Comparability of a Paper-Based Language Test and a Computer-Based Language Test.
ERIC Educational Resources Information Center
Choi, Inn-Chull; Kim, Kyoung Sung; Boo, Jaeyool
2003-01-01
Utilizing the Test of English Proficiency, developed by Seoul National University (TEPS), examined comparability between the paper-based language test and the computer-based language test based on content and construct validation employing content analyses based on corpus linguistic techniques in addition to such statistical analyses as…
NASA Astrophysics Data System (ADS)
Gallagher, Anne; Tremblay, Julie; Vannasing, Phetsamone
2016-12-01
Patients with brain tumor or refractory epilepsy may be candidates for neurosurgery. Presurgical evaluation often includes language investigation to prevent or reduce the risk of postsurgical language deficits. Current techniques involve significant limitations with pediatric populations. Recently, near-infrared spectroscopy (NIRS) has been shown to be a valuable neuroimaging technique for language localization in children. However, it typically requires the child to perform a task (task-based NIRS), which may constitute a significant limitation. Resting-state functional connectivity NIRS (fcNIRS) is an approach that can be used to identify language networks at rest. This study aims to assess the utility of fcNIRS in children by comparing fcNIRS to more conventional task-based NIRS for language mapping in 33 healthy participants: 25 children (ages 3 to 16) and 8 adults. Data were acquired at rest and during a language task. Results show very good concordance between both approaches for language localization (Dice similarity coefficient=0.81±0.13) and hemispheric language dominance (kappa=0.86, p<0.006). The fcNIRS technique may be a valuable tool for language mapping in clinical populations, including children and patients with cognitive and behavioral impairments.
A high level language for a high performance computer
NASA Technical Reports Server (NTRS)
Perrott, R. H.
1978-01-01
The proposed computational aerodynamic facility will join the ranks of the supercomputers due to its architecture and increased execution speed. At present, the languages used to program these supercomputers have been modifications of programming languages which were designed many years ago for sequential machines. A new programming language should be developed based on the techniques which have proved valuable for sequential programming languages and incorporating the algorithmic techniques required for these supercomputers. The design objectives for such a language are outlined.
The Effect of Bilingual Term List Size on Dictionary-Based Cross-Language Information Retrieval
2006-01-01
The Effect of Bilingual Term List Size on Dictionary -Based Cross-Language Information Retrieval Dina Demner-Fushman Department of Computer Science... dictionary -based Cross-Language Information Retrieval (CLIR), in which the goal is to find documents written in one natural language based on queries that...in which the documents are written. In dictionary -based CLIR techniques, the princi- pal source of translation knowledge is a translation lexicon
ERIC Educational Resources Information Center
Vives, Robert
1983-01-01
Based on a literature review and analysis of teaching methods and objectives, it is proposed that the emphasis on communicative competence ascendant in French foreign language instruction is closely related to, and borrows from, expressive techniques taught in French native language instruction in the 1960s. (MSE)
A High-Level Language for Modeling Algorithms and Their Properties
NASA Astrophysics Data System (ADS)
Akhtar, Sabina; Merz, Stephan; Quinson, Martin
Designers of concurrent and distributed algorithms usually express them using pseudo-code. In contrast, most verification techniques are based on more mathematically-oriented formalisms such as state transition systems. This conceptual gap contributes to hinder the use of formal verification techniques. Leslie Lamport introduced PlusCal, a high-level algorithmic language that has the "look and feel" of pseudo-code, but is equipped with a precise semantics and includes a high-level expression language based on set theory. PlusCal models can be compiled to TLA + and verified using the model checker tlc.
Cognition, Corpora, and Computing: Triangulating Research in Usage-Based Language Learning
ERIC Educational Resources Information Center
Ellis, Nick C.
2017-01-01
Usage-based approaches explore how we learn language from our experience of language. Related research thus involves the analysis of the usage from which learners learn and of learner usage as it develops. This program involves considerable data recording, transcription, and analysis, using a variety of corpus and computational techniques, many of…
Student Modeling and Ab Initio Language Learning.
ERIC Educational Resources Information Center
Heift, Trude; Schulze, Mathias
2003-01-01
Provides examples of student modeling techniques that have been employed in computer-assisted language learning over the past decade. Describes two systems for learning German: "German Tutor" and "Geroline." Shows how a student model can support computerized adaptive language testing for diagnostic purposes in a Web-based language learning…
Introducing IoT and Wearable Technologies into Task-Based Language Learning for Young Children
ERIC Educational Resources Information Center
de la Guia, Elena; Camacho, Vincent Lopez; Orozco-Barbosa, Luis; Brea Lujan, Victor M.; Penichet, Victor M. R.; Perez, Maria Lozano
2016-01-01
In the last few years, in an attempt to further motivate students to learn a foreign language, there has been an increasing interest in task-based teaching techniques, which emphasize communication and the practical use of language, thus moving away from the repetitive grammar-translation methods. Within this approach, the significance of…
Developing Formal Correctness Properties from Natural Language Requirements
NASA Technical Reports Server (NTRS)
Nikora, Allen P.
2006-01-01
This viewgraph presentation reviews the rationale of the program to transform natural language specifications into formal notation.Specifically, automate generation of Linear Temporal Logic (LTL)correctness properties from natural language temporal specifications. There are several reasons for this approach (1) Model-based techniques becoming more widely accepted, (2) Analytical verification techniques (e.g., model checking, theorem proving) significantly more effective at detecting types of specification design errors (e.g., race conditions, deadlock) than manual inspection, (3) Many requirements still written in natural language, which results in a high learning curve for specification languages, associated tools and increased schedule and budget pressure on projects reduce training opportunities for engineers, and (4) Formulation of correctness properties for system models can be a difficult problem. This has relevance to NASA in that it would simplify development of formal correctness properties, lead to more widespread use of model-based specification, design techniques, assist in earlier identification of defects and reduce residual defect content for space mission software systems. The presentation also discusses: potential applications, accomplishments and/or technological transfer potential and the next steps.
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.
Hsieh, Ming-Yeh; Lynch, Georgina; Madison, Charles
2018-04-27
This study examined intervention techniques used with children with autism spectrum disorder (ASD) by speech-language pathologists (SLPs) in the United States and Taiwan working in clinic/hospital settings. The research questions addressed intervention techniques used with children with ASD, intervention techniques used with different age groups (under and above 8 years old), and training received before using the intervention techniques. The survey was distributed through the American Speech-Language-Hearing Association to selected SLPs across the United States. In Taiwan, the survey (Chinese version) was distributed through the Taiwan Speech-Language Pathologist Union, 2018, to certified SLPs. Results revealed that SLPs in the United States and Taiwan used 4 common intervention techniques: Social Skill Training, Augmentative and Alternative Communication, Picture Exchange Communication System, and Social Stories. Taiwanese SLPs reported SLP preparation program training across these common intervention strategies. In the United States, SLPs reported training via SLP preparation programs, peer therapists, and self-taught. Most SLPs reported using established or emerging evidence-based practices as defined by the National Professional Development Center (2014) and the National Standards Report (2015). Future research should address comparison of SLP preparation programs to examine the impact of preprofessional training on use of evidence-based practices to treat ASD.
A Feature-Reinforcement-Based Approach for Supporting Poly-Lingual Category Integration
NASA Astrophysics Data System (ADS)
Wei, Chih-Ping; Chen, Chao-Chi; Cheng, Tsang-Hsiang; Yang, Christopher C.
Document-category integration (or category integration for short) is fundamental to many e-commerce applications, including information integration along supply chains and information aggregation by intermediaries. Because of the trend of globalization, the requirement for category integration has been extended from monolingual to poly-lingual settings. Poly-lingual category integration (PLCI) aims to integrate two document catalogs, each of which consists of documents written in a mix of languages. Several category integration techniques have been proposed in the literature, but these techniques focus only on monolingual category integration rather than PLCI. In this study, we propose a feature-reinforcement-based PLCI (namely, FR-PLCI) technique that takes into account the master documents of all languages when integrating source documents (in the source catalog) written in a specific language into the master catalog. Using the monolingual category integration (MnCI) technique as a performance benchmark, our empirical evaluation results show that our proposed FR-PLCI technique achieves better integration accuracy than MnCI does in both English and Chinese category integration tasks.
Artificial Intelligence Techniques: Applications for Courseware Development.
ERIC Educational Resources Information Center
Dear, Brian L.
1986-01-01
Introduces some general concepts and techniques of artificial intelligence (natural language interfaces, expert systems, knowledge bases and knowledge representation, heuristics, user-interface metaphors, and object-based environments) and investigates ways these techniques might be applied to analysis, design, development, implementation, and…
Toward Better Classroom Teaching.
ERIC Educational Resources Information Center
Grew, James H.
1964-01-01
Designed for the inexperienced language teacher, this summary of effective language teaching techniques is based on observations made in high school French classes, but is applicable also to elementary school and beginning college language programs. Consideration is given to maintaining interest and classroom control, using realia, and giving each…
Corpus-Based Optimization of Language Models Derived from Unification Grammars
NASA Technical Reports Server (NTRS)
Rayner, Manny; Hockey, Beth Ann; James, Frankie; Bratt, Harry; Bratt, Elizabeth O.; Gawron, Mark; Goldwater, Sharon; Dowding, John; Bhagat, Amrita
2000-01-01
We describe a technique which makes it feasible to improve the performance of a language model derived from a manually constructed unification grammar, using low-quality untranscribed speech data and a minimum of human annotation. The method is on a medium-vocabulary spoken language command and control task.
Clinical success, political failure?
Neilson, Jacqueline
2004-01-01
ABSTRACT This paper argues that the dominant language used by the domestic violence movement to conceptualize relationship violence inadequately captures the psychological complexities involved in abusive lesbian relationships. As a corrective, a language based on feminist and psychoanalytic concepts is presented. Against the backdrop of this language, the author reflects on the lived experience of lesbian clients who have come to therapy for relationship violence. It is concluded that a language based on the ethos of postmodern feminism and neo-Kleinian concepts and technique more appropriately addresses the complexities involved in abusive lesbian relationships within a therapeutic context than the polemical language of the domestic violence movement.
Formal semantic specifications as implementation blueprints for real-time programming languages
NASA Technical Reports Server (NTRS)
Feyock, S.
1981-01-01
Formal definitions of language and system semantics provide highly desirable checks on the correctness of implementations of programming languages and their runtime support systems. If these definitions can give concrete guidance to the implementor, major increases in implementation accuracy and decreases in implementation effort can be achieved. It is shown that of the wide variety of available methods the Hgraph (hypergraph) definitional technique (Pratt, 1975), is best suited to serve as such an implementation blueprint. A discussion and example of the Hgraph technique is presented, as well as an overview of the growing body of implementation experience of real-time languages based on Hgraph semantic definitions.
TOMML: A Rule Language for Structured Data
NASA Astrophysics Data System (ADS)
Cirstea, Horatiu; Moreau, Pierre-Etienne; Reilles, Antoine
We present the TOM language that extends JAVA with the purpose of providing high level constructs inspired by the rewriting community. TOM bridges thus the gap between a general purpose language and high level specifications based on rewriting. This approach was motivated by the promotion of rule based techniques and their integration in large scale applications. Powerful matching capabilities along with a rich strategy language are among TOM's strong features that make it easy to use and competitive with respect to other rule based languages. TOM is thus a natural choice for querying and transforming structured data and in particular XML documents [1]. We present here its main XML oriented features and illustrate its use on several examples.
NLPIR: A Theoretical Framework for Applying Natural Language Processing to Information Retrieval.
ERIC Educational Resources Information Center
Zhou, Lina; Zhang, Dongsong
2003-01-01
Proposes a theoretical framework called NLPIR that integrates natural language processing (NLP) into information retrieval (IR) based on the assumption that there exists representation distance between queries and documents. Discusses problems in traditional keyword-based IR, including relevance, and describes some existing NLP techniques.…
Analytical learning and term-rewriting systems
NASA Technical Reports Server (NTRS)
Laird, Philip; Gamble, Evan
1990-01-01
Analytical learning is a set of machine learning techniques for revising the representation of a theory based on a small set of examples of that theory. When the representation of the theory is correct and complete but perhaps inefficient, an important objective of such analysis is to improve the computational efficiency of the representation. Several algorithms with this purpose have been suggested, most of which are closely tied to a first order logical language and are variants of goal regression, such as the familiar explanation based generalization (EBG) procedure. But because predicate calculus is a poor representation for some domains, these learning algorithms are extended to apply to other computational models. It is shown that the goal regression technique applies to a large family of programming languages, all based on a kind of term rewriting system. Included in this family are three language families of importance to artificial intelligence: logic programming, such as Prolog; lambda calculus, such as LISP; and combinatorial based languages, such as FP. A new analytical learning algorithm, AL-2, is exhibited that learns from success but is otherwise quite different from EBG. These results suggest that term rewriting systems are a good framework for analytical learning research in general, and that further research should be directed toward developing new techniques.
Twelve tips for effective body language for medical educators.
Hale, Andrew J; Freed, Jason; Ricotta, Daniel; Farris, Grace; Smith, C Christopher
2017-09-01
A significant proportion of human communication is nonverbal. Although the fields of business and psychology have significant literature on effectively using body language in a variety of situations, there is limited literature on effective body language for medical educators. To provide 12 tips to highlight effective body language strategies and techniques for medical educators. The tips provided are based on our experiences and reflections as clinician-educators and the available literature. The 12 tips presented offer specific strategies to engage learners, balance learner participation, and bring energy and passion to teaching. Medical educators seeking to maximize their effectiveness would benefit from an understanding of how body language affects a learning environment and how body language techniques can be used to engage audiences, maintain attention, control challenging learners, and convey passion for a topic. Understanding and using body language effectively is an important instructional skill.
Scalable and Accurate SMT-based Model Checking of Data Flow Systems
2013-10-30
guided by the semantics of the description language . In this project we developed instead a complementary and novel approach based on a somewhat brute...believe that our approach could help considerably in expanding the reach of abstract interpretation techniques to a variety of tar- get languages , as...project. We worked on developing a framework for compositional verification that capitalizes on the fact that data-flow languages , such as Lustre, have
ERIC Educational Resources Information Center
Andrews, Jean F.; Rusher, Melissa
2010-01-01
The authors present a perspective on emerging bilingual deaf students who are exposed to, learning, and developing two languages--American Sign Language (ASL) and English (spoken English, manually coded English, and English reading and writing). The authors suggest that though deaf children may lack proficiency or fluency in either language during…
The Use of a Context-Based Information Retrieval Technique
2009-07-01
provided in context. Latent Semantic Analysis (LSA) is a statistical technique for inferring contextual and structural information, and previous studies...WAIS). 10 DSTO-TR-2322 1.4.4 Latent Semantic Analysis LSA, which is also known as latent semantic indexing (LSI), uses a statistical and...1.4.6 Language Models In contrast, natural language models apply algorithms that combine statistical information with semantic information. Semantic
Some attributes of a language for property-based testing.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Neagoe, Vicentiu; Bishop, Matt
Property-based testing is a testing technique that evaluates executions of a program. The method checks that specifications, called properties, hold throughout the execution of the program. TASpec is a language used to specify these properties. This paper compares some attributes of the language with the specification patterns used for model-checking languages, and then presents some descriptions of properties that can be used to detect common security flaws in programs. This report describes the results of a one year research project at the University of California, Davis, which was funded by a University Collaboration LDRD entitled ''Property-based Testing for Cyber Securitymore » Assurance''.« less
EFL Teachers' Formal Assessment Practices Based on Exam Papers
ERIC Educational Resources Information Center
Kiliçkaya, Ferit
2016-01-01
This study reports initial findings from a small-scale qualitative study aimed at gaining insights into English language teachers' assessment practices in Turkey by examining the formal exam papers. Based on the technique of content analysis, formal exam papers were analyzed in terms of assessment items, language skills tested as well as the…
ERIC Educational Resources Information Center
Suendermann-Oeft, David; Ramanarayanan, Vikram; Yu, Zhou; Qian, Yao; Evanini, Keelan; Lange, Patrick; Wang, Xinhao; Zechner, Klaus
2017-01-01
We present work in progress on a multimodal dialog system for English language assessment using a modular cloud-based architecture adhering to open industry standards. Among the modules being developed for the system, multiple modules heavily exploit machine learning techniques, including speech recognition, spoken language proficiency rating,…
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,…
NASA Technical Reports Server (NTRS)
Lowrie, J. W.; Fermelia, A. J.; Haley, D. C.; Gremban, K. D.; Vanbaalen, J.; Walsh, R. W.
1982-01-01
A variety of artificial intelligence techniques which could be used with regard to NASA space applications and robotics were evaluated. The techniques studied were decision tree manipulators, problem solvers, rule based systems, logic programming languages, representation language languages, and expert systems. The overall structure of a robotic simulation tool was defined and a framework for that tool developed. Nonlinear and linearized dynamics equations were formulated for n link manipulator configurations. A framework for the robotic simulation was established which uses validated manipulator component models connected according to a user defined configuration.
An Intelligent Computer-Based System for Sign Language Tutoring
ERIC Educational Resources Information Center
Ritchings, Tim; Khadragi, Ahmed; Saeb, Magdy
2012-01-01
A computer-based system for sign language tutoring has been developed using a low-cost data glove and a software application that processes the movement signals for signs in real-time and uses Pattern Matching techniques to decide if a trainee has closely replicated a teacher's recorded movements. The data glove provides 17 movement signals from…
Component-Oriented Behavior Extraction for Autonomic System Design
NASA Technical Reports Server (NTRS)
Bakera, Marco; Wagner, Christian; Margaria,Tiziana; Hinchey, Mike; Vassev, Emil; Steffen, Bernhard
2009-01-01
Rich and multifaceted domain specific specification languages like the Autonomic System Specification Language (ASSL) help to design reliable systems with self-healing capabilities. The GEAR game-based Model Checker has been used successfully to investigate properties of the ESA Exo- Mars Rover in depth. We show here how to enable GEAR s game-based verification techniques for ASSL via systematic model extraction from a behavioral subset of the language, and illustrate it on a description of the Voyager II space mission.
New Language and Old Problems in Breast Cancer Radiotherapy.
Chiricuţă, Ion Christian
2017-01-01
New developments in breast cancer radiotherapy make possible new standards in treatment recommandations based on international guidelines. Developments in radiotherapy irradiation techniques from 2D to 3D-Conformal RT and to IMRT (Intensity Modulated Arc Therapy) make possible to reduce the usual side effects on the organs at risk as: skin, lung, miocard, bone, esophagus and brahial plexus. Dispite of all these progresses acute and late side effects are present. Side effects are as old as the radiotherapy was used. New solutions are available now by improving irradiation techniques. New techniques as sentinel node procedure (SNP) or partial breast irradiation (PBRT) and immediate breast reconstruction with silicon implants (IBRIS) make necessary new considerations regarding the target volume delineations. A new language for definition of gross tumor volume (GTV), clinical target volume (CTV) based on the new diagnostic methods as PET/CT,nonaparticle MRI will have real impact on target delineation and irradiation techniques. "The new common language in breast cancer therapy" would be the first step to improve the endresults and finally the quality of life of the patients. Celsius.
[Language Functions in the Frontal Association Area: Brain Mechanisms That Create Language].
Yamamoto, Kayako; Sakai, Kuniyoshi L
2016-11-01
Broca's area is known to be critically involved in language processing for more than 150 years. Recent neuroimaging techniques, including functional magnetic resonance imaging (fMRI) and diffusion MRI, enabled the subdivision of Broca's area based on both functional and anatomical aspects. Networks among the frontal association areas, especially the left inferior frontal gyrus (IFG), and other cortical regions in the temporal/parietal association areas, are also important for language-related information processing. Here, we review how neuroimaging studies, combined with research paradigms based on theoretical linguistics, have contributed to clarifying the critical roles of the left IFG in syntactic processing and those of language-related networks, including cortical and cerebellar regions.
Chen, Chuansheng; Xue, Gui; Mei, Leilei; Chen, Chunhui; Dong, Qi
2009-01-01
As the only species that evolved to possess a language faculty, humans have been surprisingly generative in creating a diverse array of language systems. These systems vary in phonology, morphology, syntax, and written forms. Before the advent of modern brain-imaging techniques, little was known about how differences across languages are reflected in the brain. This chapter aims to provide an overview of an emerging area of research - cultural neurolinguistics - that examines systematic cross-cultural/crosslinguistic variations in the neural networks of languages. We first briefly describe general brain networks for written and spoken languages. We then discuss language-specific brain regions by highlighting differences in neural bases of different scripts (logographic vs. alphabetic scripts), orthographies (transparent vs. nontransparent orthographies), and tonality (tonal vs. atonal languages). We also discuss neural basis of second language and the role of native language experience in second-language acquisition. In the last section, we outline a general model that integrates culture and neural bases of language and discuss future directions of research in this area.
Computer enhancement through interpretive techniques
NASA Technical Reports Server (NTRS)
Foster, G.; Spaanenburg, H. A. E.; Stumpf, W. E.
1972-01-01
The improvement in the usage of the digital computer through the use of the technique of interpretation rather than the compilation of higher ordered languages was investigated by studying the efficiency of coding and execution of programs written in FORTRAN, ALGOL, PL/I and COBOL. FORTRAN was selected as the high level language for examining programs which were compiled, and A Programming Language (APL) was chosen for the interpretive language. It is concluded that APL is competitive, not because it and the algorithms being executed are well written, but rather because the batch processing is less efficient than has been admitted. There is not a broad base of experience founded on trying different implementation strategies which have been targeted at open competition with traditional processing methods.
New Trends in Computer Assisted Language Learning and Teaching.
ERIC Educational Resources Information Center
Perez-Paredes, Pascual, Ed.; Cantos-Gomez, Pascual, Ed.
2002-01-01
Articles in this special issue include the following: "ICT and Modern Foreign Languages: Learning Opportunities and Training Needs" (Graham Davies); "Authoring, Pedagogy and the Web: Expectations Versus Reality" (Paul Bangs); "Web-based Instructional Environments: Tools and Techniques for Effective Second Language…
Multimodal assessment of hemispheric lateralization for language and its relevance for behavior.
