-03-30

Natural language processing applied to clinical text or aimed at a clinical outcome has been thriving in recent years. This paper offers the first broad overview of clinical Natural Language Processing (NLP) for languages other than English. Recent studies are summarized to offer insights and outline opportunities in this area. We envision three groups of intended readers: (1) NLP researchers leveraging experience gained in other languages, (2) NLP researchers faced with establishing clinical text processing in a language other than English, and (3) clinical informatics researchers and practitioners looking for resources in their languages in order to apply NLP techniques and tools to clinical practice and/or investigation. We review work in clinical NLP in languages other than English. We classify these studies into three groups: (i) studies describing the development of new NLP systems or components de novo, (ii) studies describing the adaptation of NLP architectures developed for English to another language, and (iii) studies focusing on a particular clinical application. We show the advantages and drawbacks of each method, and highlight the appropriate application context. Finally, we identify major challenges and opportunities that will affect the impact of NLP on clinical practice and public health studies in a context that encompasses English as well as other languages.

Electronic mail, a new written-language register: a study with French-speaking adolescents.

PubMed

Volckaert-Legrier, Olga; Bernicot, Josie; Bert-Erboul, Alain

2009-03-01

The aim of this study was to determine the extent to which the linguistic forms used by adolescents in electronic mail (e-mail) differ from those used in standard written language. The study was conducted in French, a language with a deep orthography that has strict, addressee-dependent rules for using second person personal pronouns (unfamiliar and familiar forms). Data were collected from 80 adolescents ages 12 to 15 in a natural situation where they had to introduce themselves by e-mail to two addressees (peer/teacher). Participants were divided into two groups (skilled/unskilled in computer-mediated communication). Their emails contained a large number of orthographic deviations (the most frequent being neographic forms). Participants skilled in computer-mediated communication (CMC) deviated more than unskilled ones did. The number of orthographic deviations was not linked to the participants' standard writing ability. The personal-pronoun data clearly showed that adolescents used the familiar form of 'you' (tu) to address the peer and the unfamiliar form (vous) to address the teacher. We conclude that, for adolescents, e-mail constitutes a distinct written-language register. Nevertheless, the e-mail register seems to follow the pragmatic rules of standard spoken and written interaction.

Cohort profile of the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register: current status and recent enhancement of an Electronic Mental Health Record-derived data resource.

PubMed

Perera, Gayan; Broadbent, Matthew; Callard, Felicity; Chang, Chin-Kuo; Downs, Johnny; Dutta, Rina; Fernandes, Andrea; Hayes, Richard D; Henderson, Max; Jackson, Richard; Jewell, Amelia; Kadra, Giouliana; Little, Ryan; Pritchard, Megan; Shetty, Hitesh; Tulloch, Alex; Stewart, Robert

2016-03-01

The South London and Maudsley National Health Service (NHS) Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register and its Clinical Record Interactive Search (CRIS) application were developed in 2008, generating a research repository of real-time, anonymised, structured and open-text data derived from the electronic health record system used by SLaM, a large mental healthcare provider in southeast London. In this paper, we update this register's descriptive data, and describe the substantial expansion and extension of the data resource since its original development. Descriptive data were generated from the SLaM BRC Case Register on 31 December 2014. Currently, there are over 250,000 patient records accessed through CRIS. Since 2008, the most significant developments in the SLaM BRC Case Register have been the introduction of natural language processing to extract structured data from open-text fields, linkages to external sources of data, and the addition of a parallel relational database (Structured Query Language) output. Natural language processing applications to date have brought in new and hitherto inaccessible data on cognitive function, education, social care receipt, smoking, diagnostic statements and pharmacotherapy. In addition, through external data linkages, large volumes of supplementary information have been accessed on mortality, hospital attendances and cancer registrations. Coupled with robust data security and governance structures, electronic health records provide potentially transformative information on mental disorders and outcomes in routine clinical care. The SLaM BRC Case Register continues to grow as a database, with approximately 20,000 new cases added each year, in addition to extension of follow-up for existing cases. Data linkages and natural language processing present important opportunities to enhance this type of research resource further, achieving both volume and depth of data. However, research projects still need to be carefully tailored, so that they take into account the nature and quality of the source information. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Interactions and Learning Outcomes in Online Language Courses