Piervincenzi, C; Petrilli, A; Marini, A; Caulo, M; Committeri, G; Sestieri, C
2016-11-15
Although different MRI-based techniques have been proposed to assess the hemispheric lateralization for language (HLL), the agreement across methods, and its relationship with language abilities, are still a matter of debate. In the present study we obtained measures of HLL using both task-evoked activity during the execution of three different protocols and task-free methods of functional [resting state functional connectivity (rs-FC)] and anatomical [diffusion tensor imaging (DTI) tractography] connectivity. Regional analyses focusing on the perisylvian language network were conducted to assess the consistency of HLL across techniques. In addition, following a multimodal approach, we identified macro-factors of lateralization and examined their relationship with language performance. Our findings indicate the existence of a negative relationship between the structural asymmetry of the direct segment of the arcuate fasciculus (AF) and the inter-hemispheric rs-FC of key nodes of the perisylvian network. Instead, despite all the language tasks exhibited a leftward pattern of asymmetry, measures of HLL derived from task-evoked activity did not show a direct relationship with those obtained with the two task-free methods. Furthermore, a robust brain-behavioral relationship was observed only with a specific macro-factor that combined HLL measures derived from all MRI techniques. In particular, general language performance was positively related to more symmetrical structural organization, stronger inter-hemispheric communication at rest but more lateralized activation of Wernicke's territory during production tasks. Our findings, while not supporting the existence of a direct relationship between indices of hemispheric lateralization for language derived from different MRI techniques, indicate that general language performance can be indexed using combined MRI measures. The same approach might prove successful for likewise complex human behaviours. Copyright © 2016 Elsevier Inc. All rights reserved.
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.
Plain Language to Communicate Physical Activity Information: A Website Content Analysis.
Paige, Samantha R; Black, David R; Mattson, Marifran; Coster, Daniel C; Stellefson, Michael
2018-04-01
Plain language techniques are health literacy universal precautions intended to enhance health care system navigation and health outcomes. Physical activity (PA) is a popular topic on the Internet, yet it is unknown if information is communicated in plain language. This study examined how plain language techniques are included in PA websites, and if the use of plain language techniques varies according to search procedures (keyword, search engine) and website host source (government, commercial, educational/organizational). Three keywords ("physical activity," "fitness," and "exercise") were independently entered into three search engines (Google, Bing, and Yahoo) to locate a nonprobability sample of websites ( N = 61). Fourteen plain language techniques were coded within each website to examine content formatting, clarity and conciseness, and multimedia use. Approximately half ( M = 6.59; SD = 1.68) of the plain language techniques were included in each website. Keyword physical activity resulted in websites with fewer clear and concise plain language techniques ( p < .05), whereas fitness resulted in websites with more clear and concise techniques ( p < .01). Plain language techniques did not vary by search engine or the website host source. Accessing PA information that is easy to understand and behaviorally oriented may remain a challenge for users. Transdisciplinary collaborations are needed to optimize plain language techniques while communicating online PA information.
ERIC Educational Resources Information Center
Anderson, Monika R.
2014-01-01
The purpose of this study was to use a variety of techniques and data sources, to describe and to compare the self-reported educational technology integration proficiency levels with the evidence-based educational technology integration practices among select elementary language arts teachers. A collective case study design (Stake, 1995) was used…
ERIC Educational Resources Information Center
Nejad, Ferdows Mohsen; Khosravian, Fereshteh
2014-01-01
The present study examined the reliability of an achievement test to measure the efficacy of task-based writing activities to improve Iranian EFL learners' reading comprehension at the intermediate level in a private language institute in Ilam, Iran, namely Alefba language institute. To achieve the goal, the techniques for evaluating reliability…
Cognitive techniques and language: A return to behavioral origins.
Froján Parga, María X; Núñez de Prado Gordillo, Miguel; de Pascual Verdú, Ricardo
2017-08-01
the main purpose of this study is to offer an alternative explanatory account of the functioning of cognitive techniques that is based on the principles of associative learning and highlights their verbal nature. The traditional accounts are questioned and analyzed in the light of the situation of psychology in the 1970s. conceptual analysis is employed to revise the concepts of language, cognition and behavior. Several operant- and Pavlovian-based approaches to these phenomena are presented, while particular emphasis is given to Mowrer’s (1954) approach and Ryle (1949) and Wittgenstein’s (1953) philosophical contributions to the field. several logical problems are found in regard to the theoretical foundations of cognitive techniques. A combination of both operant and Pavlovian paradigms based on the above-mentioned approaches is offered as an alternative explanatory account of cognitive techniques. This new approach could overcome the conceptual fragilities of the cognitive standpoint and its dependence upon constructs of dubious logical and scientific validity.
Multisensory Teaching of Basic Language Skills. Third Edition
ERIC Educational Resources Information Center
Birsh, Judith R., Ed.
2011-01-01
As new research shows how effective systematic and explicit teaching of language-based skills is for students with learning disabilities--along with the added benefits of multisensory techniques--discover the latest on this popular teaching approach with the third edition of this bestselling textbook. Adopted by colleges and universities across…
Classification and Counter-Classification of Language on Saint Barthelemy.
ERIC Educational Resources Information Center
Pressman, Jon F.
1998-01-01
Analyzes the use of metapragmatic description in the ethnoclassification of language by native speakers on the Franco-Antillean island of Saint Barthelemy. A prevalent technique for metapragmatic description based on honorific pronouns that reflects the varied geolinguistic and generational attributes of the speakers is described. (Author/MSE)
Attitudes and Motivation in Early Foreign Language Learning
ERIC Educational Resources Information Center
Djigunovic, Jelena Mihaljevic
2012-01-01
This paper focuses on young foreign language learners' attitudes and motivations. An overview is given of the main issues in this research area, based on key European studies. Approaches to studying these affective learner characteristics are described. Some attention is devoted to data elicitation techniques and the importance of triangulation.…
Diagnostic Teaching of the Language Arts.
ERIC Educational Resources Information Center
Burns, Paul C.
This book is based on the premise that learning can best be facilitated when the teacher takes a diagnostic view of the instructional process. To further this end, each chapter contains materials, models, and techniques designed to implement diagnostic teaching in the language arts program. The seven chapters are "Foundations for Diagnostic…
PTA and TPR: A Comprehension Based Approach in a Public Elementary School.
ERIC Educational Resources Information Center
Schneider, Judith Morganroth
1984-01-01
Describes a pilot program offering conversational Spanish to elementary school students. The "Total Physical Response" technique was used initially, followed by an emphasis on comprehension and the creation of a natural language environment, all as means of facilitating second language acquisition at the children's level. (SL)
Banerjee, Pia; Leu, Kevin; Harris, Robert J; Cloughesy, Timothy F; Lai, Albert; Nghiemphu, Phioanh L; Pope, Whitney B; Bookheimer, Susan Y; Ellingson, Benjamin M
2015-01-01
Management of language difficulties is an important aspect of clinical care for glioma patients, and accurately identifying the possible language deficits in patients based on lesion location would be beneficial to clinicians. To that end, we examined the relationship between lesion presence and language performance on tests of receptive language and expressive language using a highly specific voxel-based lesion-symptom mapping (VLSM) approach in glioma patients. 98 adults with primary glioma, who were pre-surgical candidates, were administered seven neurocognitive tests within the domains of receptive language and expressive language. The association between language performance and lesion presence was examined using VLSM. Statistical parametric maps were created for each test, and composite maps for both receptive language and expressive language were created to display the significant voxels common to all tests within these language domains. We identified clusters of voxels with a significant relationship between lesion presence and language performance. All tasks were associated with several white matter pathways. The receptive language tasks were additionally all associated with regions primarily within the lateral temporal lobe and medial temporal lobe. In contrast, the expressive language tasks shared little overlap, despite each task being independently associated with large anatomic areas. Our findings identify the key anatomic structures involved in language functioning in adult glioma patients using an innovative lesion analysis technique and suggest that expressive language abilities may be more task-dependent and distributed than receptive language abilities.
Experimental study on GMM-based speaker recognition
NASA Astrophysics Data System (ADS)
Ye, Wenxing; Wu, Dapeng; Nucci, Antonio
2010-04-01
Speaker recognition plays a very important role in the field of biometric security. In order to improve the recognition performance, many pattern recognition techniques have be explored in the literature. Among these techniques, the Gaussian Mixture Model (GMM) is proved to be an effective statistic model for speaker recognition and is used in most state-of-the-art speaker recognition systems. The GMM is used to represent the 'voice print' of a speaker through modeling the spectral characteristic of speech signals of the speaker. In this paper, we implement a speaker recognition system, which consists of preprocessing, Mel-Frequency Cepstrum Coefficients (MFCCs) based feature extraction, and GMM based classification. We test our system with TIDIGITS data set (325 speakers) and our own recordings of more than 200 speakers; our system achieves 100% correct recognition rate. Moreover, we also test our system under the scenario that training samples are from one language but test samples are from a different language; our system also achieves 100% correct recognition rate, which indicates that our system is language independent.
Information Extraction Using Controlled English to Support Knowledge-Sharing and Decision-Making
2012-06-01
or language variants. CE-based information extraction will greatly facilitate the processes in the cognitive and social domains that enable forces...terminology or language variants. CE-based information extraction will greatly facilitate the processes in the cognitive and social domains that...processor is run to turn the atomic CE into a more “ stylistically felicitous” CE, using techniques such as: aggregating all information about an entity
Aphasia: Current Concepts in Theory and Practice
Tippett, Donna C.; Niparko, John K.; Hillis, Argye E.
2014-01-01
Recent advances in neuroimaging contribute to a new insights regarding brain-behavior relationships and expand understanding of the functional neuroanatomy of language. Modern concepts of the functional neuroanatomy of language invoke rich and complex models of language comprehension and expression, such as dual stream networks. Increasingly, aphasia is seen as a disruption of cognitive processes underlying language. Rehabilitation of aphasia incorporates evidence based and person-centered approaches. Novel techniques, such as methods of delivering cortical brain stimulation to modulate cortical excitability, such as repetitive transcranial magnetic stimulation and transcranial direct current stimulation, are just beginning to be explored. In this review, we discuss the historical context of the foundations of neuroscientific approaches to language. We sample the emergent theoretical models of the neural substrates of language and cognitive processes underlying aphasia that contribute to more refined and nuanced concepts of language. Current concepts of aphasia rehabilitation are reviewed, including the promising role of cortical stimulation as an adjunct to behavioral therapy and changes in therapeutic approaches based on principles of neuroplasticity and evidence-based/person-centered practice to optimize functional outcomes. PMID:24904925
Talking It Through: Collaborative Dialogue and Second Language Learning
ERIC Educational Resources Information Center
Ammar, Ahlem; Hassan, Rania Mohamed
2018-01-01
This quasi-experimental study examined the potential benefits of zero-error dictation, a teaching technique based on dialogue-driven dictation, and the extent to which target linguistic features and proficiency levels mediated its effects on second language (L2) learners' accurate use of French grammatical morphology. Seventy-nine learners of L2…
A System for English Vocabulary Acquisition Based on Code-Switching
ERIC Educational Resources Information Center
Mazur, Michal; Karolczak, Krzysztof; Rzepka, Rafal; Araki, Kenji
2016-01-01
Vocabulary plays an important part in second language learning and there are many existing techniques to facilitate word acquisition. One of these methods is code-switching, or mixing the vocabulary of two languages in one sentence. In this paper the authors propose an experimental system for computer-assisted English vocabulary learning in…
Extending enterprise architecture modelling with business goals and requirements
NASA Astrophysics Data System (ADS)
Engelsman, Wilco; Quartel, Dick; Jonkers, Henk; van Sinderen, Marten
2011-02-01
The methods for enterprise architecture (EA), such as The Open Group Architecture Framework, acknowledge the importance of requirements modelling in the development of EAs. Modelling support is needed to specify, document, communicate and reason about goals and requirements. The current modelling techniques for EA focus on the products, services, processes and applications of an enterprise. In addition, techniques may be provided to describe structured requirements lists and use cases. Little support is available however for modelling the underlying motivation of EAs in terms of stakeholder concerns and the high-level goals that address these concerns. This article describes a language that supports the modelling of this motivation. The definition of the language is based on existing work on high-level goal and requirements modelling and is aligned with an existing standard for enterprise modelling: the ArchiMate language. Furthermore, the article illustrates how EA can benefit from analysis techniques from the requirements engineering domain.
Accelerated Learning Techniques for the Foreign Language Class: A Personal View.
ERIC Educational Resources Information Center
Bancroft, W. Jane
Foreign language instructors cope with problems of learner anxiety in the classroom, fossilization of language use and language skill loss. Relaxation and concentration techniques can alleviate stress and fatigue and improve students' capabilities. Three categories of accelerated learning techniques are: (1) those that serve as a preliminary to…
Automatic Dictionary Expansion Using Non-parallel Corpora
NASA Astrophysics Data System (ADS)
Rapp, Reinhard; Zock, Michael
Automatically generating bilingual dictionaries from parallel, manually translated texts is a well established technique that works well in practice. However, parallel texts are a scarce resource. Therefore, it is desirable also to be able to generate dictionaries from pairs of comparable monolingual corpora. For most languages, such corpora are much easier to acquire, and often in considerably larger quantities. In this paper we present the implementation of an algorithm which exploits such corpora with good success. Based on the assumption that the co-occurrence patterns between different languages are related, it expands a small base lexicon. For improved performance, it also realizes a novel interlingua approach. That is, if corpora of more than two languages are available, the translations from one language to another can be determined not only directly, but also indirectly via a pivot language.
Introduction to Information Visualization (InfoVis) Techniques for Model-Based Systems Engineering
NASA Technical Reports Server (NTRS)
Sindiy, Oleg; Litomisky, Krystof; Davidoff, Scott; Dekens, Frank
2013-01-01
This paper presents insights that conform to numerous system modeling languages/representation standards. The insights are drawn from best practices of Information Visualization as applied to aerospace-based applications.
Andrews, Jean F; Rusher, Melissa
2010-01-01
The authors present a perspective on emerging bilingual deaf students who are exposed to, learning, and developing two languages--American Sign Language (ASL) and English (spoken English, manually coded English, and English reading and writing). The authors suggest that though deaf children may lack proficiency or fluency in either language during early language-learning development, they still engage in codeswitching activities, in which they go back and forth between signing and English to communicate. The authors then provide a second meaning of codeswitching--as a purpose-driven instructional technique in which the teacher strategically changes from ASL to English print for purposes of vocabulary and reading comprehension. The results of four studies are examined that suggest that certain codeswitching strategies support English vocabulary learning and reading comprehension. These instructional strategies are couched in a five-pronged approach to furthering the development of bilingual education for deaf students.
Suggestopedia and Memory Training in the Foreign Language Classroom.
ERIC Educational Resources Information Center
Bancroft, W. Jane
Based on observations made in Bulgaria in the 1970s, it is proposed that the original version of Suggestopedia for second language training, used in Bulgaria and other Eastern European countries in the late 1960s and early 1970s, differs significantly from the techniques developed later, in particular in concentration on and memorization of…
Syilx Language House: How and Why We Are Delivering 2,000 Decolonizing Hours in Nsyilxcn
ERIC Educational Resources Information Center
Johnson, S?ímla?xw Michele K.
2017-01-01
The Syilx Language House has completed two years of a four-year, 2,000-hour program to create new adult Nsyilxcn speakers, based on Syilx communities' specific priorities. Our critically endangered status requires radically decolonizing teaching techniques. Nsyilxcn (Okanagan) teachers are learners, trained to deliver sequenced curriculum in full…
ERIC Educational Resources Information Center
Freeman, Robert R.; And Others
The main results of the survey-and-analysis stage include a substantial collection of preliminary data on the language-sciences information user community, its professional specialties and information channels, its indexing tools, and its terminologies. The prospects and techniques for the development of a modern, discipline-based information…
A New Paradigm for Individual Subject Language Mapping: Movie-Watching fMRI.
Tie, Yanmei; Rigolo, Laura; Ozdemir Ovalioglu, Aysegul; Olubiyi, Olutayo; Doolin, Kelly L; Mukundan, Srinivasan; Golby, Alexandra J
2015-01-01
Functional MRI (fMRI) based on language tasks has been used in presurgical language mapping in patients with lesions in or near putative language areas. However, if patients have difficulty performing the tasks due to neurological deficits, it leads to unreliable or noninterpretable results. In this study, we investigate the feasibility of using a movie-watching fMRI for language mapping. A 7-minute movie clip with contrasting speech and nonspeech segments was shown to 22 right-handed healthy subjects. Based on all subjects' language functional regions-of-interest, 6 language response areas were defined, within which a language response model (LRM) was derived by extracting the main temporal activation profile. Using a leave-one-out procedure, individuals' language areas were identified as the areas that expressed highly correlated temporal responses with the LRM derived from an independent group of subjects. Compared with an antonym generation task-based fMRI, the movie-watching fMRI generated language maps with more localized activations in the left frontal language area, larger activations in the left temporoparietal language area, and significant activations in their right-hemisphere homologues. Results of 2 brain tumor patients' movie-watching fMRI using the LRM derived from the healthy subjects indicated its ability to map putative language areas; while their task-based fMRI maps were less robust and noisier. These results suggest that it is feasible to use this novel "task-free" paradigm as a complementary tool for fMRI language mapping when patients cannot perform the tasks. Its deployment in more neurosurgical patients and validation against gold-standard techniques need further investigation. Copyright © 2015 by the American Society of Neuroimaging.
A new paradigm for individual subject language mapping: Movie-watching fMRI
Tie, Yanmei; Rigolo, Laura; Ovalioglu, Aysegul Ozdemir; Olubiyi, Olutayo; Doolin, Kelly L.; Mukundan, Srinivasan; Golby, Alexandra J.
2015-01-01
Background Functional MRI (fMRI) based on language tasks has been used in pre-surgical language mapping in patients with lesions in or near putative language areas. However, if the patients have difficulty performing the tasks due to neurological deficits, it leads to unreliable or non-interpretable results. In this study, we investigate the feasibility of using a movie-watching fMRI for language mapping. Methods A 7-min movie clip with contrasting speech and non-speech segments was shown to 22 right-handed healthy subjects. Based on all subjects' language functional regions-of-interest, six language response areas were defined, within which a language response model (LRM) was derived by extracting the main temporal activation profile. Using a leave-one-out procedure, individuals' language areas were identified as the areas that expressed highly correlated temporal responses with the LRM derived from an independent group of subjects. Results Compared with an antonym generation task-based fMRI, the movie-watching fMRI generated language maps with more localized activations in the left frontal language area, larger activations in the left temporoparietal language area, and significant activations in their right-hemisphere homologues. Results of two brain tumor patients' movie-watching fMRI using the LRM derived from the healthy subjects indicated its ability to map putative language areas; while their task-based fMRI maps were less robust and noisier. Conclusions These results suggest that it is feasible to use this novel “task-free” paradigm as a complementary tool for fMRI language mapping when patients cannot perform the tasks. Its deployment in more neurosurgical patients and validation against gold-standard techniques need further investigation. PMID:25962953
Genetic algorithms using SISAL parallel programming language
DOE Office of Scientific and Technical Information (OSTI.GOV)
Tejada, S.
1994-05-06
Genetic algorithms are a mathematical optimization technique developed by John Holland at the University of Michigan [1]. The SISAL programming language possesses many of the characteristics desired to implement genetic algorithms. SISAL is a deterministic, functional programming language which is inherently parallel. Because SISAL is functional and based on mathematical concepts, genetic algorithms can be efficiently translated into the language. Several of the steps involved in genetic algorithms, such as mutation, crossover, and fitness evaluation, can be parallelized using SISAL. In this paper I will l discuss the implementation and performance of parallel genetic algorithms in SISAL.
Terminology model discovery using natural language processing and visualization techniques.
Zhou, Li; Tao, Ying; Cimino, James J; Chen, Elizabeth S; Liu, Hongfang; Lussier, Yves A; Hripcsak, George; Friedman, Carol
2006-12-01
Medical terminologies are important for unambiguous encoding and exchange of clinical information. The traditional manual method of developing terminology models is time-consuming and limited in the number of phrases that a human developer can examine. In this paper, we present an automated method for developing medical terminology models based on natural language processing (NLP) and information visualization techniques. Surgical pathology reports were selected as the testing corpus for developing a pathology procedure terminology model. The use of a general NLP processor for the medical domain, MedLEE, provides an automated method for acquiring semantic structures from a free text corpus and sheds light on a new high-throughput method of medical terminology model development. The use of an information visualization technique supports the summarization and visualization of the large quantity of semantic structures generated from medical documents. We believe that a general method based on NLP and information visualization will facilitate the modeling of medical terminologies.
A formal approach to the analysis of clinical computer-interpretable guideline modeling languages.
Grando, M Adela; Glasspool, David; Fox, John
2012-01-01
To develop proof strategies to formally study the expressiveness of workflow-based languages, and to investigate their applicability to clinical computer-interpretable guideline (CIG) modeling languages. We propose two strategies for studying the expressiveness of workflow-based languages based on a standard set of workflow patterns expressed as Petri nets (PNs) and notions of congruence and bisimilarity from process calculus. Proof that a PN-based pattern P can be expressed in a language L can be carried out semi-automatically. Proof that a language L cannot provide the behavior specified by a PNP requires proof by exhaustion based on analysis of cases and cannot be performed automatically. The proof strategies are generic but we exemplify their use with a particular CIG modeling language, PROforma. To illustrate the method we evaluate the expressiveness of PROforma against three standard workflow patterns and compare our results with a previous similar but informal comparison. We show that the two proof strategies are effective in evaluating a CIG modeling language against standard workflow patterns. We find that using the proposed formal techniques we obtain different results to a comparable previously published but less formal study. We discuss the utility of these analyses as the basis for principled extensions to CIG modeling languages. Additionally we explain how the same proof strategies can be reused to prove the satisfaction of patterns expressed in the declarative language CIGDec. The proof strategies we propose are useful tools for analysing the expressiveness of CIG modeling languages. This study provides good evidence of the benefits of applying formal methods of proof over semi-formal ones. Copyright © 2011 Elsevier B.V. All rights reserved.
A high-level language for rule-based modelling.
Pedersen, Michael; Phillips, Andrew; Plotkin, Gordon D
2015-01-01
Rule-based languages such as Kappa excel in their support for handling the combinatorial complexities prevalent in many biological systems, including signalling pathways. But Kappa provides little structure for organising rules, and large models can therefore be hard to read and maintain. This paper introduces a high-level, modular extension of Kappa called LBS-κ. We demonstrate the constructs of the language through examples and three case studies: a chemotaxis switch ring, a MAPK cascade, and an insulin signalling pathway. We then provide a formal definition of LBS-κ through an abstract syntax and a translation to plain Kappa. The translation is implemented in a compiler tool which is available as a web application. We finally demonstrate how to increase the expressivity of LBS-κ through embedded scripts in a general-purpose programming language, a technique which we view as generally applicable to other domain specific languages.
A High-Level Language for Rule-Based Modelling
Pedersen, Michael; Phillips, Andrew; Plotkin, Gordon D.
2015-01-01
Rule-based languages such as Kappa excel in their support for handling the combinatorial complexities prevalent in many biological systems, including signalling pathways. But Kappa provides little structure for organising rules, and large models can therefore be hard to read and maintain. This paper introduces a high-level, modular extension of Kappa called LBS-κ. We demonstrate the constructs of the language through examples and three case studies: a chemotaxis switch ring, a MAPK cascade, and an insulin signalling pathway. We then provide a formal definition of LBS-κ through an abstract syntax and a translation to plain Kappa. The translation is implemented in a compiler tool which is available as a web application. We finally demonstrate how to increase the expressivity of LBS-κ through embedded scripts in a general-purpose programming language, a technique which we view as generally applicable to other domain specific languages. PMID:26043208
V2S: Voice to Sign Language Translation System for Malaysian Deaf People
NASA Astrophysics Data System (ADS)
Mean Foong, Oi; Low, Tang Jung; La, Wai Wan
The process of learning and understand the sign language may be cumbersome to some, and therefore, this paper proposes a solution to this problem by providing a voice (English Language) to sign language translation system using Speech and Image processing technique. Speech processing which includes Speech Recognition is the study of recognizing the words being spoken, regardless of whom the speaker is. This project uses template-based recognition as the main approach in which the V2S system first needs to be trained with speech pattern based on some generic spectral parameter set. These spectral parameter set will then be stored as template in a database. The system will perform the recognition process through matching the parameter set of the input speech with the stored templates to finally display the sign language in video format. Empirical results show that the system has 80.3% recognition rate.
ERIC Educational Resources Information Center
Coates, Robert Alexander Graham; Gorham, Judith; Nicholas, Richard
2017-01-01
Recent neurological breakthroughs in our understanding of the Critical Period Hypothesis and prosody may suggest strategies on how phonics instruction could improve L2 language learning and in particular phoneme/grapheme decoding. We therefore conducted a randomised controlled-trial on the application of prosody and phonics techniques, to improve…
Evaluation of Natural Language Processors.
1980-11-01
techniques described. Common practice in describing natural language processors is to describe the programs, then give about 20 examples of correctly...make a decision based on performance as to which approaches are most promising for further research and development. The lack of evaluation leaves...successively more difficult problems. This approach might be compared to children taking achievement tests in school. A 90% score on problems involving
What Do You Say When...?: Best Practice Language for Improving Student Behavior
ERIC Educational Resources Information Center
Holloman, Hal; Yates, Peggy H.
2010-01-01
Do you remember a time when you used the right words at the right moment, and they made all the difference? With the aim of helping you repeat that experience every day, this book provides hundreds of examples of what we call "Best Practice Language" (BPL), a research-based technique designed to help teachers use words to improve student…
Using Mixed-Modality Learning Strategies via e-Learning for Second Language Vocabulary Acquisition
ERIC Educational Resources Information Center
Yang, Fang-Chuan Ou; Wu, Wen-Chi Vivian
2015-01-01
This study demonstrated an e-learning system, MyEVA, based on a mixed-modality vocabulary strategy in assisting learners of English as a second language (L2 learners) to improve their vocabulary. To explore the learning effectiveness of MyEVA, the study compared four vocabulary-learning techniques, MyEVA in preference mode, MyEVA in basic mode, an…
Ontology-based, multi-agent support of production management
NASA Astrophysics Data System (ADS)
Meridou, Despina T.; Inden, Udo; Rückemann, Claus-Peter; Patrikakis, Charalampos Z.; Kaklamani, Dimitra-Theodora I.; Venieris, Iakovos S.
2016-06-01
Over the recent years, the reported incidents on failed aircraft ramp-ups or the delayed production in small-lots have increased substantially. In this paper, we present a production management platform that combines agent-based techniques with the Service Oriented Architecture paradigm. This platform takes advantage of the functionality offered by the semantic web language OWL, which allows the users and services of the platform to speak a common language and, at the same time, facilitates risk management and decision making.
ICTNET at Microblog Track TREC 2012
2012-11-01
Weight(T) = 1 _(()) ∗ ∑ () ∗ () ∑ ()∈ () In external expansion, we use Google ...based on language model, we choose stupid backoff as the smoothing technique and “queue” as the history retention technique[7].In the filter based on...is used in ICTWDSERUN2. In both ICTWDSERUN3 and ICTWDSERUN4, we use google search results as query expansion. RankSVMmethod is used in both
Construction of dynamic stochastic simulation models using knowledge-based techniques
NASA Technical Reports Server (NTRS)
Williams, M. Douglas; Shiva, Sajjan G.
1990-01-01
Over the past three decades, computer-based simulation models have proven themselves to be cost-effective alternatives to the more structured deterministic methods of systems analysis. During this time, many techniques, tools and languages for constructing computer-based simulation models have been developed. More recently, advances in knowledge-based system technology have led many researchers to note the similarities between knowledge-based programming and simulation technologies and to investigate the potential application of knowledge-based programming techniques to simulation modeling. The integration of conventional simulation techniques with knowledge-based programming techniques is discussed to provide a development environment for constructing knowledge-based simulation models. A comparison of the techniques used in the construction of dynamic stochastic simulation models and those used in the construction of knowledge-based systems provides the requirements for the environment. This leads to the design and implementation of a knowledge-based simulation development environment. These techniques were used in the construction of several knowledge-based simulation models including the Advanced Launch System Model (ALSYM).
Kapantzoglou, Maria; Fergadiotis, Gerasimos; Restrepo, M Adelaida
2017-10-17
This study examined whether the language sample elicitation technique (i.e., storytelling and story-retelling tasks with pictorial support) affects lexical diversity (D), grammaticality (grammatical errors per communication unit [GE/CU]), sentence length (mean length of utterance in words [MLUw]), and sentence complexity (subordination index [SI]), which are commonly used indices for diagnosing primary language impairment in Spanish-English-speaking children in the United States. Twenty bilingual Spanish-English-speaking children with typical language development and 20 with primary language impairment participated in the study. Four analyses of variance were conducted to evaluate the effect of language elicitation technique and group on D, GE/CU, MLUw, and SI. Also, 2 discriminant analyses were conducted to assess which indices were more effective for story retelling and storytelling and their classification accuracy across elicitation techniques. D, MLUw, and SI were influenced by the type of elicitation technique, but GE/CU was not. The classification accuracy of language sample analysis was greater in story retelling than in storytelling, with GE/CU and D being useful indicators of language abilities in story retelling and GE/CU and SI in storytelling. Two indices in language sample analysis may be sufficient for diagnosis in 4- to 5-year-old bilingual Spanish-English-speaking children.
A Monte Carlo Simulation of Brownian Motion in the Freshman Laboratory
ERIC Educational Resources Information Center
Anger, C. D.; Prescott, J. R.
1970-01-01
Describes a dry- lab" experiment for the college freshman laboratory, in which the essential features of Browian motion are given principles, using the Monte Carlo technique. Calculations principles, using the Monte Carlo technique. Calculations are carried out by a computation sheme based on computer language. Bibliography. (LC)
"Intelligent" Computer Assisted Instruction (CAI) Applications. Interim Report.
ERIC Educational Resources Information Center
Brown, John Seely; And Others
Interim work is documented describing efforts to modify computer techniques used to recognize and process English language requests to an instructional simulator. The conversion from a hand-coded to a table driven technique are described in detail. Other modifications to a simulation based computer assisted instruction program to allow a gaming…
NASA Astrophysics Data System (ADS)
Ciaramello, Francis M.; Hemami, Sheila S.
2007-02-01
For members of the Deaf Community in the United States, current communication tools include TTY/TTD services, video relay services, and text-based communication. With the growth of cellular technology, mobile sign language conversations are becoming a possibility. Proper coding techniques must be employed to compress American Sign Language (ASL) video for low-rate transmission while maintaining the quality of the conversation. In order to evaluate these techniques, an appropriate quality metric is needed. This paper demonstrates that traditional video quality metrics, such as PSNR, fail to predict subjective intelligibility scores. By considering the unique structure of ASL video, an appropriate objective metric is developed. Face and hand segmentation is performed using skin-color detection techniques. The distortions in the face and hand regions are optimally weighted and pooled across all frames to create an objective intelligibility score for a distorted sequence. The objective intelligibility metric performs significantly better than PSNR in terms of correlation with subjective responses.
ERIC Educational Resources Information Center
Sucuoglu, Esen
2017-01-01
The aim of this study is to determine the perceptions of English language teachers teaching at a preparatory school in relation to their knowing and applying contemporary language teaching techniques in their lessons. An investigation was conducted of 21 English language teachers at a preparatory school in North Cyprus. The SPSS statistical…
English-as-a-Second-Language Programs in Basic Skills Education Program 1
1984-01-01
languages and English as a second language . These theories and findings have led, in turn, to the development of new methods for teaching languages ...INTRODUCTION TO TEACHING TECHNIQUES FOR ENGLISH AS A SECOND LANGUAGE . . . . . . . . . . . . 9 Introduction ............................. 9 Traditional Methods ...instruments. q8 . _. ,’,..8 4% .’ II. A BRIEF INTRODUCTION TO TEACHING TECHNIQUES FOR ENGLISH
ERIC Educational Resources Information Center
Mayer, John; Kieras, David E.
Using a system based on standard augmented transition network (ATN) parsing approach, this report describes a technique for the rapid development of natural language parsing, called High-Level Grammar Specification Language (HGSL). The first part of the report describes the syntax and semantics of HGSL and the network implementation of each of its…
Promises and Obstacles of L1 Use in Language Classrooms: A State-of-the-Art Review
ERIC Educational Resources Information Center
Ghobadi, Mehdi; Ghasemi, Hadi
2015-01-01
Translation and language teaching techniques which take language learners' first language (L1) as point of reference for teaching the second language (L2) have been long discouraged on the ground that these teaching techniques would end in the fossilization of L2 structure forms in the learner's Interlanguage system. However, in recent years, the…
The Language-Culture Interface in German Advertisements.
ERIC Educational Resources Information Center
Gramberg, Anne-Katrin
A comparison of German and American advertising reveals differences in technique and structures. Persuasion is central in both, but the grammatical structures and illocutionary devices available in each language vary. The culture is also reflected in the type and degree to which each language uses techniques of persuasive language. The findings…
Teaching Reading through Language. TECHNIQUES.
ERIC Educational Resources Information Center
Jones, Edward V.
1986-01-01
Because reading is first and foremost a language comprehension process focusing on the visual form of spoken language, such teaching strategies as language experience and assisted reading have much to offer beginning readers. These techniques have been slow to become accepted by many adult literacy instructors; however, the two strategies,…
Health sciences descriptors in the brazilian speech-language and hearing science.
Campanatti-Ostiz, Heliane; Andrade, Claudia Regina Furquim de
2010-01-01
Terminology in Speech-Language and Hearing Science. To propose a specific thesaurus about the Speech-Language and Hearing Science, for the English, Portuguese and Spanish languages, based on the existing keywords available on the Health Sciences Descriptors (DeCS). Methodology was based on the pilot study developed by Campanatti-Ostiz and Andrade; that had as a purpose to verify the methodological viability for the creation of a Speech-Language and Hearing Science category in the DeCS. The scientific journals selected for analyses of the titles, abstracts and keywords of all scientific articles were those in the field of the Speech-Language and Hearing Science, indexed on the SciELO. 1. Recovery of the Descriptors in the English language (Medical Subject Headings--MeSH); 2. Recovery and hierarchic organization of the descriptors in the Portuguese language was done (DeCS). The obtained data was analyzed as follows: descriptive analyses and relative relevance analyses of the DeCS areas. Based on the first analyses, we decided to select all 761 descriptors, with all the hierarchic numbers, independently of their occurrence (occurrence number--ON), and based on the second analyses, we decided to propose to exclude the less relevant areas and the exclusive DeCS areas. The proposal was finished with a total of 1676 occurrences of DeCS descriptors, distributed in the following areas: Anatomy; Diseases; Analytical, Diagnostic and Therapeutic Techniques and Equipments; Psychiatry and Psychology; Phenomena and Processes; Health Care. The presented proposal of a thesaurus contains the specific terminology of the Brazilian Speech-Language and Hearing Sciences and reflects the descriptors of the published scientific production. Being the DeCS a trilingual vocabulary (Portuguese, English and Spanish), the present descriptors organization proposition can be used in these three languages, allowing greater cultural interchange between different nations.
Narayanan, Shrikanth; Georgiou, Panayiotis G
2013-02-07
The expression and experience of human behavior are complex and multimodal and characterized by individual and contextual heterogeneity and variability. Speech and spoken language communication cues offer an important means for measuring and modeling human behavior. Observational research and practice across a variety of domains from commerce to healthcare rely on speech- and language-based informatics for crucial assessment and diagnostic information and for planning and tracking response to an intervention. In this paper, we describe some of the opportunities as well as emerging methodologies and applications of human behavioral signal processing (BSP) technology and algorithms for quantitatively understanding and modeling typical, atypical, and distressed human behavior with a specific focus on speech- and language-based communicative, affective, and social behavior. We describe the three important BSP components of acquiring behavioral data in an ecologically valid manner across laboratory to real-world settings, extracting and analyzing behavioral cues from measured data, and developing models offering predictive and decision-making support. We highlight both the foundational speech and language processing building blocks as well as the novel processing and modeling opportunities. Using examples drawn from specific real-world applications ranging from literacy assessment and autism diagnostics to psychotherapy for addiction and marital well being, we illustrate behavioral informatics applications of these signal processing techniques that contribute to quantifying higher level, often subjectively described, human behavior in a domain-sensitive fashion.
ROOT.NET: Using ROOT from .NET languages like C# and F#
NASA Astrophysics Data System (ADS)
Watts, G.
2012-12-01
ROOT.NET provides an interface between Microsoft's Common Language Runtime (CLR) and .NET technology and the ubiquitous particle physics analysis tool, ROOT. ROOT.NET automatically generates a series of efficient wrappers around the ROOT API. Unlike pyROOT, these wrappers are statically typed and so are highly efficient as compared to the Python wrappers. The connection to .NET means that one gains access to the full series of languages developed for the CLR including functional languages like F# (based on OCaml). Many features that make ROOT objects work well in the .NET world are added (properties, IEnumerable interface, LINQ compatibility, etc.). Dynamic languages based on the CLR can be used as well, of course (Python, for example). Additionally it is now possible to access ROOT objects that are unknown to the translation tool. This poster will describe the techniques used to effect this translation, along with performance comparisons, and examples. All described source code is posted on the open source site CodePlex.
NASA Technical Reports Server (NTRS)
LaValley, Brian W.; Little, Phillip D.; Walter, Chris J.
2011-01-01
This report documents the capabilities of the EDICT tools for error modeling and error propagation analysis when operating with models defined in the Architecture Analysis & Design Language (AADL). We discuss our experience using the EDICT error analysis capabilities on a model of the Scalable Processor-Independent Design for Enhanced Reliability (SPIDER) architecture that uses the Reliable Optical Bus (ROBUS). Based on these experiences we draw some initial conclusions about model based design techniques for error modeling and analysis of highly reliable computing architectures.
Practical Techniques for Language Design and Prototyping
2005-01-01
Practical Techniques for Language Design and Prototyping Mark-Oliver Stehr1 and Carolyn L. Talcott2 1 University of Illinois at Urbana-Champaign...cs.stanford.edu Abstract. Global computing involves the interplay of a vast variety of languages , but practially useful foundations for language ...framework, namely rewriting logic, that allows us to express (1) and (2) and, in addition, language aspects such as concurrency and non-determinism. We
Algorithm Building and Learning Programming Languages Using a New Educational Paradigm
NASA Astrophysics Data System (ADS)
Jain, Anshul K.; Singhal, Manik; Gupta, Manu Sheel
2011-08-01
This research paper presents a new concept of using a single tool to associate syntax of various programming languages, algorithms and basic coding techniques. A simple framework has been programmed in Python that helps students learn skills to develop algorithms, and implement them in various programming languages. The tool provides an innovative and a unified graphical user interface for development of multimedia objects, educational games and applications. It also aids collaborative learning amongst students and teachers through an integrated mechanism based on Remote Procedure Calls. The paper also elucidates an innovative method for code generation to enable students to learn the basics of programming languages using drag-n-drop methods for image objects.
Language Classification using N-grams Accelerated by FPGA-based Bloom Filters
DOE Office of Scientific and Technical Information (OSTI.GOV)
Jacob, A; Gokhale, M
N-Gram (n-character sequences in text documents) counting is a well-established technique used in classifying the language of text in a document. In this paper, n-gram processing is accelerated through the use of reconfigurable hardware on the XtremeData XD1000 system. Our design employs parallelism at multiple levels, with parallel Bloom Filters accessing on-chip RAM, parallel language classifiers, and parallel document processing. In contrast to another hardware implementation (HAIL algorithm) that uses off-chip SRAM for lookup, our highly scalable implementation uses only on-chip memory blocks. Our implementation of end-to-end language classification runs at 85x comparable software and 1.45x the competing hardware design.
On describing human white matter anatomy: the white matter query language.
Wassermann, Demian; Makris, Nikos; Rathi, Yogesh; Shenton, Martha; Kikinis, Ron; Kubicki, Marek; Westin, Carl-Fredrik
2013-01-01
The main contribution of this work is the careful syntactical definition of major white matter tracts in the human brain based on a neuroanatomist's expert knowledge. We present a technique to formally describe white matter tracts and to automatically extract them from diffusion MRI data. The framework is based on a novel query language with a near-to-English textual syntax. This query language allows us to construct a dictionary of anatomical definitions describing white matter tracts. The definitions include adjacent gray and white matter regions, and rules for spatial relations. This enables automated coherent labeling of white matter anatomy across subjects. We use our method to encode anatomical knowledge in human white matter describing 10 association and 8 projection tracts per hemisphere and 7 commissural tracts. The technique is shown to be comparable in accuracy to manual labeling. We present results applying this framework to create a white matter atlas from 77 healthy subjects, and we use this atlas in a proof-of-concept study to detect tract changes specific to schizophrenia.
Applications of NLP Techniques to Computer-Assisted Authoring of Test Items for Elementary Chinese
ERIC Educational Resources Information Center
Liu, Chao-Lin; Lin, Jen-Hsiang; Wang, Yu-Chun
2010-01-01
The authors report an implemented environment for computer-assisted authoring of test items and provide a brief discussion about the applications of NLP techniques for computer assisted language learning. Test items can serve as a tool for language learners to examine their competence in the target language. The authors apply techniques for…
Generating realistic images using Kray
NASA Astrophysics Data System (ADS)
Tanski, Grzegorz
2004-07-01
Kray is an application for creating realistic images. It is written in C++ programming language, has a text-based interface, solves global illumination problem using techniques such as radiosity, path tracing and photon mapping.
Interactive Pedagogy in a Literature Based Classroom.
ERIC Educational Resources Information Center
Mayer, Virginia
1993-01-01
Preserving a literary-based curriculum, creating a sensitivity to the literature, and encouraging communicative skills relative to the literature are significant goals in foreign language study. Therefore, a program involving strategic interaction and cooperative learning techniques applied to the study of literature fosters communication and…
Overcoming Terminology Barrier Using Web Resources for Cross-Language Medical Information Retrieval
Lu, Wen-Hsiang; Lin, Ray Shih-Jui; Chan, Yi-Che; Chen, Kuan-Hsi
2006-01-01
A number of authoritative medical websites, such as PubMed and MedlinePlus, provide consumers with the most up-to-date health information. However, non-English speakers often encounter not only language barriers (from other languages to English) but also terminology barriers (from laypersons’ terms to professional medical terms) when retrieving information from these websites. Our previous work addresses language barriers by developing a multilingual medical thesaurus, Chinese-English MeSH, while this study presents an approach to overcome terminology barriers based on Web resources. Two techniques were utilized in our approach: monolingual concept mapping using approximate string matching and crosslingual concept mapping using Web resources. The evaluation shows that our approach can significantly improve the performance on MeSH concept mapping and cross-language medical information retrieval. PMID:17238395
Analysis of Web Spam for Non-English Content: Toward More Effective Language-Based Classifiers
Alsaleh, Mansour; Alarifi, Abdulrahman
2016-01-01
Web spammers aim to obtain higher ranks for their web pages by including spam contents that deceive search engines in order to include their pages in search results even when they are not related to the search terms. Search engines continue to develop new web spam detection mechanisms, but spammers also aim to improve their tools to evade detection. In this study, we first explore the effect of the page language on spam detection features and we demonstrate how the best set of detection features varies according to the page language. We also study the performance of Google Penguin, a newly developed anti-web spamming technique for their search engine. Using spam pages in Arabic as a case study, we show that unlike similar English pages, Google anti-spamming techniques are ineffective against a high proportion of Arabic spam pages. We then explore multiple detection features for spam pages to identify an appropriate set of features that yields a high detection accuracy compared with the integrated Google Penguin technique. In order to build and evaluate our classifier, as well as to help researchers to conduct consistent measurement studies, we collected and manually labeled a corpus of Arabic web pages, including both benign and spam pages. Furthermore, we developed a browser plug-in that utilizes our classifier to warn users about spam pages after clicking on a URL and by filtering out search engine results. Using Google Penguin as a benchmark, we provide an illustrative example to show that language-based web spam classifiers are more effective for capturing spam contents. PMID:27855179
Analysis of Web Spam for Non-English Content: Toward More Effective Language-Based Classifiers.