ERIC Educational Resources Information Center

Lin, Chin-Hsi; Zheng, Binbin; Zhang, Yining

2017-01-01

Interactions are the central emphasis in language learning. An increasing number of K-12 students take courses online, leading some critics to comment that reduced opportunities for interaction may affect learning outcomes. This study examined the relationship between online interactions and learning outcomes for 466 students who were taking…

Interactive Alignment: A Teaching-Friendly View of Second Language Pronunciation Learning

ERIC Educational Resources Information Center

Trofimovich, Pavel

2016-01-01

Interactive alignment is a phenomenon whereby interlocutors adopt and re-use each other's language patterns in the course of authentic interaction. According to the interactive alignment model, originally proposed by Pickering & Garrod (2004), this linguistic coordination is one way in which interlocutors achieve understanding in dialogue,…

Conversational sensemaking

NASA Astrophysics Data System (ADS)

Preece, Alun; Webberley, Will; Braines, Dave

2015-05-01

Recent advances in natural language question-answering systems and context-aware mobile apps create opportunities for improved sensemaking in a tactical setting. Users equipped with mobile devices act as both sensors (able to acquire information) and effectors (able to act in situ), operating alone or in collectives. The currently- dominant technical approaches follow either a pull model (e.g. Apple's Siri or IBM's Watson which respond to users' natural language queries) or a push model (e.g. Google's Now which sends notifications to a user based on their context). There is growing recognition that users need more flexible styles of conversational interaction, where they are able to freely ask or tell, be asked or told, seek explanations and clarifications. Ideally such conversations should involve a mix of human and machine agents, able to collaborate in collective sensemaking activities with as few barriers as possible. Desirable capabilities include adding new knowledge, collaboratively building models, invoking specific services, and drawing inferences. As a step towards this goal, we collect evidence from a number of recent pilot studies including natural experiments (e.g. situation awareness in the context of organised protests) and synthetic experiments (e.g. human and machine agents collaborating in information seeking and spot reporting). We identify some principles and areas of future research for "conversational sensemaking".

Paradigms of Evaluation in Natural Language Processing: Field Linguistics for Glass Box Testing

ERIC Educational Resources Information Center

Cohen, Kevin Bretonnel

2010-01-01

Although software testing has been well-studied in computer science, it has received little attention in natural language processing. Nonetheless, a fully developed methodology for glass box evaluation and testing of language processing applications already exists in the field methods of descriptive linguistics. This work lays out a number of…

Semantics of Context-Free Fragments of Natural Languages.

ERIC Educational Resources Information Center

Suppes, Patrick

The objective of this paper is to combine the viewpoint of model-theoretic semantics and generative grammar, to define semantics for context-free languages, and to apply the results to some fragments of natural language. Following the introduction in the first section, Section 2 describes a simple artificial example to illustrate how a semantic…

Development and Evaluation of a Thai Learning System on the Web Using Natural Language Processing.

ERIC Educational Resources Information Center

Dansuwan, Suyada; Nishina, Kikuko; Akahori, Kanji; Shimizu, Yasutaka

2001-01-01

Describes the Thai Learning System, which is designed to help learners acquire the Thai word order system. The system facilitates the lessons on the Web using HyperText Markup Language and Perl programming, which interfaces with natural language processing by means of Prolog. (Author/VWL)

Syntactic Complexity and Ambiguity Resolution in a Free Word Order Language: Behavioral and Electrophysiological Evidences from Basque

ERIC Educational Resources Information Center

Erdocia, Kepa; Laka, Itziar; Mestres-Misse, Anna; Rodriguez-Fornells, Antoni

2009-01-01

In natural languages some syntactic structures are simpler than others. Syntactically complex structures require further computation that is not required by syntactically simple structures. In particular, canonical, basic word order represents the simplest sentence-structure. Natural languages have different canonical word orders, and they vary in…

Ethical dilemmas experienced by speech-language pathologists working in private practice.