Alsaleh, Mansour; Alarifi, Abdulrahman
2016-01-01
Web spammers aim to obtain higher ranks for their web pages by including spam contents that deceive search engines in order to include their pages in search results even when they are not related to the search terms. Search engines continue to develop new web spam detection mechanisms, but spammers also aim to improve their tools to evade detection. In this study, we first explore the effect of the page language on spam detection features and we demonstrate how the best set of detection features varies according to the page language. We also study the performance of Google Penguin, a newly developed anti-web spamming technique for their search engine. Using spam pages in Arabic as a case study, we show that unlike similar English pages, Google anti-spamming techniques are ineffective against a high proportion of Arabic spam pages. We then explore multiple detection features for spam pages to identify an appropriate set of features that yields a high detection accuracy compared with the integrated Google Penguin technique. In order to build and evaluate our classifier, as well as to help researchers to conduct consistent measurement studies, we collected and manually labeled a corpus of Arabic web pages, including both benign and spam pages. Furthermore, we developed a browser plug-in that utilizes our classifier to warn users about spam pages after clicking on a URL and by filtering out search engine results. Using Google Penguin as a benchmark, we provide an illustrative example to show that language-based web spam classifiers are more effective for capturing spam contents.
Idea Sharing: Using Peer Assessment to Teach How to Make Oral Summaries in English Language Classes
ERIC Educational Resources Information Center
Ivanova, Olimpiada F.
2014-01-01
In this "Idea Sharing" article, the author describes the techniques used when teaching oral summary making to second-year students studying Business English at the Faculty of World Economy and International Affairs of the National Research University Higher School of Economics, Moscow. The techniques are based on peer assessment, which…
ERIC Educational Resources Information Center
Blanchard, Alexia; Kraif, Olivier; Ponton, Claude
2009-01-01
This paper presents a "didactic triangulation" strategy to cope with the problem of reliability of NLP applications for computer-assisted language learning (CALL) systems. It is based on the implementation of basic but well mastered NLP techniques and puts the emphasis on an adapted gearing between computable linguistic clues and didactic features…
Towards a formal semantics for Ada 9X
NASA Technical Reports Server (NTRS)
Guaspari, David; Mchugh, John; Wolfgang, Polak; Saaltink, Mark
1995-01-01
The Ada 9X language precision team was formed during the revisions of Ada 83, with the goal of analyzing the proposed design, identifying problems, and suggesting improvements, through the use of mathematical models. This report defines a framework for formally describing Ada 9X, based on Kahn's 'natural semantics', and applies the framework to portions of the language. The proposals for exceptions and optimization freedoms are also analyzed, using a different technique.
Selecting reusable components using algebraic specifications
NASA Technical Reports Server (NTRS)
Eichmann, David A.
1992-01-01
A significant hurdle confronts the software reuser attempting to select candidate components from a software repository - discriminating between those components without resorting to inspection of the implementation(s). We outline a mixed classification/axiomatic approach to this problem based upon our lattice-based faceted classification technique and Guttag and Horning's algebraic specification techniques. This approach selects candidates by natural language-derived classification, by their interfaces, using signatures, and by their behavior, using axioms. We briefly outline our problem domain and related work. Lattice-based faceted classifications are described; the reader is referred to surveys of the extensive literature for algebraic specification techniques. Behavioral support for reuse queries is presented, followed by the conclusions.
Increasing the odds: applying emergentist theory in language intervention.
Poll, Gerard H
2011-10-01
This review introduces emergentism, which is a leading theory of language development that states that language ability is the product of interactions between the child's language environment and his or her learning capabilities. The review suggests ways in which emergentism provides a theoretical rationale for interventions that are designed to address developmental language delays in young children. A review of selected literature on emergentist theory and research is presented, with a focus on the acquisition of early morphology and syntax. A significant method for developing and testing emergentist theory, connectionist modeling, is described. Key themes from both connectionist and behavioral studies are summarized and applied with specific examples to language intervention techniques. A case study is presented to integrate elements of emergentism with language intervention. Evaluating the theoretical foundation for language interventions is an important step in evidence-based practice. This article introduces three themes in the emergentist literature that have implications for language intervention: (a) sufficiency of language input, (b) active engagement of the child with the input, and (c) factors that increase the odds for correctly mapping language form to meaning. Evidence supporting the importance of these factors in effective language intervention is presented, along with limitations in that evidence.
Top down, bottom up structured programming and program structuring
NASA Technical Reports Server (NTRS)
Hamilton, M.; Zeldin, S.
1972-01-01
New design and programming techniques for shuttle software. Based on previous Apollo experience, recommendations are made to apply top-down structured programming techniques to shuttle software. New software verification techniques for large software systems are recommended. HAL, the higher order language selected for the shuttle flight code, is discussed and found to be adequate for implementing these techniques. Recommendations are made to apply the workable combination of top-down, bottom-up methods in the management of shuttle software. Program structuring is discussed relevant to both programming and management techniques.
ERIC Educational Resources Information Center
Baharudin, Mazlina; Sadik, Azlina Md
2016-01-01
This paper will highlight successful teaching techniques used in class in teaching the Malay Language 1 course in Universiti Sains Malaysia (USM). The course is to equip foreign students for their studies and also as means of basic communication with the locals in Malaysia. In Malaysia, the emphasis in Malay language teaching are focused to…
ERIC Educational Resources Information Center
Starling, Julia; Munro, Natalie; Togher, Leanne; Arciuli, Joanne
2012-01-01
Purpose: This study evaluated the efficacy of a collaborative intervention where a speech-language pathologist (SLP) trained mainstream secondary school teachers to make modifications to their oral and written instructional language. The trained teachers' uptake of techniques in their whole-class teaching practices and the impact this had on the…
Kulhánek, Tomáš; Ježek, Filip; Mateják, Marek; Šilar, Jan; Kofránek, Jří
2015-08-01
This work introduces experiences of teaching modeling and simulation for graduate students in the field of biomedical engineering. We emphasize the acausal and object-oriented modeling technique and we have moved from teaching block-oriented tool MATLAB Simulink to acausal and object oriented Modelica language, which can express the structure of the system rather than a process of computation. However, block-oriented approach is allowed in Modelica language too and students have tendency to express the process of computation. Usage of the exemplar acausal domains and approach allows students to understand the modeled problems much deeper. The causality of the computation is derived automatically by the simulation tool.
Exploring the Language of Films.
ERIC Educational Resources Information Center
Roller, George E.
A film study course written for the Dade County, Fla. public schools is described which covers techniques of motion pictures and their historical development. Techniques include the "language of pictures" (distance shots, angle shots, color, lighting, arrangement), the "language of motion" (camera movement, subject movement),…
Pronunciation Instruction through Twitter: The Case of Commonly Mispronounced Words
ERIC Educational Resources Information Center
Fouz-González, Jonás
2017-01-01
This paper presents the results of a study aimed at exploring the possibilities Twitter offers for pronunciation instruction. It investigates the potential of a Twitter-based approach based on explicit instruction and input enhancement techniques to help English Foreing Language (EFL) learners improve their pronunciation of segmental and…
Fels, Deborah I; Richards, Jan; Hardman, Jim; Lee, Daniel G
2006-01-01
The WORLD WIDE WEB has changed the way people interact. It has also become an important equalizer of information access for many social sectors. However, for many people, including some sign language users, Web accessing can be difficult. For some, it not only presents another barrier to overcome but has left them without cultural equality. The present article describes a system that allows sign language-only Web pages to be created and linked through a video-based technique called sign-linking. In two studies, 14 Deaf participants examined two iterations of signlinked Web pages to gauge the usability and learnability of a signing Web page interface. The first study indicated that signing Web pages were usable by sign language users but that some interface features required improvement. The second study showed increased usability for those features; users consequently couldnavigate sign language information with ease and pleasure.
The management of vocal fold nodules in children: a national survey of speech-language pathologists.
Signorelli, Monique E; Madill, Catherine J; McCabe, Patricia
2011-06-01
The purpose of this study was to determine the management options and voice therapy techniques currently being used by practicing speech-language pathologists (SLPs) to treat vocal fold nodules (VFNs) in children. The sources used by SLPs to inform and guide their clinical decisions when managing VFNs in children were also explored. Sixty-two SLPs completed a 23-item web-based survey. Data was analysed using frequency counts, content analyses, and supplementary analyses. SLPs reported using a range of management options and voice therapy techniques to treat VFNs in children. Voice therapy was reportedly the most frequently used management option across all respondents, with the majority of SLPs using a combination of indirect and direct voice therapy techniques. When selecting voice therapy techniques, the majority of SLPs reported that they did not use the limited external evidence available to guide their clinical decisions. Additionally, the majority of SLPs reported that they frequently relied on lower levels of evidence or non-evidence-based sources to guide clinical practice both in the presence and absence of higher quality evidence. Further research needs to investigate strategies to remove the barriers that impede SLPs use of external evidence when managing VFNs in children.
An Agent-Based Interface to Terrestrial Ecological Forecasting
NASA Technical Reports Server (NTRS)
Golden, Keith; Nemani, Ramakrishna; Pang, Wan-Lin; Votava, Petr; Etzioni, Oren
2004-01-01
This paper describes a flexible agent-based ecological forecasting system that combines multiple distributed data sources and models to provide near-real-time answers to questions about the state of the Earth system We build on novel techniques in automated constraint-based planning and natural language interfaces to automatically generate data products based on descriptions of the desired data products.
Experiential Education--Scandinavian Style
ERIC Educational Resources Information Center
Mortensen, Erik
1978-01-01
Learning a foreign language by the cultural immersion technique, used by the Scandinavian Seminar, an international experiential education organization, is described, based on American college students' experiences studying in Scandinavia. Also explored is the learning concept of experiential education. (JMD)
Using Web Ontology Language to Integrate Heterogeneous Databases in the Neurosciences
Lam, Hugo Y.K.; Marenco, Luis; Shepherd, Gordon M.; Miller, Perry L.; Cheung, Kei-Hoi
2006-01-01
Integrative neuroscience involves the integration and analysis of diverse types of neuroscience data involving many different experimental techniques. This data will increasingly be distributed across many heterogeneous databases that are web-accessible. Currently, these databases do not expose their schemas (database structures) and their contents to web applications/agents in a standardized, machine-friendly way. This limits database interoperation. To address this problem, we describe a pilot project that illustrates how neuroscience databases can be expressed using the Web Ontology Language, which is a semantically-rich ontological language, as a common data representation language to facilitate complex cross-database queries. In this pilot project, an existing tool called “D2RQ” was used to translate two neuroscience databases (NeuronDB and CoCoDat) into OWL, and the resulting OWL ontologies were then merged. An OWL-based reasoner (Racer) was then used to provide a sophisticated query language (nRQL) to perform integrated queries across the two databases based on the merged ontology. This pilot project is one step toward exploring the use of semantic web technologies in the neurosciences. PMID:17238384
What's so different about Lacan's approach to psychoanalysis?
Fink, Bruce
2011-12-01
Clinical work based on Lacanian principles is rarely compared in the psychoanalytic literature with that based on other principles. The author attempts to highlight a few important theoretical differences regarding language, desire, affect, and time between a Lacanian approach and certain others that lead to differences in focus and technique, related, for example, to interpretation, scansion, and countertransference. Lacanian techniques are illustrated with brief clinical vignettes. In the interest of confidentiality, identifying information and certain circumstances have been changed or omitted in the material presented.
A Formalisation of Adaptable Pervasive Flows
NASA Astrophysics Data System (ADS)
Bucchiarone, Antonio; Lafuente, Alberto Lluch; Marconi, Annapaola; Pistore, Marco
Adaptable Pervasive Flows is a novel workflow-based paradigm for the design and execution of pervasive applications, where dynamic workflows situated in the real world are able to modify their execution in order to adapt to changes in their environment. In this paper, we study a formalisation of such flows by means of a formal flow language. More precisely, we define APFoL (Adaptable Pervasive Flow Language) and formalise its textual notation by encoding it in Blite, a formalisation of WS-BPEL. The encoding in Blite equips the language with a formal semantics and enables the use of automated verification techniques. We illustrate the approach with an example of a Warehouse Case Study.
MATERIALS AND TECHNIQUES FOR THE LANGUAGE LABORATORY.
ERIC Educational Resources Information Center
NAJAM, EDWARD W.
THE PROCEEDINGS OF THE SECOND ANNUAL INDIANA-PURDUE LANGUAGE LABORATORY CONFERENCE ARE ORGANIZED, AFTER INTRODUCTORY STATEMENTS BY NAJAM AND LARSEN ON CONTEMPORARY TRENDS IN LANGUAGE INSTRUCTION, UNDER THREE GENERAL HEADINGS PLUS APPENDIXES. IN THE FIRST SECTION DEVOTED TO MATERIALS AND TECHNIQUES ARE ARTICLES BY HYER, GARIMALDI, EDDY, AND SMITH…
Plant Phenotyping using Probabilistic Topic Models: Uncovering the Hyperspectral Language of Plants
Wahabzada, Mirwaes; Mahlein, Anne-Katrin; Bauckhage, Christian; Steiner, Ulrike; Oerke, Erich-Christian; Kersting, Kristian
2016-01-01
Modern phenotyping and plant disease detection methods, based on optical sensors and information technology, provide promising approaches to plant research and precision farming. In particular, hyperspectral imaging have been found to reveal physiological and structural characteristics in plants and to allow for tracking physiological dynamics due to environmental effects. In this work, we present an approach to plant phenotyping that integrates non-invasive sensors, computer vision, as well as data mining techniques and allows for monitoring how plants respond to stress. To uncover latent hyperspectral characteristics of diseased plants reliably and in an easy-to-understand way, we “wordify” the hyperspectral images, i.e., we turn the images into a corpus of text documents. Then, we apply probabilistic topic models, a well-established natural language processing technique that identifies content and topics of documents. Based on recent regularized topic models, we demonstrate that one can track automatically the development of three foliar diseases of barley. We also present a visualization of the topics that provides plant scientists an intuitive tool for hyperspectral imaging. In short, our analysis and visualization of characteristic topics found during symptom development and disease progress reveal the hyperspectral language of plant diseases. PMID:26957018
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.
ERIC Educational Resources Information Center
Julius, Kemboi; Osman, Ahmed
2015-01-01
In Kenya, there is a national concern over English language dismal performance over the years in Kenya Certificate of Secondary Education (K.C.S.E). Blame has been put on teachers of English language for relying on techniques that favor them at the expense of their students. This article therefore sought to assess the use of role-play technique as…
Toward real-time performance benchmarks for Ada
NASA Technical Reports Server (NTRS)
Clapp, Russell M.; Duchesneau, Louis; Volz, Richard A.; Mudge, Trevor N.; Schultze, Timothy
1986-01-01
The issue of real-time performance measurements for the Ada programming language through the use of benchmarks is addressed. First, the Ada notion of time is examined and a set of basic measurement techniques are developed. Then a set of Ada language features believed to be important for real-time performance are presented and specific measurement methods discussed. In addition, other important time related features which are not explicitly part of the language but are part of the run-time related features which are not explicitly part of the language but are part of the run-time system are also identified and measurement techniques developed. The measurement techniques are applied to the language and run-time system features and the results are presented.
Automated Assessment of Child Vocalization Development Using LENA.
Richards, Jeffrey A; Xu, Dongxin; Gilkerson, Jill; Yapanel, Umit; Gray, Sharmistha; Paul, Terrance
2017-07-12
To produce a novel, efficient measure of children's expressive vocal development on the basis of automatic vocalization assessment (AVA), child vocalizations were automatically identified and extracted from audio recordings using Language Environment Analysis (LENA) System technology. Assessment was based on full-day audio recordings collected in a child's unrestricted, natural language environment. AVA estimates were derived using automatic speech recognition modeling techniques to categorize and quantify the sounds in child vocalizations (e.g., protophones and phonemes). These were expressed as phone and biphone frequencies, reduced to principal components, and inputted to age-based multiple linear regression models to predict independently collected criterion-expressive language scores. From these models, we generated vocal development AVA estimates as age-standardized scores and development age estimates. AVA estimates demonstrated strong statistical reliability and validity when compared with standard criterion expressive language assessments. Automated analysis of child vocalizations extracted from full-day recordings in natural settings offers a novel and efficient means to assess children's expressive vocal development. More research remains to identify specific mechanisms of operation.
Tapping the Potential of Skill Integration as a Conduit for Communicative Language Teaching
ERIC Educational Resources Information Center
Wu, Shu-hua; Alrabah, Sulaiman
2014-01-01
The purpose of this classroom-based study was to discover the kinds of skill integration tasks that were employed by English teachers in Kuwait and to measure their attitudes toward implementing the skill integration technique in their classrooms. Data collection involved recording 25 hours of classroom-based observations, conducting interviews…
Maximising Asian ESL Learners' Communicative Oral English via Drama
ERIC Educational Resources Information Center
Gill, Chamkaur
2016-01-01
This paper proposes that activities based on a variety of drama-based techniques could be valuable in giving Asian ESL learners opportunities to use communicative spoken English confidently and without restraint during their time in English-language-speaking countries. These learners often get anxious when in situations where they are required to…
Definitions for the No Child Left Behind Act of 2001: Scientifically-Based Research
ERIC Educational Resources Information Center
Wilde, Judith
2004-01-01
The purpose of scientifically-based research within No Child Left Behind (NCLB) is to identify and disseminate conclusive information on ?what works? in education, with an emphasis on determining what instructional input (curricula, instructional techniques) works to increase student outcomes such as academic achievement and language proficiency.…
Chen, Xiao-lei; Xu, Bai-nan; Wang, Fei; Meng, Xiang-hui; Zhang, Jun; Jiang, Jin-li; Yu, Xin-guang; Zhou, Ding-biao
2011-08-01
To explore the clinical value of functional neuro-navigation and high-field-strength intraoperative magnetic resonance imaging (iMRI) for the resection of intracerebral gliomas involving eloquent language structures. From April 2009 to April 2010, 48 patients with intracerebral gliomas involving eloquent language structures, were operated with functional neuro-navigation and iMRI. Blood oxygen level dependent functional MRI (BOLD-fMRI) was used to depict both Broca and Wernicke cortex, while diffusion tensor imaging (DTI) based fiber tracking was used to delineate arcuate fasciculus. The reconstructed language structures were integrated into a navigation system, so that intra-operative microscopic-based functional neuro-navigation could be achieved. iMRI was used to update the images for both language structures and residual tumors. All patients were evaluated for language function pre-operatively and post-operatively upon short-term and long-term follow-up. In all patients, functional neuro-navigation and iMRI were successfully achieved. In 38 cases (79.2%), gross total resection was accomplished, while in the rest 10 cases (20.8%), subtotal resection was achieved. Only 1 case (2.1%) developed long-term (more than 3 months) new language function deficits at post-operative follow-up. No peri-operative mortality was recorded. With functional neuro-navigation and iMRI, the eloquent structures for language can be precisely located, while the resection size can be accurately evaluated intra-operatively. This technique is safe and helpful for preservation of language function.
Representations of ECT in English-Language Film and Television in the New Millennium.
Matthews, Avery Madeleine; Rosenquist, Peter B; McCall, William Vaughn
2016-09-01
The aim of the study was to survey the media landscape to determine whether visual depictions of electroconvulsive therapy (ECT) are becoming more or less medically accurate in the new millennium. English-language film and television shows depicting ECT were analyzed for patient demographics, administrator roles, indication, consent, anesthesia, paralytics, bite block, lead placement, electroencephalogram, and outcome. Thirty-nine ECT scenes were viewed, and just 3 included all 5 essential tools of modern ECT: anesthesia, paralytic, electrodes, electroencephalogram, and a bite block. Media depictions of ECT do not reflect current practice. Too often, ECT is portrayed as a torture technique rather than an evidenced-based therapy, and even in a therapeutic setting, it is too often shown with outdated techniques.
Hardware description languages
NASA Technical Reports Server (NTRS)
Tucker, Jerry H.
1994-01-01
Hardware description languages are special purpose programming languages. They are primarily used to specify the behavior of digital systems and are rapidly replacing traditional digital system design techniques. This is because they allow the designer to concentrate on how the system should operate rather than on implementation details. Hardware description languages allow a digital system to be described with a wide range of abstraction, and they support top down design techniques. A key feature of any hardware description language environment is its ability to simulate the modeled system. The two most important hardware description languages are Verilog and VHDL. Verilog has been the dominant language for the design of application specific integrated circuits (ASIC's). However, VHDL is rapidly gaining in popularity.
Psycholinguistic Techniques and Resources in Second Language Acquisition Research
ERIC Educational Resources Information Center
Roberts, Leah
2012-01-01
In this article, a survey of current psycholinguistic techniques relevant to second language acquisition (SLA) research is presented. I summarize many of the available methods and discuss their use with particular reference to two critical questions in current SLA research: (1) What does a learner's current knowledge of the second language (L2)…
ERIC Educational Resources Information Center
Kapantzoglou, Maria; Fergadiotis, Gerasimos; Restrepo, M. Adelaida
2017-01-01
Purpose: This study examined whether the language sample elicitation technique (i.e., storytelling and story-retelling tasks with pictorial support) affects lexical diversity (D), grammaticality (grammatical errors per communication unit [GE/CU]), sentence length (mean length of utterance in words [MLUw]), and sentence complexity (subordination…
Indirect Language Stimulation (ILS): AAC Techniques To Promote Communication Competence.
ERIC Educational Resources Information Center
Boose, Martha A.; Stinnett, Tessa
This report discusses the outcomes of a study that used indirect language stimulation techniques and modeling to encourage language development in a 5-year-old child with cerebral palsy. Initially, the student's communication system had very severe limitations. He used fewer than 10 spoken words which were unintelligible to most listeners. Both…
ERIC Educational Resources Information Center
Ellingson, Charlene; Roehrig, Gillian; Bakkum, Kris; Dubinsky, Janet M.
2016-01-01
This article introduces the Critical Response Protocol (CRP), an arts-based technique that engages students in equitable critical discourse and aligns with the "Next Generation Science Standards" vision for providing students opportunities for language learning while advancing science learning (NGSS Lead States 2013). CRP helps teachers…
ERIC Educational Resources Information Center
White, Ronald V.
1987-01-01
Proposes a systematic approach to the management of innovation in the teaching of English as a second language, based on an integration of techniques from the world of commerce and theories and procedures derived from education. The approach emphasizes the importance of clear understanding of aims. (CB)
Classroom Techniques: Foreign Languages and English as Second Language.
ERIC Educational Resources Information Center
Allen, Edward David; Valette, Rebecca M.