PubMed

Flatley, Danielle R; Kenny, Belinda J; Lincoln, Michelle A

2014-06-01

Speech-language pathologists experience ethical dilemmas as they fulfil their professional roles and responsibilities. Previous research findings indicated that speech-language pathologists working in publicly funded settings identified ethical dilemmas when they managed complex clients, negotiated professional relationships, and addressed service delivery issues. However, little is known about ethical dilemmas experienced by speech-language pathologists working in private practice settings. The aim of this qualitative study was to describe the nature of ethical dilemmas experienced by speech-language pathologists working in private practice. Data were collected through semi-structured interviews with 10 speech-language pathologists employed in diverse private practice settings. Participants explained the nature of ethical dilemmas they experienced at work and identified their most challenging and frequently occurring ethical conflicts. Qualitative content analysis was used to analyse transcribed data and generate themes. Four themes reflected the nature of speech-language pathologists' ethical dilemmas; balancing benefit and harm, fidelity of business practices, distributing funds, and personal and professional integrity. Findings support the need for professional development activities that are specifically targeted towards facilitating ethical practice for speech-language pathologists in the private sector.

Dependency distance: A new perspective on syntactic patterns in natural languages

NASA Astrophysics Data System (ADS)

Liu, Haitao; Xu, Chunshan; Liang, Junying

2017-07-01

Dependency distance, measured by the linear distance between two syntactically related words in a sentence, is generally held as an important index of memory burden and an indicator of syntactic difficulty. Since this constraint of memory is common for all human beings, there may well be a universal preference for dependency distance minimization (DDM) for the sake of reducing memory burden. This human-driven language universal is supported by big data analyses of various corpora that consistently report shorter overall dependency distance in natural languages than in artificial random languages and long-tailed distributions featuring a majority of short dependencies and a minority of long ones. Human languages, as complex systems, seem to have evolved to come up with diverse syntactic patterns under the universal pressure for dependency distance minimization. However, there always exist a small number of long-distance dependencies in natural languages, which may reflect some other biological or functional constraints. Language system may adapt itself to these sporadic long-distance dependencies. It is these universal constraints that have shaped such a rich diversity of syntactic patterns in human languages.

Language differences in the brain network for reading in naturalistic story reading and lexical decision.

PubMed

Wang, Xiaojuan; Yang, Jianfeng; Yang, Jie; Mencl, W Einar; Shu, Hua; Zevin, Jason David

2015-01-01

Differences in how writing systems represent language raise important questions about whether there could be a universal functional architecture for reading across languages. In order to study potential language differences in the neural networks that support reading skill, we collected fMRI data from readers of alphabetic (English) and morpho-syllabic (Chinese) writing systems during two reading tasks. In one, participants read short stories under conditions that approximate natural reading, and in the other, participants decided whether individual stimuli were real words or not. Prior work comparing these two writing systems has overwhelmingly used meta-linguistic tasks, generally supporting the conclusion that the reading system is organized differently for skilled readers of Chinese and English. We observed that language differences in the reading network were greatly dependent on task. In lexical decision, a pattern consistent with prior research was observed in which the Middle Frontal Gyrus (MFG) and right Fusiform Gyrus (rFFG) were more active for Chinese than for English, whereas the posterior temporal sulcus was more active for English than for Chinese. We found a very different pattern of language effects in a naturalistic reading paradigm, during which significant differences were only observed in visual regions not typically considered specific to the reading network, and the middle temporal gyrus, which is thought to be important for direct mapping of orthography to semantics. Indeed, in areas that are often discussed as supporting distinct cognitive or linguistic functions between the two languages, we observed interaction. Specifically, language differences were most pronounced in MFG and rFFG during the lexical decision task, whereas no language differences were observed in these areas during silent reading of text for comprehension.

Universal Principles in the Repair of Communication Problems

PubMed Central

Dingemanse, Mark; Roberts, Seán G.; Baranova, Julija; Blythe, Joe; Drew, Paul; Floyd, Simeon; Gisladottir, Rosa S.; Kendrick, Kobin H.; Levinson, Stephen C.; Manrique, Elizabeth; Rossi, Giovanni; Enfield, N. J.

2015-01-01

There would be little adaptive value in a complex communication system like human language if there were no ways to detect and correct problems. A systematic comparison of conversation in a broad sample of the world’s languages reveals a universal system for the real-time resolution of frequent breakdowns in communication. In a sample of 12 languages of 8 language families of varied typological profiles we find a system of ‘other-initiated repair’, where the recipient of an unclear message can signal trouble and the sender can repair the original message. We find that this system is frequently used (on average about once per 1.4 minutes in any language), and that it has detailed common properties, contrary to assumptions of radical cultural variation. Unrelated languages share the same three functionally distinct types of repair initiator for signalling problems and use them in the same kinds of contexts. People prefer to choose the type that is the most specific possible, a principle that minimizes cost both for the sender being asked to fix the problem and for the dyad as a social unit. Disruption to the conversation is kept to a minimum, with the two-utterance repair sequence being on average no longer that the single utterance which is being fixed. The findings, controlled for historical relationships, situation types and other dependencies, reveal the fundamentally cooperative nature of human communication and offer support for the pragmatic universals hypothesis: while languages may vary in the organization of grammar and meaning, key systems of language use may be largely similar across cultural groups. They also provide a fresh perspective on controversies about the core properties of language, by revealing a common infrastructure for social interaction which may be the universal bedrock upon which linguistic diversity rests. PMID:26375483

Patterns of Inter-Cultural Communication in Melbourne Factories: Some Research in Progress.

ERIC Educational Resources Information Center

Clyne, Michael

1991-01-01

This paper reports on research conducted in the Language and Society Centre of the National Languages Institute of Australia, Monash University, into interaction in English between non-native speakers from different ethnolinguistic backgrounds. The project emphasizes two aspects of verbal interaction where language-specific rules are closely…

Baby Talk Home Visits: Development and Initial Evaluations of a Primary Prevention Service

ERIC Educational Resources Information Center

Smith, Clare; Gibbard, Deborah

2011-01-01

Language delay is a common developmental difficulty. Research indicates that it is influenced by environmental factors, particularly social deprivation, but that a parent's interaction protects children's language development against these factors. It is hypothesized that by supporting parents' interaction, language development may be facilitated.…

Social Stress in Young People with Specific Language Impairment

ERIC Educational Resources Information Center

Wadman, Ruth; Durkin, Kevin; Conti-Ramsden, Gina

2011-01-01

Social interactions can be a source of social stress for adolescents. Little is known about how adolescents with developmental difficulties, such as specific language impairment (SLI), feel when interacting socially. Participants included 28 adolescents with SLI and 28 adolescents with typical language abilities (TL). Self-report measures of…

The Relationship Between Consciousness, Interaction, and Language Learning.

ERIC Educational Resources Information Center

van Lier, Leo

1998-01-01

Examines the relationship between consciousness, language learning, and social interaction from an ecological perspective. Argues that consciousness and language are integral parts of the human ecology, that is, they can be defined in terms of social activity and relationships among people, as well as in terms of mental operations or cerebral…

Young Foreign Language Learners' Interactions during Task-Based Paired Assessments

ERIC Educational Resources Information Center

Butler, Yuko Goto; Zeng, Wei

2014-01-01

Despite the popularity of task-based language teaching (TBLT) in foreign language (FL) education at elementary school, it remains unclear how young learners' FL abilities can best be evaluated with tasks. The present study seeks to understand developmental differences in interactions among elementary-school students during task-based language…