The aim of the handbook, which is a revised and expanded edition of "Modern Language Classroom Techniques" (1972), is to show the teacher ways of implementing and supplementing existing materials. The suggested teaching procedures may be used with classes of varying sizes and levels, and with any method. Part One of this handbook presents an…
Rodrigues, J M; Trombert-Paviot, B; Baud, R; Wagner, J; Meusnier-Carriot, F
1998-01-01
GALEN has developed a language independent common reference model based on a medically oriented ontology and practical tools and techniques for managing healthcare terminology including natural language processing. GALEN-IN-USE is the current phase which applied the modelling and the tools to the development or the updating of coding systems for surgical procedures in different national coding centers co-operating within the European Federation of Coding Centre (EFCC) to create a language independent knowledge repository for multicultural Europe. We used an integrated set of artificial intelligence terminology tools named CLAssification Manager workbench to process French professional medical language rubrics into intermediate dissections and to the Grail reference ontology model representation. From this language independent concept model representation we generate controlled French natural language. The French national coding centre is then able to retrieve the initial professional rubrics with different categories of concepts, to compare the professional language proposed by expert clinicians to the French generated controlled vocabulary and to finalize the linguistic labels of the coding system in relation with the meanings of the conceptual system structure.
ROPE: Recoverable Order-Preserving Embedding of Natural Language
DOE Office of Scientific and Technical Information (OSTI.GOV)
Widemann, David P.; Wang, Eric X.; Thiagarajan, Jayaraman J.
We present a novel Recoverable Order-Preserving Embedding (ROPE) of natural language. ROPE maps natural language passages from sparse concatenated one-hot representations to distributed vector representations of predetermined fixed length. We use Euclidean distance to return search results that are both grammatically and semantically similar. ROPE is based on a series of random projections of distributed word embeddings. We show that our technique typically forms a dictionary with sufficient incoherence such that sparse recovery of the original text is possible. We then show how our embedding allows for efficient and meaningful natural search and retrieval on Microsoft’s COCO dataset and themore » IMDB Movie Review dataset.« less
Eye vs. Text Movement: Which Technique Leads to Faster Reading Comprehension?
ERIC Educational Resources Information Center
Abdellah, Antar Solhy
2009-01-01
Eye fixation is a frequent problem that faces foreign language learners and hinders the flow of their reading comprehension. Although students are usually advised to read fast/skim to overcome this problem, eye fixation persists. The present study investigates the effect of using a paper-based program as compared to a computer-based software in…
ERIC Educational Resources Information Center
Long, Donna R.
1985-01-01
Describes the implementation of a first-year comprehension-based Spanish language program at New Mexico State University. Includes a discussion of the history of the program and of the problems encountered in changing a traditional curriculum. Also describes the materials, classroom practice, and testing and evaluation techniques used in the…
ERIC Educational Resources Information Center
Chen, Chih-Ming; Wang, Jung-Ying; Chen, Yong-Ting; Wu, Jhih-Hao
2016-01-01
To reduce effectively the reading anxiety of learners while reading English articles, a C4.5 decision tree, a widely used data mining technique, was used to develop a personalized reading anxiety prediction model (PRAPM) based on individual learners' reading annotation behavior in a collaborative digital reading annotation system (CDRAS). In…
ERIC Educational Resources Information Center
Yu, Jennifer W.; Wei, Xin; Wagner, Mary
2014-01-01
This study used propensity score techniques on data from the National Longitudinal Transition Study-2 to assess the causal relationship between speech and behavior-based support services and rates of social communication among high school students with Autism Spectrum Disorder (ASD). Findings indicate that receptive language problems were…
ERIC Educational Resources Information Center
Anae, Nicole
2014-01-01
This paper presents a theorised classroom-based account discussing the author's interdisciplinary approach to engaging first-year teacher-education students in self-critical inquiry using creative writing techniques as an entry point into Arts-based three-dimensional storytelling. Via an interpretation of Lacan's "speaking…
Integration of language and sensor information
NASA Astrophysics Data System (ADS)
Perlovsky, Leonid I.; Weijers, Bertus
2003-04-01
The talk describes the development of basic technologies of intelligent systems fusing data from multiple domains and leading to automated computational techniques for understanding data contents. Understanding involves inferring appropriate decisions and recommending proper actions, which in turn requires fusion of data and knowledge about objects, situations, and actions. Data might include sensory data, verbal reports, intelligence intercepts, or public records, whereas knowledge ought to encompass the whole range of objects, situations, people and their behavior, and knowledge of languages. In the past, a fundamental difficulty in combining knowledge with data was the combinatorial complexity of computations, too many combinations of data and knowledge pieces had to be evaluated. Recent progress in understanding of natural intelligent systems, including the human mind, leads to the development of neurophysiologically motivated architectures for solving these challenging problems, in particular the role of emotional neural signals in overcoming combinatorial complexity of old logic-based approaches. Whereas past approaches based on logic tended to identify logic with language and thinking, recent studies in cognitive linguistics have led to appreciation of more complicated nature of linguistic models. Little is known about the details of the brain mechanisms integrating language and thinking. Understanding and fusion of linguistic information with sensory data represent a novel challenging aspect of the development of integrated fusion systems. The presentation will describe a non-combinatorial approach to this problem and outline techniques that can be used for fusing diverse and uncertain knowledge with sensory and linguistic data.
ERIC Educational Resources Information Center
Ortiz Navarrete, Mabel; Ferreira Cabrera, Anita
2014-01-01
This paper aims at proposing a technique for students learning English as a foreign language when they collaboratively write an argumentative essay in a wiki environment. A wiki environment and collaborative work play an important role within the academic writing task. Nevertheless, an appropriate and systematic work assignment is required in…
Optimizing Basic French Skills Utilizing Multiple Teaching Techniques.
ERIC Educational Resources Information Center
Skala, Carol
This action research project examined the impact of foreign language teaching techniques on the language acquisition and retention of 19 secondary level French I students, focusing on student perceptions of the effectiveness and ease of four teaching techniques: total physical response, total physical response storytelling, literature approach,…
NASA software specification and evaluation system design, part 2
NASA Technical Reports Server (NTRS)
1976-01-01
A survey and analysis of the existing methods, tools and techniques employed in the development of software are presented along with recommendations for the construction of reliable software. Functional designs for software specification language, and the data base verifier are presented.
Behavior Modification with an Aphasic Man
ERIC Educational Resources Information Center
Ince, Laurence P.
1973-01-01
Techniques based upon operant conditioning were employed with a male patient who had sustained a cerebrovascular accident with consequent right hemiplegia and expressive asphasia. A combination of positive verbal reinforcement and feedback of progress were utilized to improve language fluency and speed of typing. (Author)
NASA Astrophysics Data System (ADS)
Elliott, John
2002-01-01
The ultimate aim of any system designed to analyse a signal for structured and intelligent-like behaviour, is not merely to provide a Boolean filter but to have the ability to deduce what category the signal fits - language, image, music noise etc - and then to decipher its contents. Up until now, my research has concentrated on the lower level universals of language structure and how they can be detected1,2. However, in this paper, I begin to look into developing techniques, which use only surface structure information deduced from the signal sample itself, for learning what underlies the higher level elements of the language (lingua ex machina) hierarchy, where syntax meets semantics. The aim therefore is to move towards developing techniques, which will unlock a signal's meaning using its internal cohesion and constraints. In doing so, I look at how the most disparate of human language orthographic forms mirror each other's underlying structure, despite their encoding strategies and how classes of words give their secrets away by the functional `friends' they keep. To address such linguistic problems, which reach down to and beyond the very core fundamental concepts of what we currently understand as language, I have had to develop new techniques to provide ways of learning and understanding syntactic behaviour from surface structure alone. Although each word or symbol is arbitrarily paired with its meaning, empirical evidence has shown that the semantic class or part-of-speech to which it belongs is constrained by its behaviour and according to underlying interactive rules. By using functional elements/words detected from lower level analysis and visualisation techniques for bonding, I have begun to develop algorithms, which group a communication's word classes, using the notion of polyposici and uniposicii behaviour within minimal constrained pairings. Initial trials with English confirm such behaviour and show how these semantic classes can be detected and words attributed their membership, without prior knowledge, using unsupervised positional rule-based criteria and statistical variance. Finally, I present techniques developed for non-language structured signals: - How the statistical `fingerprint' of a binary image, such as the recent challenge set by Dr Dutil3 and the Arecibo - Further analysis of the structure of music and how it differs from language. References 1. Elliott J, Atwell E &Whyte, W. 2001. First Stage Identification of Syntactic Elements in an Extraterrestrial 2. Elliott, John &Atwell, Eric, 1999. Language in signals: the detection of generic species-independent intelligent 3. Dutil, Y, 2001. University of Catalunya, Barcelone, Spain &ABB Bomem Inc, 4. Arecibo Observatory. http://www.naic.edu/.
Pénicaud, Sidonie; Klein, Denise; Zatorre, Robert J; Chen, Jen-Kai; Witcher, Pamela; Hyde, Krista; Mayberry, Rachel I
2013-02-01
Early language experience is essential for the development of a high level of linguistic proficiency in adulthood and in a recent functional Magnetic Resonance Imaging (fMRI) experiment, we showed that a delayed acquisition of a first language results in changes in the functional organization of the adult brain (Mayberry et al., 2011). The present study extends the question to explore if delayed acquisition of a first language also modulates the structural development of the brain. To this end, we carried out anatomical MRI in the same group of congenitally deaf individuals who varied in the age of acquisition of a first language, American Sign Language -ASL (Mayberry et al., 2011) and used a neuroanatomical technique, Voxel-Based Morphometry (VBM), to explore changes in gray and white matter concentrations across the brain related to the age of first language acquisition. The results show that delayed acquisition of a first language is associated with changes in tissue concentration in the occipital cortex close to the area that has been found to show functional recruitment during language processing in these deaf individuals with a late age of acquisition. These findings suggest that a lack of early language experience affects not only the functional but also the anatomical organization of the brain. Copyright © 2012 Elsevier Inc. All rights reserved.
Component Technology for High-Performance Scientific Simulation Software
DOE Office of Scientific and Technical Information (OSTI.GOV)
Epperly, T; Kohn, S; Kumfert, G
2000-11-09
We are developing scientific software component technology to manage the complexity of modem, parallel simulation software and increase the interoperability and re-use of scientific software packages. In this paper, we describe a language interoperability tool named Babel that enables the creation and distribution of language-independent software libraries using interface definition language (IDL) techniques. We have created a scientific IDL that focuses on the unique interface description needs of scientific codes, such as complex numbers, dense multidimensional arrays, complicated data types, and parallelism. Preliminary results indicate that in addition to language interoperability, this approach provides useful tools for thinking about themore » design of modem object-oriented scientific software libraries. Finally, we also describe a web-based component repository called Alexandria that facilitates the distribution, documentation, and re-use of scientific components and libraries.« less
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…
Gehrmann, Sebastian; Dernoncourt, Franck; Li, Yeran; Carlson, Eric T; Wu, Joy T; Welt, Jonathan; Foote, John; Moseley, Edward T; Grant, David W; Tyler, Patrick D; Celi, Leo A
2018-01-01
In secondary analysis of electronic health records, a crucial task consists in correctly identifying the patient cohort under investigation. In many cases, the most valuable and relevant information for an accurate classification of medical conditions exist only in clinical narratives. Therefore, it is necessary to use natural language processing (NLP) techniques to extract and evaluate these narratives. The most commonly used approach to this problem relies on extracting a number of clinician-defined medical concepts from text and using machine learning techniques to identify whether a particular patient has a certain condition. However, recent advances in deep learning and NLP enable models to learn a rich representation of (medical) language. Convolutional neural networks (CNN) for text classification can augment the existing techniques by leveraging the representation of language to learn which phrases in a text are relevant for a given medical condition. In this work, we compare concept extraction based methods with CNNs and other commonly used models in NLP in ten phenotyping tasks using 1,610 discharge summaries from the MIMIC-III database. We show that CNNs outperform concept extraction based methods in almost all of the tasks, with an improvement in F1-score of up to 26 and up to 7 percentage points in area under the ROC curve (AUC). We additionally assess the interpretability of both approaches by presenting and evaluating methods that calculate and extract the most salient phrases for a prediction. The results indicate that CNNs are a valid alternative to existing approaches in patient phenotyping and cohort identification, and should be further investigated. Moreover, the deep learning approach presented in this paper can be used to assist clinicians during chart review or support the extraction of billing codes from text by identifying and highlighting relevant phrases for various medical conditions.
Language Mapping with Navigated Repetitive TMS: Proof of Technique and Validation
Tarapore, Phiroz E.; Findlay, Anne M.; Honma, Susanne M.; Mizuiri, Danielle; Houde, John F.; Berger, Mitchel S.; Nagarajan, Srikantan S.
2013-01-01
Objective Lesion-based mapping of speech pathways has been possible only during invasive neurosurgical procedures using direct cortical stimulation (DCS). However, navigated transcranial magnetic stimulation (nTMS) may allow for lesion-based interrogation of language pathways noninvasively. Although not lesion-based, magnetoencephalographic imaging (MEGI) is another noninvasive modality for language mapping. In this study, we compare the accuracy of nTMS and MEGI with DCS. Methods Subjects with lesions around cortical language areas underwent preoperative nTMS and MEGI for language mapping. nTMS maps were generated using a repetitive TMS protocol to deliver trains of stimulations during a picture naming task. MEGI activation maps were derived from adaptive spatial filtering of beta-band power decreases prior to overt speech during picture naming and verb generation tasks. The subjects subsequently underwent awake language mapping via intraoperative DCS. The language maps obtained from each of the 3 modalities were recorded and compared. Results nTMS and MEGI were performed on 12 subjects. nTMS yielded 21 positive language disruption sites (11 speech arrest, 5 anomia, and 5 other) while DCS yielded 10 positive sites (2 speech arrest, 5 anomia, and 3 other). MEGI isolated 32 sites of peak activation with language tasks. Positive language sites were most commonly found in the pars opercularis for all three modalities. In 9 instances the positive DCS site corresponded to a positive nTMS site, while in 1 instance it did not. In 4 instances, a positive nTMS site corresponded to a negative DCS site, while 169 instances of negative nTMS and DCS were recorded. The sensitivity of nTMS was therefore 90%, specificity was 98%, the positive predictive value was 69% and the negative predictive value was 99% as compared with intraoperative DCS. MEGI language sites for verb generation and object naming correlated with nTMS sites in 5 subjects, and with DCS sites in 2 subjects. Conclusion Maps of language function generated with nTMS correlate well with those generated by DCS. Negative nTMS mapping also correlates with negative DCS mapping. In our study, MEGI lacks the same level of correlation with intraoperative mapping; nevertheless it provides useful adjunct information in some cases. nTMS may offer a lesion-based method for noninvasively interrogating language pathways and be valuable in managing patients with peri-eloquent lesions. PMID:23702420
Hund-Georgiadis, Margret; Lex, Ulrike; Friederici, Angela D; von Cramon, D Yves
2002-07-01
Language lateralization was assessed by two independent functional techniques, fMRI and a dichotic listening test (DLT), in an attempt to establish a reliable and non-invasive protocol of dominance determination. This should particularly address the high intraindividual variability of language lateralization and allow decision-making in individual cases. Functional MRI of word classification tasks showed robust language lateralization in 17 right-handers and 17 left-handers in terms of activation in the inferior frontal gyrus. The DLT was introduced as a complementary tool to MR mapping for language dominance assessment, providing information on perceptual language processing located in superior temporal cortices. The overall agreement of lateralization assessment between the two techniques was 97.1%. Conflicting results were found in one subject, and diverging indices in ten further subjects. Increasing age, non-familial sinistrality, and a non-dominant writing hand were identified as the main factors explaining the observed mismatch between the two techniques. This finding stresses the concept of an intrahemispheric distribution of language function that is obviously associated with certain behavioral characteristics.
Psychometric Evaluation of Lexical Diversity Indices: Assessing Length Effects.
Fergadiotis, Gerasimos; Wright, Heather Harris; Green, Samuel B
2015-06-01
Several novel techniques have been developed recently to assess the breadth of a speaker's vocabulary exhibited in a language sample. The specific aim of this study was to increase our understanding of the validity of the scores generated by different lexical diversity (LD) estimation techniques. Four techniques were explored: D, Maas, measure of textual lexical diversity, and moving-average type-token ratio. Four LD indices were estimated for language samples on 4 discourse tasks (procedures, eventcasts, story retell, and recounts) from 442 adults who are neurologically intact. The resulting data were analyzed using structural equation modeling. The scores for measure of textual lexical diversity and moving-average type-token ratio were stronger indicators of the LD of the language samples. The results for the other 2 techniques were consistent with the presence of method factors representing construct-irrelevant sources. These findings offer a deeper understanding of the relative validity of the 4 estimation techniques and should assist clinicians and researchers in the selection of LD measures of language samples that minimize construct-irrelevant sources.
NASA Technical Reports Server (NTRS)
Doland, Jerry; Valett, Jon
1994-01-01
This document discusses recommended practices and style for programmers using the C language in the Flight Dynamics Division environment. Guidelines are based on generally recommended software engineering techniques, industry resources, and local convention. The Guide offers preferred solutions to common C programming issues and illustrates through examples of C Code.
Sidhu, Meneka Kaur; Duncan, John S; Sander, Josemir W
2018-05-17
Epilepsy neuroimaging is important for detecting the seizure onset zone, predicting and preventing deficits from surgery and illuminating mechanisms of epileptogenesis. An aspiration is to integrate imaging and genetic biomarkers to enable personalized epilepsy treatments. The ability to detect lesions, particularly focal cortical dysplasia and hippocampal sclerosis, is increased using ultra high-field imaging and postprocessing techniques such as automated volumetry, T2 relaxometry, voxel-based morphometry and surface-based techniques. Statistical analysis of PET and single photon emission computer tomography (STATISCOM) are superior to qualitative analysis alone in identifying focal abnormalities in MRI-negative patients. These methods have also been used to study mechanisms of epileptogenesis and pharmacoresistance.Recent language fMRI studies aim to localize, and also lateralize language functions. Memory fMRI has been recommended to lateralize mnemonic function and predict outcome after surgery in temporal lobe epilepsy. Combinations of structural, functional and post-processing methods have been used in multimodal and machine learning models to improve the identification of the seizure onset zone and increase understanding of mechanisms underlying structural and functional aberrations in epilepsy.
Where are aphasia theory and management “headed”?
Tippett, Donna C.; Hillis, Argye E.
2017-01-01
The sequelae of post-stroke aphasia are considerable, necessitating an understanding of the functional neuroanatomy of language, cognitive processes underlying various language tasks, and the mechanisms of recovery after stroke. This knowledge is vital in providing optimal care of individuals with aphasia and counseling to their families and caregivers. The standard of care in the rehabilitation of aphasia dictates that treatment be evidence-based and person-centered. Promising techniques, such as cortical stimulation as an adjunct to behavioral therapy, are just beginning to be explored. These topics are discussed in this review. PMID:28713549
Where are aphasia theory and management "headed"?
Tippett, Donna C; Hillis, Argye E
2017-01-01
The sequelae of post-stroke aphasia are considerable, necessitating an understanding of the functional neuroanatomy of language, cognitive processes underlying various language tasks, and the mechanisms of recovery after stroke. This knowledge is vital in providing optimal care of individuals with aphasia and counseling to their families and caregivers. The standard of care in the rehabilitation of aphasia dictates that treatment be evidence-based and person-centered. Promising techniques, such as cortical stimulation as an adjunct to behavioral therapy, are just beginning to be explored. These topics are discussed in this review.
Suarez, Ralph O.; Golby, Alexandra; Whalen, Stephen; Sato, Susumu; Theodore, William H.; Kufta, Conrad V.; Devinsky, Orrin; Balish, Marshall; Bromfield, Edward B.
2009-01-01
INTRODUCTION Although the substrates that mediate singing abilities in the human brain are not well understood, invasive brain mapping techniques used for clinical decision making such as intracranial electrocortical testing and Wada testing offer a rare opportunity to examine music-related function in a select group of subjects, affording exceptional spatial and temporal specificity. METHODS We studied eight patients with medically refractory epilepsy undergoing indwelling subdural electrode seizure focus localization. All patients underwent Wada testing for language lateralization. Functional assessment of language and music tasks was done by electrode grid cortical stimulation. One patient was also tested non-invasively with functional MRI. Functional organization of singing ability compared to language ability was determined based on four regions-ofinterest: left and right inferior frontal gyrus (IFG), and left and right posterior superior temporal gyrus (pSTG). RESULTS In some subjects, electrical stimulation of dominant pSTG can interfere with speech and not singing, whereas stimulation of non-dominant pSTG area can interfere with singing and not speech. Stimulation of the dominant IFG tends to interfere with both musical and language expression, while non-dominant IFG stimulation was often observed to cause no interference with either task; and finally, that stimulation of areas adjacent to but not within non-dominant pSTG typically does not affect either ability. FMRI mappings of one subject revealed similar music/language dissociation with respect to activation asymmetry within the regions-of-interest. CONCLUSION Despite inherent limitations with respect to strictly research objectives, invasive clinical techniques offer a rare opportunity to probe musical and language cognitive processes of the brain in a select group of patients. PMID:19570530
ERIC Educational Resources Information Center
Molfese, Dennis L.; Molfese, Victoria J.; Kelly, Spencer
2001-01-01
This article provides an introduction to the use of event-related potential (ERP) approaches to study language processes. First, a brief history of the emergence of this technology is presented, followed by definitions, a theoretical overview, and a practical guide to conducting ERP studies. Examples of language studies that use this technique are…
An Analysis of College Students' Attitudes towards Error Correction in EFL Context
ERIC Educational Resources Information Center
Zhu, Honglin
2010-01-01
This article is based on a survey on the attitudes towards the error correction by their teachers in the process of teaching and learning and it is intended to improve the language teachers' understanding of the nature of error correction. Based on the analysis, the article expounds some principles and techniques that can be applied in the process…
ERIC Educational Resources Information Center
Herrera-Viedma, Enrique; Peis, Eduardo
2003-01-01
Presents a fuzzy evaluation method of SGML documents based on computing with words. Topics include filtering the amount of information available on the Web to assist users in their search processes; document type definitions; linguistic modeling; user-system interaction; and use with XML and other markup languages. (Author/LRW)
A Bibliography of Externally Published Works by the SEI Engineering Techniques Program
1992-08-01
media, and virtual reality * model- based engineering * programming languages * reuse * software architectures * software engineering as a discipline...Knowledge- Based Engineering Environments." IEEE Expert 3, 2 (May 1988): 18-23, 26-32. Audience: Practitioner [Klein89b] Klein, D.V. "Comparison of...Terms with Software Reuse Terminology: A Model- Based Approach." ACM SIGSOFT Software Engineering Notes 16, 2 (April 1991): 45-51. Audience: Practitioner
Wolters, Maria K.; Whalley, Heather C.; Gountouna, Viktoria‐Eleni; Kuznetsova, Ksenia A.; Watson, Andrew R.