Interaction and Uptake in Large Foreign Language Classrooms

ERIC Educational Resources Information Center

Ekembe, Eric Enongene

2014-01-01

Inteaction determines and affects the conditions of language acquisition especially in contexts where exposure to the target language is limited. This is believed to be successful only within the context of small classes (Chavez, 2009). This paper examines learners' progress resulting from interaction in large classes. Using pre-, post-, and…

The Speech Community in Evolutionary Language Dynamics

ERIC Educational Resources Information Center

Blythe, Richard A.; Croft, William A.

2009-01-01

Language is a complex adaptive system: Speakers are agents who interact with each other, and their past and current interactions feed into speakers' future behavior in complex ways. In this article, we describe the social cognitive linguistic basis for this analysis of language and a mathematical model developed in collaboration between…

Encouraging Spatial Talk: Using Children's Museums to Bolster Spatial Reasoning

ERIC Educational Resources Information Center

Polinsky, Naomi; Perez, Jasmin; Grehl, Mora; McCrink, Koleen

2017-01-01

Longitudinal spatial language intervention studies have shown that greater exposure to spatial language improves children's performance on spatial tasks. Can short naturalistic, spatial language interactions also evoke improved spatial performance? In this study, parents were asked to interact with their child at a block wall exhibit in a…

Constructing Clinical Judgments about Preschool Pragmatic Language Skills: An Action Research Study

ERIC Educational Resources Information Center

Boje, Noreen Susan

2009-01-01

The literature suggests that children who struggle with communication during social interactions, called "pragmatic language" in the field of speech language pathology, have fewer opportunities to engage in social practices that promote learning because of inadequate skills in interacting with others. Children with even subtle difficulties in…

Social Interactions of Speech- and Language-Impaired Children.

ERIC Educational Resources Information Center

Rice, Mabel L.; And Others

1991-01-01

This study found that 17 preschool children with limited communication skills [specific language impairment, speech impairment, and English as a Second Language (ESL)] were more likely than normal peers to initiate with adults, shorten their responses, and use nonverbal responses. ESL children were least likely to initiate interactions.…

The influence of lexical characteristics and talker accent on the recognition of English words by speakers of Japanese.

PubMed

Yoneyama, Kiyoko; Munson, Benjamin

2017-02-01

Whether or not the influence of listeners' language proficiency on L2 speech recognition was affected by the structure of the lexicon was examined. This specific experiment examined the effect of word frequency (WF) and phonological neighborhood density (PND) on word recognition in native speakers of English and second-language (L2) speakers of English whose first language was Japanese. The stimuli included English words produced by a native speaker of English and English words produced by a native speaker of Japanese (i.e., with Japanese-accented English). The experiment was inspired by the finding of Imai, Flege, and Walley [(2005). J. Acoust. Soc. Am. 117, 896-907] that the influence of talker accent on speech intelligibility for L2 learners of English whose L1 is Spanish varies as a function of words' PND. In the currently study, significant interactions between stimulus accentedness and listener group on the accuracy and speed of spoken word recognition were found, as were significant effects of PND and WF on word-recognition accuracy. However, no significant three-way interaction among stimulus talker, listener group, and PND on either measure was found. Results are discussed in light of recent findings on cross-linguistic differences in the nature of the effects of PND on L2 phonological and lexical processing.

BIBLIOGRAPHY ON LANGUAGE DEVELOPMENT.

ERIC Educational Resources Information Center

Harvard Univ., Cambridge, MA. Graduate School of Education.