2016-01-01
The National Institute of Mental Health's Research Domain Criteria (RDoC) Initiative “calls for the development of new ways of classifying psychopathology based on dimensions of observable behavior.” As a result of this ambitious initiative, language has been identified as an independent construct in the RDoC matrix. In this article, we frame language within an evolutionary and neuropsychological context and discuss some of the limitations to the current measurements of language. Findings from genomics and the neuroimaging of performance during language tasks are discussed in relation to serious mental illness and within the context of caveats regarding measuring language. Indeed, the data collection and analysis methods employed to assay language have been both aided and constrained by the available technologies, methodologies, and conceptual definitions. Consequently, different fields of language research show inconsistent definitions of language that have become increasingly broad over time. Individually, they have also shown significant improvements in conceptual resolution, as well as in experimental and analytic techniques. More recently, language research has embraced collaborations across disciplines, notably neuroscience, cognitive science, and computational linguistics and has ultimately re‐defined classical ideas of language. As we move forward, the new models of language with their remarkably multifaceted constructs force a re‐examination of the NIMH RDoC conceptualization of language and thus the neuroscience and genetics underlying this concept. © 2016 The Authors. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics Published by Wiley Periodicals, Inc. PMID:26968151
The Design of Lexical Database for Indonesian Language
NASA Astrophysics Data System (ADS)
Gunawan, D.; Amalia, A.
2017-03-01
Kamus Besar Bahasa Indonesia (KBBI), an official dictionary for Indonesian language, provides lists of words with their meaning. The online version can be accessed via Internet network. Another online dictionary is Kateglo. KBBI online and Kateglo only provides an interface for human. A machine cannot retrieve data from the dictionary easily without using advanced techniques. Whereas, lexical of words is required in research or application development which related to natural language processing, text mining, information retrieval or sentiment analysis. To address this requirement, we need to build a lexical database which provides well-defined structured information about words. A well-known lexical database is WordNet, which provides the relation among words in English. This paper proposes the design of a lexical database for Indonesian language based on the combination of KBBI 4th edition, Kateglo and WordNet structure. Knowledge representation by utilizing semantic networks depict the relation among words and provide the new structure of lexical database for Indonesian language. The result of this design can be used as the foundation to build the lexical database for Indonesian language.
Nair, Rajni L.; White, Rebecca M.B.; Knight, George P.; Roosa, Mark W.
2009-01-01
Increasing diversity among families in the United States often necessitates the translation of common measures into various languages. However, even when great care is taken during translations, empirical evaluations of measurement equivalence are necessary. The current study demonstrates the analytic techniques researchers should use to evaluate the measurement equivalence of translated measures. To this end we investigated the cross-language measurement equivalence of several common parenting measures in a sample of 749 Mexican American families. The item invariance results indicated similarity of factor structures across language groups for each of the parenting measures for both mothers and children. Construct validity tests indicated similar slope relations between each of the four parenting measures and the outcomes across the two language groups for both mothers and children. Equivalence in intercepts, however, was only achieved for some outcomes. These findings indicate that the use of these measures in both within group and between group analyses based on correlation/covariance structure is defensible, but researchers are cautioned against interpretations of mean level differences across these language groups. PMID:19803604
A SVM-based method for sentiment analysis in Persian language
NASA Astrophysics Data System (ADS)
Hajmohammadi, Mohammad Sadegh; Ibrahim, Roliana
2013-03-01
Persian language is the official language of Iran, Tajikistan and Afghanistan. Local online users often represent their opinions and experiences on the web with written Persian. Although the information in those reviews is valuable to potential consumers and sellers, the huge amount of web reviews make it difficult to give an unbiased evaluation to a product. In this paper, standard machine learning techniques SVM and naive Bayes are incorporated into the domain of online Persian Movie reviews to automatically classify user reviews as positive or negative and performance of these two classifiers is compared with each other in this language. The effects of feature presentations on classification performance are discussed. We find that accuracy is influenced by interaction between the classification models and the feature options. The SVM classifier achieves as well as or better accuracy than naive Bayes in Persian movie. Unigrams are proved better features than bigrams and trigrams in capturing Persian sentiment orientation.
XML Based Markup Languages for Specific Domains
NASA Astrophysics Data System (ADS)
Varde, Aparna; Rundensteiner, Elke; Fahrenholz, Sally
A challenging area in web based support systems is the study of human activities in connection with the web, especially with reference to certain domains. This includes capturing human reasoning in information retrieval, facilitating the exchange of domain-specific knowledge through a common platform and developing tools for the analysis of data on the web from a domain expert's angle. Among the techniques and standards related to such work, we have XML, the eXtensible Markup Language. This serves as a medium of communication for storing and publishing textual, numeric and other forms of data seamlessly. XML tag sets are such that they preserve semantics and simplify the understanding of stored information by users. Often domain-specific markup languages are designed using XML, with a user-centric perspective. Standardization bodies and research communities may extend these to include additional semantics of areas within and related to the domain. This chapter outlines the issues to be considered in developing domain-specific markup languages: the motivation for development, the semantic considerations, the syntactic constraints and other relevant aspects, especially taking into account human factors. Illustrating examples are provided from domains such as Medicine, Finance and Materials Science. Particular emphasis in these examples is on the Materials Markup Language MatML and the semantics of one of its areas, namely, the Heat Treating of Materials. The focus of this chapter, however, is not the design of one particular language but rather the generic issues concerning the development of domain-specific markup languages.
Sentence processing in the cerebral cortex.
Sakai, K L; Hashimoto, R; Homae, F
2001-01-01
Human language is a unique faculty of the mind. It has been the ultimate mystery throughout the history of neuroscience. Despite many aphasia and functional imaging studies, the exact correlation between cortical language areas and subcomponents of the linguistic system has not been established. One notable drawback is that most functional imaging studies have tested language tasks at the word level, such as lexical decision and word generation tasks, thereby neglecting the syntactic aspects of the language faculty. As proposed by Chomsky, the critical knowledge of language involves universal grammar (UG), which governs the syntactic structure of sentences. In this article, we will review recent advances made by functional neuroimaging studies of language, focusing especially on sentence processing in the cerebral cortex. We also present the recent results of our functional magnetic resonance imaging (fMRI) study intended to identify cortical areas specifically involved in syntactic processing. A study of sentence processing that employs a newly developed technique, optical topography (OT), is also presented. Based on these findings, we propose a modular specialization of Broca's area, Wernicke's area, and the angular gyrus/supramarginal gyrus. The current direction of research in neuroscience is beginning to establish the existence of distinct modules responsible for our knowledge of language.
Terrell, Pamela; Watson, Maggie
2018-04-05
As part of this clinical forum on curriculum-based intervention, the goal of this tutorial is to share research about the importance of language and literacy foundations in natural environments during emergent literacy skill development, from infancy through preschool. Following an overview of intervention models in schools by Powell (2018), best practices at home, in child care, and in preschool settings are discussed. Speech-language pathologists in these settings will be provided a toolbox of best emergent literacy practices. A review of published literature in speech-language pathology, early intervention, early childhood education, and literacy was completed. Subsequently, an overview of the impact of early home and preschool literacy experiences are described. Research-based implementation of best practice is supported with examples of shared book reading and child-led literacy embedded in play within the coaching model of early intervention. Finally, various aspects of emergent literacy skill development in the preschool years are discussed. These include phonemic awareness, print/alphabet awareness, oral language skills, and embedded/explicit literacy. Research indicates that rich home literacy environments and exposure to rich oral language provide an important foundation for the more structured literacy environments of school. Furthermore, there is a wealth of evidence to support a variety of direct and indirect intervention practices in the home, child care, and preschool contexts to support and enhance all aspects of oral and written literacy. Application of this "toolbox" of strategies should enable speech-language pathologists to address the prevention and intervention of literacy deficits within multiple environments during book and play activities. Additionally, clinicians will have techniques to share with parents, child care providers, and preschool teachers for evidence-based literacy instruction within all settings during typical daily activities.
ERIC Educational Resources Information Center
Hughes, John P.
Concepts pertaining to the language laboratory are clarified for the layman unfamiliar with recent educational developments in foreign language instruction. These include discussion of: (1) language laboratory components and functions, (2) techniques used in the laboratory, (3) new linguistic methods, (4) laboratory exercises, (5) traditional…
Text Manipulation Techniques and Foreign Language Composition.
ERIC Educational Resources Information Center
Walker, Ronald W.
1982-01-01
Discusses an approach to teaching second language composition which emphasizes (1) careful analysis of model texts from a limited, but well-defined perspective and (2) the application of text manipulation techniques developed by the word processing industry to student compositions. (EKN)
Means to Overcome the Anxieties of Second Language Learners.
ERIC Educational Resources Information Center
McCoy, Ingeborg R.
1979-01-01
Behavior modification techniques that can be used to overcome fears and anxieties of students and to further achievement in second language learning are discussed. The following techniques are covered: systematic desensitization, cognitive restructuring, and modeling and guided participation. (SW)
Microcontroller-based locking in optics experiments.
Huang, K; Le Jeannic, H; Ruaudel, J; Morin, O; Laurat, J
2014-12-01
Optics experiments critically require the stable and accurate locking of relative phases between light beams or the stabilization of Fabry-Perot cavity lengths. Here, we present a simple and inexpensive technique based on a stand-alone microcontroller unit to perform such tasks. Easily programmed in C language, this reconfigurable digital locking system also enables automatic relocking and sequential functioning. Different algorithms are detailed and applied to fringe locking and to low- and high-finesse optical cavity stabilization, without the need of external modulations or error signals. This technique can readily replace a number of analog locking systems advantageously in a variety of optical experiments.
Learning Spanish the Fenix Way
ERIC Educational Resources Information Center
Wholey, Jane
1977-01-01
The Instituto Fenix, a language learning school in Cuernavaca, Mexico, features oral language learning and a creative teaching technique to help language students to learn Spanish both effectively and quickly. (RK)
Semantic definitions of space flight control center languages using the hierarchical graph technique
NASA Technical Reports Server (NTRS)
Zaghloul, M. E.; Truszkowski, W.
1981-01-01
In this paper a method is described by which the semantic definitions of the Goddard Space Flight Control Center Command Languages can be specified. The semantic modeling facility used is an extension of the hierarchical graph technique, which has a major benefit of supporting a variety of data structures and a variety of control structures. It is particularly suited for the semantic descriptions of such types of languages where the detailed separation between the underlying operating system and the command language system is system dependent. These definitions were used in the definition of the Systems Test and Operation Language (STOL) of the Goddard Space Flight Center which is a command language that provides means for the user to communicate with payloads, application programs, and other ground system elements.
Survey of Natural Language Processing Techniques in Bioinformatics.
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.
Report on Information Retrieval and Library Automation Studies.
ERIC Educational Resources Information Center
Alberta Univ., Edmonton. Dept. of Computing Science.
Short abstracts of works in progress or completed in the Department of Computing Science at the University of Alberta are presented under five major headings. The five categories are: Storage and search techniques for document data bases, Automatic classification, Study of indexing and classification languages through computer manipulation of data…
Languages Home and Away. Pathfinder 9.
ERIC Educational Resources Information Center
Taylor, Alison
This guide offers ideas and techniques for projects designed to enhance the social and linguistic experiences of students participating in international exchanges. The first section outlines potential topics and procedures for projects conducted in the home, school, or local environment during stays in foreign countries. Most are based on site…
Linear- and Repetitive Feature Detection Within Remotely Sensed Imagery
2017-04-01
applicable to Python or other pro- gramming languages with image- processing capabilities. 4.1 Classification machine learning The first methodology uses...remotely sensed images that are in panchromatic or true-color formats. Image- processing techniques, in- cluding Hough transforms, machine learning, and...data fusion .................................................................................................... 44 6.3 Context-based processing
Teaching Pronunciation in the Learner-Centered Classroom.
ERIC Educational Resources Information Center
Lin, Hsiang-Pao; And Others
Specific tools and techniques to help students of English as a Second Language overcome pronunciation problems are presented. The selection of problems addressed is based on the frequency and seriousness of errors that many native Chinese-speaking learners produce. Ways to resolve various problems (e.g., missing final consonants, misplaced stress…
Minimalism through intraoperative functional mapping.
Berger, M S
1996-01-01
Intraoperative stimulation mapping may be used to avoid unnecessary risk to functional regions subserving language and sensori-motor pathways. Based on the data presented here, language localization is variable in the entire population, with only certainty existing for the inferior frontal region responsible for motor speech. Anatomical landmarks such as the anterior temporal tip for temporal lobe language sites and the posterior aspect of the lateral sphenoid wing for the frontal lobe language zones are unreliable in avoiding postoperative aphasias. Thus, individual mapping to identify essential language sites has the greatest likelihood of avoiding permanent deficits in naming, reading, and motor speech. In a similar approach, motor and sensory pathways from the cortex and underlying white matter may be reliably stimulated and mapped in both awake and asleep patients. Although these techniques require an additional operative time and equipment nominally priced, the result is often gratifying, as postoperative morbidity has been greatly reduced in the process of incorporating these surgical strategies. The patients quality of life is improved in terms of seizure control, with or without antiepileptic drugs. This avoids having to perform a second costly operative procedure, which is routinely done when extraoperative stimulation and recording is done via subdural grids. In addition, an aggressive tumor resection at the initial operation lengthens the time to tumor recurrence and often obviates the need for a subsequent reoperation. Thus, intraoperative functional mapping may be best alluded to as a surgical technique that results in "minimalism in the long term".
Language Training for Trainable Mentally Retarded Children: ITPA, Peabody, and Distar Techniques.
ERIC Educational Resources Information Center
Leiss, Robert H.; Proger, Barton B.
To determine the most effective language training activities for trainable mentally retarded (TMR) children, the variables of degree of previous language training, IQ, Peabody language treatment program versus Distar language treatment program, pretest versus posttest, and sex were examined with 122 TMR Ss (7 to 14 years old). Results of the…
The Use of the First Language in Second Language Learning Reconsidered
ERIC Educational Resources Information Center
Halasa, Najwa Hanna; Al-Manaseer, Majeda
2012-01-01
This paper aims to study new techniques in second language learning involving the active use of the mother tongue in classroom situations. Several teaching methods will be discussed such as The Alternating Approach, The New Concurrent Method, and Community Language Learning method. These methods of employing the first language recognise the link…
ERIC Educational Resources Information Center
Sager, Naomi
This investigation matches the emerging techniques in computerized natural language processing against emerging needs for such techniques in the information field to evaluate and extend such techniques for future applications and to establish a basis and direction for further research toward these goals. An overview describes developments in the…
Stanton, Amelia M.; Meston, Cindy M.
2017-01-01
Abstract This is the first study to examine language use and sexual self-schemas in natural language data extracted from posts to a large online forum. Recently, two studies applied advanced text analysis techniques to examine differences in language use and sexual self-schemas between women with and without a history of childhood sexual abuse. The aim of the current study was to test the ecological validity of the differences in language use and sexual self-schema themes that emerged between these two groups of women in the laboratory. Archival natural language data were extracted from a social media website and analyzed using LIWC2015, a computerized text analysis program, and other word counting approaches. The differences in both language use and sexual self-schema themes that manifested in recent laboratory research were replicated and validated in the large online sample. To our knowledge, these results provide the first empirical examination of sexual cognitions as they occur in the real world. These results also suggest that natural language analysis of text extracted from social media sites may be a potentially viable precursor or alternative to laboratory measurement of sexual trauma phenomena, as well as clinical phenomena, more generally. PMID:28570129
Language Magazine: The Journal of Communication & Education, 2002.
ERIC Educational Resources Information Center
Ward, Ben, Ed.
2002-01-01
These 12 issues of the journal include articles on such topics as the following: classical languages; early literacy; ancient languages; study abroad; teacher training; dialects; computer uses in education; classroom techniques; illustrated dictionaries for English-as-a-Second-Language (ESL) students; communication through poetry; bilingual…
An Application of Epidemiological Modeling to Information Diffusion
NASA Astrophysics Data System (ADS)
McCormack, Robert; Salter, William
Messages often spread within a population through unofficial - particularly web-based - media. Such ideas have been termed "memes." To impede the flow of terrorist messages and to promote counter messages within a population, intelligence analysts must understand how messages spread. We used statistical language processing technologies to operationalize "memes" as latent topics in electronic text and applied epidemiological techniques to describe and analyze patterns of message propagation. We developed our methods and applied them to English-language newspapers and blogs in the Arab world. We found that a relatively simple epidemiological model can reproduce some dynamics of observed empirical relationships.
Schrader, Ulrich; Tackenberg, Peter; Widmer, Rudolf; Portenier, Lucien; König, Peter
2007-01-01
To ease and speed up the translation of the ICNP version 1 into the German language a web service was developed to support the collaborative work of all Austrian, Swiss, and German translators and subsequently of the evaluators of the resultant translation. The web service does help to support a modified Delphi technique. Since the web service is multilingual by design it can facilitate the translation of the ICNP into other languages as well. The process chosen can be adopted by other projects involved in translating terminologies.
Rule groupings in expert systems using nearest neighbour decision rules, and convex hulls
NASA Technical Reports Server (NTRS)
Anastasiadis, Stergios
1991-01-01
Expert System shells are lacking in many areas of software engineering. Large rule based systems are not semantically comprehensible, difficult to debug, and impossible to modify or validate. Partitioning a set of rules found in CLIPS (C Language Integrated Production System) into groups of rules which reflect the underlying semantic subdomains of the problem, will address adequately the concerns stated above. Techniques are introduced to structure a CLIPS rule base into groups of rules that inherently have common semantic information. The concepts involved are imported from the field of A.I., Pattern Recognition, and Statistical Inference. Techniques focus on the areas of feature selection, classification, and a criteria of how 'good' the classification technique is, based on Bayesian Decision Theory. A variety of distance metrics are discussed for measuring the 'closeness' of CLIPS rules and various Nearest Neighbor classification algorithms are described based on the above metric.
ERIC Educational Resources Information Center
Phillips, M. K.
1981-01-01
Discusses questions concerning training students in techniques of academic work and use of the English language in this context. These questions, currently researched at the English Language Center of King Abdulaziz University, focus on the notion of task as a minimal pedagogic unit, and on task-objective coordination criteria. Societe Nouvelle…
NASA Technical Reports Server (NTRS)
2001-01-01
In this contract, which is a component of a larger contract that we plan to submit in the coming months, we plan to study the preprocessing issues which arise in applying natural language processing techniques to NASA-KSC problem reports. The goals of this work will be to deal with the issues of: a) automatically obtaining the problem reports from NASA-KSC data bases, b) the format of these reports and c) the conversion of these reports to a format that will be adequate for our natural language software. At the end of this contract, we expect that these problems will be solved and that we will be ready to apply our natural language software to a text database of over 1000 KSC problem reports.
Using natural language processing techniques to inform research on nanotechnology.
Lewinski, Nastassja A; McInnes, Bridget T
2015-01-01
Literature in the field of nanotechnology is exponentially increasing with more and more engineered nanomaterials being created, characterized, and tested for performance and safety. With the deluge of published data, there is a need for natural language processing approaches to semi-automate the cataloguing of engineered nanomaterials and their associated physico-chemical properties, performance, exposure scenarios, and biological effects. In this paper, we review the different informatics methods that have been applied to patent mining, nanomaterial/device characterization, nanomedicine, and environmental risk assessment. Nine natural language processing (NLP)-based tools were identified: NanoPort, NanoMapper, TechPerceptor, a Text Mining Framework, a Nanodevice Analyzer, a Clinical Trial Document Classifier, Nanotoxicity Searcher, NanoSifter, and NEIMiner. We conclude with recommendations for sharing NLP-related tools through online repositories to broaden participation in nanoinformatics.
Arabic writer identification based on diacritic's features
NASA Astrophysics Data System (ADS)
Maliki, Makki; Al-Jawad, Naseer; Jassim, Sabah A.
2012-06-01
Natural languages like Arabic, Kurdish, Farsi (Persian), Urdu, and any other similar languages have many features, which make them different from other languages like Latin's script. One of these important features is diacritics. These diacritics are classified as: compulsory like dots which are used to identify/differentiate letters, and optional like short vowels which are used to emphasis consonants. Most indigenous and well trained writers often do not use all or some of these second class of diacritics, and expert readers can infer their presence within the context of the writer text. In this paper, we investigate the use of diacritics shapes and other characteristic as parameters of feature vectors for Arabic writer identification/verification. Segmentation techniques are used to extract the diacritics-based feature vectors from examples of Arabic handwritten text. The results of evaluation test will be presented, which has been carried out on an in-house database of 50 writers. Also the viability of using diacritics for writer recognition will be demonstrated.
Verus: A Tool for Quantitative Analysis of Finite-State Real-Time Systems.
1996-08-12
Symbolic model checking is a technique for verifying finite-state concurrent systems that has been extended to handle real - time systems . Models with...up to 10(exp 30) states can often be verified in minutes. In this paper, we present a new tool to analyze real - time systems , based on this technique...We have designed a language, called Verus, for the description of real - time systems . Such a description is compiled into a state-transition graph and
ChemicalTagger: A tool for semantic text-mining in chemistry.