THIS BIBLIOGRAPHY LISTS MATERIAL ON VARIOUS ASPECTS OF LANGUAGE DEVELOPMENT. APPROXIMATELY 65 UNANNOTATED REFERENCES ARE PROVIDED TO DOCUMENTS DATING FROM 1958 TO 1966. JOURNALS, BOOKS, AND REPORT MATERIALS ARE LISTED. SUBJECT AREAS INCLUDED ARE THE NATURE OF LANGUAGE, LINGUISTICS, LANGUAGE LEARNING, LANGUAGE SKILLS, LANGUAGE PATTERNS, AND…

Examining the Relationship between Interaction and Linguistic Outcomes: Is the Online Learning Environment a Viable Alternative to Traditional Classroom Instruction for Beginning Language Learners?

ERIC Educational Resources Information Center

Flesvig Bruland, Nicole

2013-01-01

Many in the field of Second Language Acquisition (SLA) agree that interaction is a critical component in the process of second language acquisition (Hatch 1978; Long, 1996; Pica 1994). According to Long (1996), second language (L2) learners have the best chance of successful L2 acquisition when placed in an environment in which conversational…

Characteristics of Parent-Child Interactions: A Systematic Review of Studies Comparing Children with Primary Language Impairment and Their Typically Developing Peers

ERIC Educational Resources Information Center

Blackwell, Anna K. M.; Harding, Sam; Babayigit, Selma; Roulstone, Sue

2015-01-01

The importance of parent-child interaction (PCI) for language development has been well established. This has led many speech and language therapy (SLT) interventions to focus on modifying PCI as a means to improving children's early language delay. However, the success of such programs is mixed. The current review compares PCI, observed in…

Analysis of IUE spectra using the interactive data language

NASA Technical Reports Server (NTRS)

Joseph, C. L.

1981-01-01

The Interactive Data Language (IDL) is used to analyze high resolution spectra from the IUE. Like other interactive languages, IDL is designed for use by the scientist rather than the professional programmer, allowing him to conceive of his data as simple entities and to operate on this data with minimal difficulty. A package of programs created to analyze interstellar absorption lines is presented as an example of the graphical power of IDL.

The language of gene ontology: a Zipf's law analysis.

PubMed

Kalankesh, Leila Ranandeh; Stevens, Robert; Brass, Andy

2012-06-07

Most major genome projects and sequence databases provide a GO annotation of their data, either automatically or through human annotators, creating a large corpus of data written in the language of GO. Texts written in natural language show a statistical power law behaviour, Zipf's law, the exponent of which can provide useful information on the nature of the language being used. We have therefore explored the hypothesis that collections of GO annotations will show similar statistical behaviours to natural language. Annotations from the Gene Ontology Annotation project were found to follow Zipf's law. Surprisingly, the measured power law exponents were consistently different between annotation captured using the three GO sub-ontologies in the corpora (function, process and component). On filtering the corpora using GO evidence codes we found that the value of the measured power law exponent responded in a predictable way as a function of the evidence codes used to support the annotation. Techniques from computational linguistics can provide new insights into the annotation process. GO annotations show similar statistical behaviours to those seen in natural language with measured exponents that provide a signal which correlates with the nature of the evidence codes used to support the annotations, suggesting that the measured exponent might provide a signal regarding the information content of the annotation.

Robots with language.

PubMed

Parisi, Domenico

2010-01-01

Trying to understand human language by constructing robots that have language necessarily implies an embodied view of language, where the meaning of linguistic expressions is derived from the physical interactions of the organism with the environment. The paper describes a neural model of language according to which the robot's behaviour is controlled by a neural network composed of two sub-networks, one dedicated to the non-linguistic interactions of the robot with the environment and the other one to processing linguistic input and producing linguistic output. We present the results of a number of simulations using the model and we suggest how the model can be used to account for various language-related phenomena such as disambiguation, the metaphorical use of words, the pervasive idiomaticity of multi-word expressions, and mental life as talking to oneself. The model implies a view of the meaning of words and multi-word expressions as a temporal process that takes place in the entire brain and has no clearly defined boundaries. The model can also be extended to emotional words if we assume that an embodied view of language includes not only the interactions of the robot's brain with the external environment but also the interactions of the brain with what is inside the body.

First Language Acquisition and Teaching

ERIC Educational Resources Information Center

Cruz-Ferreira, Madalena

2011-01-01

"First language acquisition" commonly means the acquisition of a single language in childhood, regardless of the number of languages in a child's natural environment. Language acquisition is variously viewed as predetermined, wondrous, a source of concern, and as developing through formal processes. "First language teaching" concerns schooling in…

Natural tuning: towards a proof of concept

NASA Astrophysics Data System (ADS)

Dubovsky, Sergei; Gorbenko, Victor; Mirbabayi, Mehrdad

2013-09-01

The cosmological constant problem and the absence of new natural physics at the electroweak scale, if confirmed by the LHC, may either indicate that the nature is fine-tuned or that a refined notion of naturalness is required. We construct a family of toy UV complete quantum theories providing a proof of concept for the second possibility. Low energy physics is described by a tuned effective field theory, which exhibits relevant interactions not protected by any symmetries and separated by an arbitrary large mass gap from the new "gravitational" physics, represented by a set of irrelevant operators. Nevertheless, the only available language to describe dynamics at all energy scales does not require any fine-tuning. The interesting novel feature of this construction is that UV physics is not described by a fixed point, but rather exhibits asymptotic fragility. Observation of additional unprotected scalars at the LHC would be a smoking gun for this scenario. Natural tuning also favors TeV scale unification.

Directly Comparing Computer and Human Performance in Language Understanding and Visual Reasoning.

ERIC Educational Resources Information Center

Baker, Eva L.; And Others

Evaluation models are being developed for assessing artificial intelligence (AI) systems in terms of similar performance by groups of people. Natural language understanding and vision systems are the areas of concentration. In simplest terms, the goal is to norm a given natural language system's performance on a sample of people. The specific…

Combining Natural Language Processing and Statistical Text Mining: A Study of Specialized versus Common Languages

ERIC Educational Resources Information Center

Jarman, Jay

2011-01-01

This dissertation focuses on developing and evaluating hybrid approaches for analyzing free-form text in the medical domain. This research draws on natural language processing (NLP) techniques that are used to parse and extract concepts based on a controlled vocabulary. Once important concepts are extracted, additional machine learning algorithms,…

Native American Rhetoric and the Pre-Socratic Ideal of "Physis."

ERIC Educational Resources Information Center

Miller, Bernard A.

"House Made of Dawn" by N. Scott Momaday is about language and the sacredness of the word and about what can be understood as a peculiarly Native American theory of rhetoric. All things are hinged to the physical landscape, nature, and the implications nature bears upon language. In Momaday's book, language does not represent external…

Using the Natural Language Paradigm (NLP) to Increase Vocalizations of Older Adults with Cognitive Impairments

ERIC Educational Resources Information Center

LeBlanc, Linda A.; Geiger, Kaneen B.; Sautter, Rachael A.; Sidener, Tina M.

2007-01-01

The Natural Language Paradigm (NLP) has proven effective in increasing spontaneous verbalizations for children with autism. This study investigated the use of NLP with older adults with cognitive impairments served at a leisure-based adult day program for seniors. Three individuals with limited spontaneous use of functional language participated…

A multimodal interface for real-time soldier-robot teaming

NASA Astrophysics Data System (ADS)

Barber, Daniel J.; Howard, Thomas M.; Walter, Matthew R.