Hawizy, Lezan; Jessop, David M; Adams, Nico; Murray-Rust, Peter
2011-05-16
The primary method for scientific communication is in the form of published scientific articles and theses which use natural language combined with domain-specific terminology. As such, they contain free owing unstructured text. Given the usefulness of data extraction from unstructured literature, we aim to show how this can be achieved for the discipline of chemistry. The highly formulaic style of writing most chemists adopt make their contributions well suited to high-throughput Natural Language Processing (NLP) approaches. We have developed the ChemicalTagger parser as a medium-depth, phrase-based semantic NLP tool for the language of chemical experiments. Tagging is based on a modular architecture and uses a combination of OSCAR, domain-specific regex and English taggers to identify parts-of-speech. The ANTLR grammar is used to structure this into tree-based phrases. Using a metric that allows for overlapping annotations, we achieved machine-annotator agreements of 88.9% for phrase recognition and 91.9% for phrase-type identification (Action names). It is possible parse to chemical experimental text using rule-based techniques in conjunction with a formal grammar parser. ChemicalTagger has been deployed for over 10,000 patents and has identified solvents from their linguistic context with >99.5% precision.
[Application of text mining approach to pre-education prior to clinical practice].
Koinuma, Masayoshi; Koike, Katsuya; Nakamura, Hitoshi
2008-06-01
We developed a new survey analysis technique to understand students' actual aims for effective pretraining prior to clinical practice. We asked third-year undergraduate students to write fixed-style complete and free sentences on "preparation of drug dispensing." Then, we converted their sentence data in to text style and performed Japanese-language morphologic analysis on the data using language analysis software. We classified key words, which were created on the basis of the word class information of the Japanese language morphologic analysis, into categories based on causes and characteristics. In addition to this, we classified the characteristics into six categories consisting of those concepts including "knowledge," "skill and attitude," "image," etc. with the KJ method technique. The results showed that the awareness of students of "preparation of drug dispensing" tended to be approximately three-fold more frequent in "skill and attitude," "risk," etc. than in "knowledge." Regarding the characteristics in the category of the "image," words like "hard," "challenging," "responsibility," "life," etc. frequently occurred. The results of corresponding analysis showed that the characteristics of the words "knowledge" and "skills and attitude" were independent. As the result of developing a cause-and-effect diagram, it was demonstrated that the phase "hanging tough" described most of the various factors. We thus could understand students' actual feelings by applying text-mining as a new survey analysis technique.
NASA Technical Reports Server (NTRS)
Evers, Ken H.; Bachert, Robert F.
1987-01-01
The IDEAL (Integrated Design and Engineering Analysis Languages) modeling methodology has been formulated and applied over a five-year period. It has proven to be a unique, integrated approach utilizing a top-down, structured technique to define and document the system of interest; a knowledge engineering technique to collect and organize system descriptive information; a rapid prototyping technique to perform preliminary system performance analysis; and a sophisticated simulation technique to perform in-depth system performance analysis.
NASA Astrophysics Data System (ADS)
Chakaveh, Sepideh; Skaley, Detlef; Laine, Patricia; Haeger, Ralf; Maad, Soha
2003-01-01
Today, interactive multimedia educational systems are well established, as they prove useful instruments to enhance one's learning capabilities. Hitherto, the main difficulty with almost all E-Learning systems was latent in the rich media implementation techniques. This meant that each and every system should be created individually as reapplying the media, be it only a part, or the whole content was not directly possible, as everything must be applied mechanically i.e. by hand. Consequently making E-learning systems exceedingly expensive to generate, both in time and money terms. Media-3D or M3D is a new platform independent programming language, developed at the Fraunhofer Institute Media Communication to enable visualisation and simulation of E-Learning multimedia content. M3D is an XML-based language, which is capable of distinguishing between the3D models from that of the 3D scenes, as well as handling provisions for animations, within the programme. Here we give a technical account of M3D programming language and briefly describe two specific application scenarios where M3D is applied to create virtual reality E-Learning content for training of technical personnel.
Culture in Southeast Asian Language Classes.
ERIC Educational Resources Information Center
Liem, Nguyen Dang
A view of the status of Southeast Asian language programs in American schools leads the author to comment on five interrelated issues. They include: (1) the importance of Southeast Asian language and culture teaching and learning, (2) integrating culture in Southeast Asian language classes, (3) teaching techniques, (4) staffing, and (5)…
One Approach to Teaching the Specific Language Disabled Adult Language Arts.
ERIC Educational Resources Information Center
Peterson, Binnie L.
1981-01-01
One approach never before used in adult language arts instruction--the Slingerland Simultaneous Multisensory Technique--has been found useful for specific language disabled adults in multisensory programs at Anchorage Community College. The Slingerland method builds from single sight, sound, and feel of letters through combinations, encoding,…
Cross Currents; Communication/Language/Cross-Cultural Skills, Volume VIII, Number 2.
ERIC Educational Resources Information Center
Cross Currents, 1981
1981-01-01
The following articles on second language teaching techniques, English as a second language, and cross cultural communication are included: (1) "'Honne' and 'Tatemae': Tools for Developing Communicative Competence in a Second Language," by Gregory J. Thompson; (2) "Using Video-Taped Movies with Advanced ESOL Students," by…
Drama Techniques in Language Learning.
ERIC Educational Resources Information Center
Maley, Alan; Duff, Alan
The drama activities in this teaching guide are designed to develop second language learning skills by constructing situations that require the student to concentrate on the meaning and emotional content of language rather than on its structure. In an attempt to involve the whole personality of the learner in the acquisition of language, the…
Using the SIOP Model to Improve Middle School Science Instruction. CREATE Brief
ERIC Educational Resources Information Center
Himmel, Jennifer; Short, Deborah J.; Richards, Catherine; Echevarria, Jana
2009-01-01
This brief provides an overview of the SIOP Model and highlights how teachers can develop content and language objectives, emphasize key vocabulary, promote interaction, and incorporate effective review and assessment techniques within the context of middle school science. It provides research-based examples and strategies in order to illustrate…
Explaining Variation in Instructional Time: An Application of Quantile Regression
ERIC Educational Resources Information Center
Corey, Douglas Lyman; Phelps, Geoffrey; Ball, Deborah Loewenberg; Demonte, Jenny; Harrison, Delena
2012-01-01
This research is conducted in the context of a large-scale study of three nationally disseminated comprehensive school reform projects (CSRs) and examines how school- and classroom-level factors contribute to variation in instructional time in English language arts and mathematics. When using mean-based OLS regression techniques such as…
Natural Language Techniques for Decision Support Based on Patient Complaints
ERIC Educational Resources Information Center
ElMessiry, Adel Magdi
2016-01-01
Complaining is a fundamental human characteristic that has prevailed throughout the ages. We normally complain about something that went wrong. Patient complaints are no exception; they focus on problems that occurred during the episode of care. The Institute of Medicine estimated that each year thousands of patients die due to medical errors. The…
The SeaHorn Verification Framework
NASA Technical Reports Server (NTRS)
Gurfinkel, Arie; Kahsai, Temesghen; Komuravelli, Anvesh; Navas, Jorge A.
2015-01-01
In this paper, we present SeaHorn, a software verification framework. The key distinguishing feature of SeaHorn is its modular design that separates the concerns of the syntax of the programming language, its operational semantics, and the verification semantics. SeaHorn encompasses several novelties: it (a) encodes verification conditions using an efficient yet precise inter-procedural technique, (b) provides flexibility in the verification semantics to allow different levels of precision, (c) leverages the state-of-the-art in software model checking and abstract interpretation for verification, and (d) uses Horn-clauses as an intermediate language to represent verification conditions which simplifies interfacing with multiple verification tools based on Horn-clauses. SeaHorn provides users with a powerful verification tool and researchers with an extensible and customizable framework for experimenting with new software verification techniques. The effectiveness and scalability of SeaHorn are demonstrated by an extensive experimental evaluation using benchmarks from SV-COMP 2015 and real avionics code.
ERIC Educational Resources Information Center
Casey, Laura Baylot; Bicard, David F.
2009-01-01
Language development in typically developing children has a very predictable pattern beginning with crying, cooing, babbling, and gestures along with the recognition of spoken words, comprehension of spoken words, and then one word utterances. This predictable pattern breaks down for children with language disorders. This article will discuss…
Use of the Dichotic Listening Technique with Learning Disabilities
ERIC Educational Resources Information Center
Obrzut, John E.; Mahoney, Emery B.
2011-01-01
Dichotic listening (DL) techniques have been used extensively as a non-invasive procedure to assess language lateralization among children with and without learning disabilities (LD), and with individuals who have other auditory system related brain disorders. Results of studies using DL have indicated that language is lateralized in children with…
ERIC Educational Resources Information Center
Aaron-Stanton, Desiree
2014-01-01
This ethnographic study of language shows the importance of educators' appropriate use of linguistic, nonlinguistic, and paralinguistic communication techniques when working with elementary students within two classrooms who have behavioral and emotional disorders. This study focused on communication techniques used by teachers and…
Structural Equation Modeling: Possibilities for Language Learning Researchers
ERIC Educational Resources Information Center
Hancock, Gregory R.; Schoonen, Rob
2015-01-01
Although classical statistical techniques have been a valuable tool in second language (L2) research, L2 research questions have started to grow beyond those techniques' capabilities, and indeed are often limited by them. Questions about how complex constructs relate to each other or to constituent subskills, about longitudinal development in…
The Effect of Cooperative Learning Techniques on College Students' Reading Comprehension
ERIC Educational Resources Information Center
Jalilifar, Alireza
2010-01-01
This study investigated the impact of Student Team Achievement Divisions (STAD) and Group Investigation (GI), which are two techniques of Cooperative Learning, on students' reading comprehension achievement of English as a Foreign Language (EFL). After administering an English Language Proficiency test (Fowler and Coe, 1976), 90 homogeneous…
MetaJC++: A flexible and automatic program transformation technique using meta framework
NASA Astrophysics Data System (ADS)
Beevi, Nadera S.; Reghu, M.; Chitraprasad, D.; Vinodchandra, S. S.
2014-09-01
Compiler is a tool to translate abstract code containing natural language terms to machine code. Meta compilers are available to compile more than one languages. We have developed a meta framework intends to combine two dissimilar programming languages, namely C++ and Java to provide a flexible object oriented programming platform for the user. Suitable constructs from both the languages have been combined, thereby forming a new and stronger Meta-Language. The framework is developed using the compiler writing tools, Flex and Yacc to design the front end of the compiler. The lexer and parser have been developed to accommodate the complete keyword set and syntax set of both the languages. Two intermediate representations have been used in between the translation of the source program to machine code. Abstract Syntax Tree has been used as a high level intermediate representation that preserves the hierarchical properties of the source program. A new machine-independent stack-based byte-code has also been devised to act as a low level intermediate representation. The byte-code is essentially organised into an output class file that can be used to produce an interpreted output. The results especially in the spheres of providing C++ concepts in Java have given an insight regarding the potential strong features of the resultant meta-language.
Microcontroller-based locking in optics experiments
DOE Office of Scientific and Technical Information (OSTI.GOV)
Huang, K.; State Key Laboratory of Precision Spectroscopy, East China Normal University, Shanghai 200062; Le Jeannic, H.
2014-12-15
Optics experiments critically require the stable and accurate locking of relative phases between light beams or the stabilization of Fabry-Perot cavity lengths. Here, we present a simple and inexpensive technique based on a stand-alone microcontroller unit to perform such tasks. Easily programmed in C language, this reconfigurable digital locking system also enables automatic relocking and sequential functioning. Different algorithms are detailed and applied to fringe locking and to low- and high-finesse optical cavity stabilization, without the need of external modulations or error signals. This technique can readily replace a number of analog locking systems advantageously in a variety of opticalmore » experiments.« less
Specification, Design, and Analysis of Advanced HUMS Architectures
NASA Technical Reports Server (NTRS)
Mukkamala, Ravi
2004-01-01
During the two-year project period, we have worked on several aspects of domain-specific architectures for HUMS. In particular, we looked at using scenario-based approach for the design and designed a language for describing such architectures. The language is now being used in all aspects of our HUMS design. In particular, we have made contributions in the following areas. 1) We have employed scenarios in the development of HUMS in three main areas. They are: (a) To improve reusability by using scenarios as a library indexing tool and as a domain analysis tool; (b) To improve maintainability by recording design rationales from two perspectives - problem domain and solution domain; (c) To evaluate the software architecture. 2) We have defined a new architectural language called HADL or HUMS Architectural Definition Language. It is a customized version of xArch/xADL. It is based on XML and, hence, is easily portable from domain to domain, application to application, and machine to machine. Specifications written in HADL can be easily read and parsed using the currently available XML parsers. Thus, there is no need to develop a plethora of software to support HADL. 3) We have developed an automated design process that involves two main techniques: (a) Selection of solutions from a large space of designs; (b) Synthesis of designs. However, the automation process is not an absolute Artificial Intelligence (AI) approach though it uses a knowledge-based system that epitomizes a specific HUMS domain. The process uses a database of solutions as an aid to solve the problems rather than creating a new design in the literal sense. Since searching is adopted as the main technique, the challenges involved are: (a) To minimize the effort in searching the database where a very large number of possibilities exist; (b) To develop representations that could conveniently allow us to depict design knowledge evolved over many years; (c) To capture the required information that aid the automation process.
Innovative application of virtual display technique in virtual museum
NASA Astrophysics Data System (ADS)
Zhang, Jiankang
2017-09-01
Virtual museum refers to display and simulate the functions of real museum on the Internet in the form of 3 Dimensions virtual reality by applying interactive programs. Based on Virtual Reality Modeling Language, virtual museum building and its effective interaction with the offline museum lie in making full use of 3 Dimensions panorama technique, virtual reality technique and augmented reality technique, and innovatively taking advantages of dynamic environment modeling technique, real-time 3 Dimensions graphics generating technique, system integration technique and other key virtual reality techniques to make sure the overall design of virtual museum.3 Dimensions panorama technique, also known as panoramic photography or virtual reality, is a technique based on static images of the reality. Virtual reality technique is a kind of computer simulation system which can create and experience the interactive 3 Dimensions dynamic visual world. Augmented reality, also known as mixed reality, is a technique which simulates and mixes the information (visual, sound, taste, touch, etc.) that is difficult for human to experience in reality. These technologies make virtual museum come true. It will not only bring better experience and convenience to the public, but also be conducive to improve the influence and cultural functions of the real museum.
Research Handbook on Children's Language Learning. Preliminary Edition. Final Report.
ERIC Educational Resources Information Center
Dato, Daniel P.
This handbook serves as an introduction to the study of children's language development and as a supplementary aid in the training of research workers in the field of children's language learning. As a teaching aid, it is suggested this work be used with a film entitled "Psycholinquistic Research Techniques: Children's Language." Major chapters…
Corpus Linguistics for Korean Language Learning and Teaching. NFLRC Technical Report No. 26
ERIC Educational Resources Information Center
Bley-Vroman, Robert, Ed.; Ko, Hyunsook, Ed.
2006-01-01
Dramatic advances in personal computer technology have given language teachers access to vast quantities of machine-readable text, which can be analyzed with a view toward improving the basis of language instruction. Corpus linguistics provides analytic techniques and practical tools for studying language in use. This volume includes both an…
Podcasting Communities and Second Language Pronunciation
ERIC Educational Resources Information Center
Lord, Gillian
2008-01-01
Although often neglected in language classrooms, second language phonology is a crucial element in language learning because it is often the most salient feature in the speech of a foreigner. As instructors, we must decide how to emphasize pronunciation and what techniques to use. This article discusses a collaborative pod-casting project in an…
Anthropology and Language Science in Educational Development Newsletter, No. 2/3.
ERIC Educational Resources Information Center
United Nations Educational, Scientific, and Cultural Organization, Paris (France). Div. of Structures and Content of Life-Long Education.
This issue of the ALSED newsletter contains: (1) a description of the Anthropology and Language Science in Educational Development (ALSED) program; (2) information on the meeting of experts on diversification of methods and techniques for teaching a second language or foreign languages (Paris, Unesco, 15-20 September, 1975), which discussed such…
An Intelligent Computer Assisted Language Learning System for Arabic Learners
ERIC Educational Resources Information Center
Shaalan, Khaled F.
2005-01-01
This paper describes the development of an intelligent computer-assisted language learning (ICALL) system for learning Arabic. This system could be used for learning Arabic by students at primary schools or by learners of Arabic as a second or foreign language. It explores the use of Natural Language Processing (NLP) techniques for learning…
On the construction of thinking.
Avzaradel, José Renato
2011-08-01
In this study the author attempts to widen our understanding of language and thought construction by using Chinese ideograms as a model. This allows us to understand how concrete internal objects can coalesce to form abstract internal objects, e.g. concepts, ideas, symbols, and metaphors. One can establish a pictorial language that antedates verbal language. This is the case in the dream work that we routinely study. Thus, this study delves into the physiology of the alpha function. To this end the author not only relies on psychoanalytic concepts but also on concepts from philosophy and from language itself. The author presents the ideograms not only for discussion but also for their visual impact. If we really want to understand pictorial images, they must be seen and not just discussed from a theoretical point of view. Based on this understanding the author advances a proposal for the technique used in treating patients who cannot establish mental representations for their affect. And the technical proposal is illustrated in two clinical cases. Copyright © 2011 Institute of Psychoanalysis.
Behavioral Signal Processing: Deriving Human Behavioral Informatics From Speech and Language
Narayanan, Shrikanth; Georgiou, Panayiotis G.
2013-01-01
The expression and experience of human behavior are complex and multimodal and characterized by individual and contextual heterogeneity and variability. Speech and spoken language communication cues offer an important means for measuring and modeling human behavior. Observational research and practice across a variety of domains from commerce to healthcare rely on speech- and language-based informatics for crucial assessment and diagnostic information and for planning and tracking response to an intervention. In this paper, we describe some of the opportunities as well as emerging methodologies and applications of human behavioral signal processing (BSP) technology and algorithms for quantitatively understanding and modeling typical, atypical, and distressed human behavior with a specific focus on speech- and language-based communicative, affective, and social behavior. We describe the three important BSP components of acquiring behavioral data in an ecologically valid manner across laboratory to real-world settings, extracting and analyzing behavioral cues from measured data, and developing models offering predictive and decision-making support. We highlight both the foundational speech and language processing building blocks as well as the novel processing and modeling opportunities. Using examples drawn from specific real-world applications ranging from literacy assessment and autism diagnostics to psychotherapy for addiction and marital well being, we illustrate behavioral informatics applications of these signal processing techniques that contribute to quantifying higher level, often subjectively described, human behavior in a domain-sensitive fashion. PMID:24039277
Spacing Techniques in Second Language Vocabulary Acquisition: Short-Term Gains vs. Long-Term Memory
ERIC Educational Resources Information Center
Schuetze, Ulf
2015-01-01
This article reports the results of two experiments using the spacing technique (Leitner, 1972; Landauer & Bjork, 1978) in second language vocabulary acquisition. In the past, studies in this area have produced mixed results attempting to differentiate between massed, uniform and expanded intervals of spacing (Balota, Duchek, & Logan,…
Alternative Outlining Techniques for ESL Composition.
ERIC Educational Resources Information Center
Hubbard, Philip
Two methods of outlining are suggested for college-level students of English as a second language (ESL) who need the tools to master rhetorical patterns of academic written English that may be very different from those in their native languages. The two outlining techniques separate the four logically distinct tasks in the process of outlining:…
TECHNIQUES OF TAPE PREPARATION AND DUPLICATION, WITH SUGGESTIONS FOR A LANGUAGE LABORATORY.
ERIC Educational Resources Information Center
Kansas State Dept. of Public Instruction, Topeka.
PART ONE OF THIS BULLETIN PROVIDES HELP IN THE TWO CRITICAL AREAS OF MASTER TAPE PREPARATION AND DUPLICATION. SUPPLEMENTED BY NUMEROUS PHOTOGRAPHS AND DIAGRAMS OF EQUIPMENT AND DUPLICATION TECHNIQUES, THE BULLETIN DESCRIBES MASTER PROGRAM DUPLICATION USING LANGUAGE LABORATORY EQUIPMENT, A PROFESSIONAL MASS DUPLICATOR, A TAPE RECORDER, A RECORD…
Usefulness of Simultaneous EEG-NIRS Recording in Language Studies
ERIC Educational Resources Information Center
Wallois, F.; Mahmoudzadeh, M.; Patil, A.; Grebe, R.
2012-01-01
One of the most challenging tasks in neuroscience in language studies, is investigation of the brain's ability to integrate and process information. This task can only be successfully addressed by applying various assessment techniques integrated into a multimodal approach. Each of these techniques has its advantages and disadvantages, but help to…
ERIC Educational Resources Information Center
Baker, Amanda
2014-01-01
This study explored some of the intricate connections between the cognitions (beliefs, knowledge, perceptions, attitudes) and pedagogical practices of five English language teachers, specifically in relation to pronunciation-oriented techniques. Integral to the study was the use of semistructured interviews, classroom observations, and stimulated…
QPA-CLIPS: A language and representation for process control
NASA Technical Reports Server (NTRS)
Freund, Thomas G.
1994-01-01
QPA-CLIPS is an extension of CLIPS oriented towards process control applications. Its constructs define a dependency network of process actions driven by sensor information. The language consists of three basic constructs: TASK, SENSOR, and FILTER. TASK's define the dependency network describing alternative state transitions for a process. SENSOR's and FILTER's define sensor information sources used to activate state transitions within the network. Deftemplate's define these constructs and their run-time environment is an interpreter knowledge base, performing pattern matching on sensor information and so activating TASK's in the dependency network. The pattern matching technique is based on the repeatable occurrence of a sensor data pattern. QPA-CIPS has been successfully tested on a SPARCStation providing supervisory control to an Allen-Bradley PLC 5 controller driving molding equipment.
Justice, Laura M; Schmitt, Mary Beth; Murphy, Kimberly A; Pratt, Amy; Biancone, Tricia
2014-01-01
This study examined vocabulary intervention-in terms of targets and techniques-for children with language impairment receiving speech-language therapy in public schools (i.e., non-fee-paying schools) in the United States. Vocabulary treatments and targets were examined with respect to their alignment with the empirically validated practice of rich vocabulary intervention. Participants were forty-eight 5-7-year-old children participating in kindergarten or the first-grade year of school, all of whom had vocabulary-specific goals on their individualized education programmes. Two therapy sessions per child were coded to determine what vocabulary words were being directly targeted and what techniques were used for each. Study findings showed that the majority of words directly targeted during therapy were lower-level basic vocabulary words (87%) and very few (1%) were academically relevant. On average, three techniques were used per word to promote deep understanding. Interpreting findings against empirical descriptions of rich vocabulary intervention indicates that children were exposed to some but not all aspects of this empirically supported practice. © 2013 Royal College of Speech and Language Therapists.