2016-05-01

Recent research and advances in robotics have led to the development of novel platforms leveraging new sensing capabilities for semantic navigation. As these systems becoming increasingly more robust, they support highly complex commands beyond direct teleoperation and waypoint finding facilitating a transition away from robots as tools to robots as teammates. Supporting future Soldier-Robot teaming requires communication capabilities on par with human-human teams for successful integration of robots. Therefore, as robots increase in functionality, it is equally important that the interface between the Soldier and robot advances as well. Multimodal communication (MMC) enables human-robot teaming through redundancy and levels of communications more robust than single mode interaction. Commercial-off-the-shelf (COTS) technologies released in recent years for smart-phones and gaming provide tools for the creation of portable interfaces incorporating MMC through the use of speech, gestures, and visual displays. However, for multimodal interfaces to be successfully used in the military domain, they must be able to classify speech, gestures, and process natural language in real-time with high accuracy. For the present study, a prototype multimodal interface supporting real-time interactions with an autonomous robot was developed. This device integrated COTS Automated Speech Recognition (ASR), a custom gesture recognition glove, and natural language understanding on a tablet. This paper presents performance results (e.g. response times, accuracy) of the integrated device when commanding an autonomous robot to perform reconnaissance and surveillance activities in an unknown outdoor environment.

Talk or Chat? Chatroom and Spoken Interaction in a Language Classroom

ERIC Educational Resources Information Center

Hamano-Bunce, Douglas

2011-01-01

This paper describes a study comparing chatroom and face-to-face oral interaction for the purposes of language learning in a tertiary classroom in the United Arab Emirates. It uses transcripts analysed for Language Related Episodes, collaborative dialogues, thought to be externally observable examples of noticing in action. The analysis is…

Video-Based Interaction, Negotiation for Comprehensibility, and Second Language Speech Learning: A Longitudinal Study

ERIC Educational Resources Information Center

Saito, Kazuya; Akiyama, Yuka

2017-01-01

This study examined the impact of video-based conversational interaction on the longitudinal development (one academic semester) of second language production by college-level Japanese English-as-a-foreign-language learners. Students in the experimental group engaged in weekly dyadic conversation exchanges with native speakers in the United States…

Demonstrating Functional Interactive Language Teaching in the Nigerian Universities

ERIC Educational Resources Information Center

Bello, Rachael O.; Oni-Buraimoh, Olawunmi O.

2014-01-01

Applied linguistics affords Linguists the opportunity of solving language related problems using various methods. In this paper, we x-ray the Nigerian University classroom situation in the teaching of the English language viz-a-viz the use of functional interactive method. Following Littlewood (1981) and Krashen (1982), we posit that the teaching…

Effects of Communication Tasks on the Grammatical Relations Marked by Second Language Learners.

ERIC Educational Resources Information Center

Newton, Jonathan; Kennedy, Graeme

1996-01-01

Examines the morpho-syntax of task-based interaction and reports some possible grammatical consequences of interaction in split and shared information tasks undertaken by adult second language learners of English. Results indicate that communication tasks for language learning can be designed to influence the use of particular linguistic…

Meaning-Making in Online Language Learner Interactions via Desktop Videoconferencing

ERIC Educational Resources Information Center

Satar, H. Müge

2016-01-01

Online language learning and teaching in multimodal contexts has been identified as one of the key research areas in computer-aided learning (CALL) (Lamy, 2013; White, 2014). This paper aims to explore meaning-making in online language learner interactions via desktop videoconferencing (DVC) and in doing so illustrate multimodal transcription and…

Early Markers of Language and Attention: Mutual Contributions and the Impact of Parent-Infant Interactions

ERIC Educational Resources Information Center

Gartstein, Maria A.; Crawford, Jennifer; Robertson, Christopher D.

2008-01-01

This study was conducted to explore the contribution of attentional skills to early language, and the influence of early language markers on the development of attention, simultaneously examining the impact of parent-child interaction factors (reciprocity/synchrony and sensitivity/responsivity), including their potential moderator effects. All…

Working with Pre-School Practitioners to Improve Interactions

ERIC Educational Resources Information Center

Ahsam, Suki; Shepherd, Julie; Warren-Adamson, Chris

2006-01-01

Eight pre-schools took part in offsite and onsite speech and language training to improve their interaction skills with children and learn some group language activities. An evaluation was undertaken where practitioners at one pre-school were videoed running a language activity before and after training. The video was analysed to assess change in…