Using natural language processing techniques to inform research on nanotechnology
Lewinski, Nastassja A
2015-01-01
Summary Literature in the field of nanotechnology is exponentially increasing with more and more engineered nanomaterials being created, characterized, and tested for performance and safety. With the deluge of published data, there is a need for natural language processing approaches to semi-automate the cataloguing of engineered nanomaterials and their associated physico-chemical properties, performance, exposure scenarios, and biological effects. In this paper, we review the different informatics methods that have been applied to patent mining, nanomaterial/device characterization, nanomedicine, and environmental risk assessment. Nine natural language processing (NLP)-based tools were identified: NanoPort, NanoMapper, TechPerceptor, a Text Mining Framework, a Nanodevice Analyzer, a Clinical Trial Document Classifier, Nanotoxicity Searcher, NanoSifter, and NEIMiner. We conclude with recommendations for sharing NLP-related tools through online repositories to broaden participation in nanoinformatics. PMID:26199848
Nikfarjam, Azadeh; Sarker, Abeed; O'Connor, Karen; Ginn, Rachel; Gonzalez, Graciela
2015-05-01
Social media is becoming increasingly popular as a platform for sharing personal health-related information. This information can be utilized for public health monitoring tasks, particularly for pharmacovigilance, via the use of natural language processing (NLP) techniques. However, the language in social media is highly informal, and user-expressed medical concepts are often nontechnical, descriptive, and challenging to extract. There has been limited progress in addressing these challenges, and thus far, advanced machine learning-based NLP techniques have been underutilized. Our objective is to design a machine learning-based approach to extract mentions of adverse drug reactions (ADRs) from highly informal text in social media. We introduce ADRMine, a machine learning-based concept extraction system that uses conditional random fields (CRFs). ADRMine utilizes a variety of features, including a novel feature for modeling words' semantic similarities. The similarities are modeled by clustering words based on unsupervised, pretrained word representation vectors (embeddings) generated from unlabeled user posts in social media using a deep learning technique. ADRMine outperforms several strong baseline systems in the ADR extraction task by achieving an F-measure of 0.82. Feature analysis demonstrates that the proposed word cluster features significantly improve extraction performance. It is possible to extract complex medical concepts, with relatively high performance, from informal, user-generated content. Our approach is particularly scalable, suitable for social media mining, as it relies on large volumes of unlabeled data, thus diminishing the need for large, annotated training data sets. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association.
Storyboard method of end-user programming with natural language configuration
Bouchard, Ann M; Osbourn, Gordon C
2013-11-19
A technique for end-user programming includes populating a template with graphically illustrated actions and then invoking a command to generate a screen element based on the template. The screen element is rendered within a computing environment and provides a mechanism for triggering execution of a sequence of user actions. The sequence of user actions is based at least in part on the graphically illustrated actions populated into the template.
Text-based plagiarism in scientific publishing: issues, developments and education.
Li, Yongyan
2013-09-01
Text-based plagiarism, or copying language from sources, has recently become an issue of growing concern in scientific publishing. Use of CrossCheck (a computational text-matching tool) by journals has sometimes exposed an unexpected amount of textual similarity between submissions and databases of scholarly literature. In this paper I provide an overview of the relevant literature, to examine how journal gatekeepers perceive textual appropriation, and how automated plagiarism-screening tools have been developed to detect text matching, with the technique now available for self-check of manuscripts before submission; I also discuss issues around English as an additional language (EAL) authors and in particular EAL novices being the typical offenders of textual borrowing. The final section of the paper proposes a few educational directions to take in tackling text-based plagiarism, highlighting the roles of the publishing industry, senior authors and English for academic purposes professionals.
Human Language Technology: Opportunities and Challenges
2005-01-01
because of the connections to and reliance on signal processing. Audio diarization critically includes indexing of speakers [12], since speaker ...to reduce inter- speaker variability in training. Standard techniques include vocal-tract length normalization, adaptation of acoustic models using...maximum likelihood linear regression (MLLR), and speaker -adaptive training based on MLLR. The acoustic models are mixtures of Gaussians, typically with
The Dig: A Study in Archaeology. Profiles of Promise 6.
ERIC Educational Resources Information Center
Risinger, C. Frederick; And Others
The activity described in this profile is based on the simulation Dig. Although designed primarily for use by social studies classes, Dig was expanded by Glen Ellyn teachers to include language arts, mathematics, and science. The objectives of the one-month unit were to: 1) teach techniques and procedures of archaeologists; 2) introduce students…
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…
Computing the Power-Density Spectrum for an Engineering Model
NASA Technical Reports Server (NTRS)
Dunn, H. J.
1982-01-01
Computer program for calculating of power-density spectrum (PDS) from data base generated by Advanced Continuous Simulation Language (ACSL) uses algorithm that employs fast Fourier transform (FFT) to calculate PDS of variable. Accomplished by first estimating autocovariance function of variable and then taking FFT of smoothed autocovariance function to obtain PDS. Fast-Fourier-transform technique conserves computer resources.
2004-12-01
NY 7. Erik Chaum NUWC Newport, RI 8. David Bellino NPRI Newport, RI 9. Dick Nadolink NUWC Newport, RI 10. VADM Roger Bacon (Ret...Science Advisor Pearl Harbor, HI 16. LT Andrew Hurvitz, USN FNMOC Monterey, CA 17. ENS Darin Keeter, USN FNMOC Monterey, CA 18. CAPT David
ERIC Educational Resources Information Center
Révész, Andrea; Sachs, Rebecca; Hama, Mika
2014-01-01
This investigation examined two techniques that may help learners focus on second language (L2) constructions when recasts are provided during meaning-based communicative activities: altering the cognitive complexity of tasks and manipulating the input frequency distributions of target constructions. We first independently assessed the validity of…
THE CONTEXTUAL ANALYSIS OF SYMBOLISM IN LANGUAGE.
ERIC Educational Resources Information Center
LAFFAL, JULIUS
A TECHNIQUE OF ANALYSIS OF SYMBOLISM IS PRESENTED, BASED ON THE IDEA THAT WORDS WHICH APPEAR IN CLOSE ASSOCIATION IN THE SPEECH OR WRITING OF AN INDIVIDUAL ARE PSYCHOLOGICALLY CLOSELY RELATED. THE LATENT MEANING, OR SYMBOLISM, OF A WORD IS ELUCIDATED BY SHOWING HOW CLOSE IT IS, CONCEPTUALLY, TO OTHER SELECTED WORDS OR THEMES IN THE INDIVIDUAL'S…
ERIC Educational Resources Information Center
Stotter, Philip L.; Culp, George H.
An experimental course in organic chemistry utilized computer-assisted instructional (CAI) techniques. The CAI lessons provided tutorial drill and practice and simulated experiments and reactions. The Conversational Language for Instruction and Computing was used, along with a CDC 6400-6600 system; students scheduled and completed the lessons at…
Suggestions for an Effective Drama-Based EFL Course at a Korean University
ERIC Educational Resources Information Center
Reed, Jennifer; Seong, Myeong-Hee
2013-01-01
This paper aims to suggest pragmatic instructions for conducting an English course that focuses on speaking and listening skills through using drama as a language teaching activity. Recent research on drama in the ESL/EFL classroom has been about the benefits of drama and methods one can use, but research on techniques, activities, and methodology…
Getting ESL Students to STRIP! (Smile, Talk, Relax, Interact, Participate).
ERIC Educational Resources Information Center
Chock, Roberta
Techniques for getting students of English as a second language to communicate in the classroom beginning on the first day are based on a relaxed classroom atmosphere and a well-prepared teacher. First-day activities should be well-planned, clearly presented, and move at a pace that keeps students' attention. The goal is for students to respond…
Innovative Language-Based & Object-Oriented Structured AMR Using Fortran 90 and OpenMP
NASA Technical Reports Server (NTRS)
Norton, C.; Balsara, D.
1999-01-01
Parallel adaptive mesh refinement (AMR) is an important numerical technique that leads to the efficient solution of many physical and engineering problems. In this paper, we describe how AMR programing can be performed in an object-oreinted way using the modern aspects of Fortran 90 combined with the parallelization features of OpenMP.
Errata: Response Analysis and Error Diagnosis Tools.
ERIC Educational Resources Information Center
Hart, Robert S.
This guide to ERRATA, a set of HyperCard-based tools for response analysis and error diagnosis in language testing, is intended as a user manual and general reference and designed to be used with the software (not included here). It has three parts. The first is a brief survey of computational techniques available for dealing with student test…
Nonlinear dynamic macromodeling techniques for audio systems
NASA Astrophysics Data System (ADS)
Ogrodzki, Jan; Bieńkowski, Piotr
2015-09-01
This paper develops a modelling method and a models identification technique for the nonlinear dynamic audio systems. Identification is performed by means of a behavioral approach based on a polynomial approximation. This approach makes use of Discrete Fourier Transform and Harmonic Balance Method. A model of an audio system is first created and identified and then it is simulated in real time using an algorithm of low computational complexity. The algorithm consists in real time emulation of the system response rather than in simulation of the system itself. The proposed software is written in Python language using object oriented programming techniques. The code is optimized for a multithreads environment.
Application of Effective Techniques in Teaching/Learning English
ERIC Educational Resources Information Center
Arora, Shweta; Joshi, Kavita A.; Koshy, Sonymol; Tewari, Deeksha
2017-01-01
English being a global language has become a vital element in all walks of life. The feelers of this language have left no sphere unmarked with its significance. Despite such a colossal tide for gaining command over the language it was found that the conventional pattern of teaching English language could not reap desired results. A comprehensive…
ERIC Educational Resources Information Center
National Council of Teachers of English, Champaign, IL.
Twenty-five articles describing techniques for teaching English are organized under four headings: language, literature, composition, and miscellany. Included in the language section are discussions of an oral language program for 3- to 5-year-old disadvantaged children, of language development through creative dramatics, of a junior high school…
Basic Helps for Teaching English as a Second Language.
ERIC Educational Resources Information Center
Frey, Betty J.
This book is designed for teachers of children whose first language is other than English, in particular, teachers who have had little or no formal training in the teaching of English as a second language (ESL). Although the emphasis is on the Spanish-speaking student, the same techniques and tools apply to speakers of other languages. The first…
The Effect of Mental Imaging Technique on Idiom Comprehension in EFL Learners
ERIC Educational Resources Information Center
Aydin, Burcu
2017-01-01
In an English Foreign Language learning context, where access to native like use of metaphorical language is limited, gaining this ability becomes challenging. For many years, foreign language educators didn't pay much attention to idiomatic language and assumed that idioms could only be taught through rote learning. For this reason, they face…
ERIC Educational Resources Information Center
Wattenmaker, Beverly; Lock, Joanne
This paper presents a method for making foreign language learning meaningful and interesting through using language as a tool for communicating about the self and others. Drawing from techniques developed by behavioral scientists, the foreign language was used to develop students' self-awareness and confidence. Learning activities were created,…
ERIC Educational Resources Information Center
Garfinkel, Alan, Ed.; And Others
The summary of the 1983 Central States Conference on the Teaching of Foreign Languages includes these papers: "A Look at Our Profession: Common Concerns, Common Dreams" (Mary Finocchiaro's keynote address to the 1982 Central States Conference); "Traversing the Language 'Gateway': The Passport Lesson" (Dana Carton); "Personal Growth Through…
Automating the generation of lexical patterns for processing free text in clinical documents.
Meng, Frank; Morioka, Craig
2015-09-01
Many tasks in natural language processing utilize lexical pattern-matching techniques, including information extraction (IE), negation identification, and syntactic parsing. However, it is generally difficult to derive patterns that achieve acceptable levels of recall while also remaining highly precise. We present a multiple sequence alignment (MSA)-based technique that automatically generates patterns, thereby leveraging language usage to determine the context of words that influence a given target. MSAs capture the commonalities among word sequences and are able to reveal areas of linguistic stability and variation. In this way, MSAs provide a systemic approach to generating lexical patterns that are generalizable, which will both increase recall levels and maintain high levels of precision. The MSA-generated patterns exhibited consistent F1-, F.5-, and F2- scores compared to two baseline techniques for IE across four different tasks. Both baseline techniques performed well for some tasks and less well for others, but MSA was found to consistently perform at a high level for all four tasks. The performance of MSA on the four extraction tasks indicates the method's versatility. The results show that the MSA-based patterns are able to handle the extraction of individual data elements as well as relations between two concepts without the need for large amounts of manual intervention. We presented an MSA-based framework for generating lexical patterns that showed consistently high levels of both performance and recall over four different extraction tasks when compared to baseline methods. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.
Glaser, Meryl; Tucker, William David; Diehl, Jan Carel
2016-01-01
Background Many cultural and linguistic Deaf people in South Africa face disparity when accessing health information because of social and language barriers. The number of certified South African Sign Language interpreters (SASLIs) is also insufficient to meet the demand of the Deaf population in the country. Our research team, in collaboration with the Deaf communities in Cape Town, devised a mobile health app called SignSupport to bridge the communication gaps in health care contexts. We consequently plan to extend our work with a Health Knowledge Transfer System (HKTS) to provide Deaf people with accessible, understandable, and accurate health information. We conducted an explorative study to prepare the groundwork for the design and development of the system. Objectives To investigate the current modes of health information distributed to Deaf people in Cape Town, identify the health information sources Deaf people prefer and their reasons, and define effective techniques for delivering understandable information to generate the groundwork for the mobile health app development with and for Deaf people. Methods A qualitative methodology using semistructured interviews with sensitizing tools was used in a community-based codesign setting. A total of 23 Deaf people and 10 health professionals participated in this study. Inductive and deductive coding was used for the analysis. Results Deaf people currently have access to 4 modes of health information distribution through: Deaf and other relevant organizations, hearing health professionals, personal interactions, and the mass media. Their preferred and accessible sources are those delivering information in signed language and with communication techniques that match Deaf people’s communication needs. Accessible and accurate health information can be delivered to Deaf people by 3 effective techniques: using signed language including its dialects, through health drama with its combined techniques, and accompanying the information with pictures in combination with simple text descriptions. Conclusions We can apply the knowledge gained from this exploration to build the groundwork of the mobile health information system. We see an opportunity to design an HKTS to assist the information delivery during the patient-health professional interactions in primary health care settings. Deaf people want to understand the information relevant to their diagnosed disease and its self-management. The 3 identified effective techniques will be applied to deliver health information through the mobile health app. PMID:27836819
Best Practices for Implementing Inquiry-Based Science Instruction for English Language Learners
NASA Astrophysics Data System (ADS)
Williams, Erica
This applied dissertation was designed to provide better access to current information to link literacy and science. Students frequently used literacy skills to gather information and communicate understanding of scientific concepts to others. Science became applicable through the tools associated with literacy. There was a need for instruction that integrated language development with science content. This research focused on revealing the instructional trends of English language learners science teachers in the United Arab Emirates. The researcher introduced the questionnaire surveys in the form of a professional development session. The participants were asked to complete the questionnaire concurrently with the descriptive presentation of each component of the sheltered instruction observation protocol (SIOP) model. Completing the SIOP Checklist Survey provided data on the type of constructivist strategies (best practices) teachers were utilizing and to what degree of fidelity the strategies were being implemented. Teachers were encouraged to continue to use these services for curriculum enrichment and as an additional source for future lesson plans. An analysis of the data revealed authentic learning as the most common best practice used with the most fidelity by teachers. The demographic subgroup, teaching location, was the only subgroup to show statistical evidence of an association between teaching location and the use of problem-based learning techniques in the classroom. Among factors that influenced the degree of teacher fidelity, teachers' expectation for student achievement had a moderate degree of association between the use of scaffolding techniques and co-operative learning.
A common distributed language approach to software integration
NASA Technical Reports Server (NTRS)
Antonelli, Charles J.; Volz, Richard A.; Mudge, Trevor N.
1989-01-01
An important objective in software integration is the development of techniques to allow programs written in different languages to function together. Several approaches are discussed toward achieving this objective and the Common Distributed Language Approach is presented as the approach of choice.
Alston, Richard; Sosland, Rachel; Tuohy, Anne; Weiler, Nori Anna; Zeitlin, Diane
2015-01-01
This paper represents and attempts to describe psychoanalytically informed work applied in a school setting with children with special needs. While many therapists at the Parkside School are trained in analytic techniques and principles, these ideas have not traditionally been applied to children with language-based learning difficulties. Over the years, we have found that analytic ideas such as transference, countertransference, projective identification, containment, and attachment are especially salient to our understanding of these very complex children. Despite being in a school--a nontraditional setting for psychoanalysis--children are seen in individual and group therapy, often more than once a week. We believe that therapeutic relationships and play (sometimes bringing a child to a place of being able to play) are especially mutative with children with language-based learning challenges. Play and relationship provide a holding environment that, over time, allows for the reorganization of a child's often immature developmental capacities into a sense of agency that captures more clearly a child's innate potential. This article includes case studies of children with complex language-based learning difficulties, including autism spectrum disorders.
The role of the putamen in language: a meta-analytic connectivity modeling study.
Viñas-Guasch, Nestor; Wu, Yan Jing
2017-12-01
The putamen is a subcortical structure that forms part of the dorsal striatum of basal ganglia, and has traditionally been associated with reinforcement learning and motor control, including speech articulation. However, recent studies have shown involvement of the left putamen in other language functions such as bilingual language processing (Abutalebi et al. 2012) and production, with some authors arguing for functional segregation of anterior and posterior putamen (Oberhuber et al. 2013). A further step in exploring the role of putamen in language would involve identifying the network of coactivations of not only the left, but also the right putamen, given the involvement of right hemisphere in high order language functions (Vigneau et al. 2011). Here, a meta-analytic connectivity modeling technique was used to determine the patterns of coactivation of anterior and bilateral putamen in the language domain. Based on previous evidence, we hypothesized that left putamen coactivations would include brain regions directly associated with language processing, whereas right putamen coactivations would encompass regions involved in broader semantic processes, such as memory and visual imagery. The results showed that left anterior putamen coactivated with clusters predominantly in left hemisphere, encompassing regions directly associated with language processing, a left posterior putamen network spanning both hemispheres, and cerebellum. In right hemisphere, coactivations were in both hemispheres, in regions associated with visual and orthographic processing. These results confirm the differential involvement of right and left putamen in different language components, thus highlighting the need for further research into the role of putamen in language.
ERIC Educational Resources Information Center
Arzt, Jessica; Kost, Claudia
2016-01-01
The grammatical gender of German nouns continues to pose a challenge to second language learners. Following from a connectionist framework, this study explores the effect of two input enhancement techniques, color-coding and gendered actors, on the learning of grammatical gender by beginning learners of German during a vocabulary acquisition…
ERIC Educational Resources Information Center
Bear, Donald R.
Designed to instruct adult literacy teachers in using Language-Experience and Oral History techniques and distributed statewide to teachers in Nevada, this manual presents reading materials, diagnostic packages, and guidelines for adult literacy program organization. The first of three chapters begins with an introduction to the manual, and…
ERIC Educational Resources Information Center
Michel, Joseph; Patin, Paul
Discussion of techniques for teaching vocabulary in language programs centers on five major areas: (1) "knowing" the word, (2) selection of vocabulary, (3) grading vocabulary for presentation, (4) teaching methods, and (5) vocabulary expansion in advanced levels. Theory of vocabulary instruction is largely supported by writings of Nelson Brooks,…
The Non-English Speaking Student in the Elementary Classroom--A Beginning.
ERIC Educational Resources Information Center
Henry, Edith H.
This guide for elementary teachers who are not trained in techniques of English as a second language (ESL) but who have limited English-speaking students in their classes offers specific classroom techniques for helping those students. The first section presents a brief summary of research in first and second language acquisition. The second and…
Video Killed the Radio Star: Language Students' Use of Electronic Resources-Reading or Viewing?
ERIC Educational Resources Information Center
Kiliçkaya, Ferit
2016-01-01
The current study aimed to investigate language students' use of print and electronic resources for their research papers required in research techniques class, focusing on which reading strategies they used while reading these resources. The participants of the study were 90 sophomore students enrolled in the research techniques class offered at…
Innovative Teaching Practice: Traditional and Alternative Methods (Challenges and Implications)
ERIC Educational Resources Information Center
Nurutdinova, Aida R.; Perchatkina, Veronika G.; Zinatullina, Liliya M.; Zubkova, Guzel I.; Galeeva, Farida T.
2016-01-01
The relevance of the present issue is caused be the strong need in alternative methods of learning foreign language and the need in language training and retraining for the modern professionals. The aim of the article is to identify the basic techniques and skills in using various modern techniques in the context of modern educational tasks. The…
Cooperative analysis expert situation assessment research
NASA Technical Reports Server (NTRS)
Mccown, Michael G.
1987-01-01
For the past few decades, Rome Air Development Center (RADC) has been conducting research in Artificial Intelligence (AI). When the recent advances in hardware technology made many AI techniques practical, the Intelligence and Reconnaissance Directorate of RADC initiated an applications program entitled Knowledge Based Intelligence Systems (KBIS). The goal of the program is the development of a generic Intelligent Analyst System, an open machine with the framework for intelligence analysis, natural language processing, and man-machine interface techniques, needing only the specific problem domain knowledge to be operationally useful. The development of KBIS is described.
Ahmed, Wamiq M; Lenz, Dominik; Liu, Jia; Paul Robinson, J; Ghafoor, Arif
2008-03-01
High-throughput biological imaging uses automated imaging devices to collect a large number of microscopic images for analysis of biological systems and validation of scientific hypotheses. Efficient manipulation of these datasets for knowledge discovery requires high-performance computational resources, efficient storage, and automated tools for extracting and sharing such knowledge among different research sites. Newly emerging grid technologies provide powerful means for exploiting the full potential of these imaging techniques. Efficient utilization of grid resources requires the development of knowledge-based tools and services that combine domain knowledge with analysis algorithms. In this paper, we first investigate how grid infrastructure can facilitate high-throughput biological imaging research, and present an architecture for providing knowledge-based grid services for this field. We identify two levels of knowledge-based services. The first level provides tools for extracting spatiotemporal knowledge from image sets and the second level provides high-level knowledge management and reasoning services. We then present cellular imaging markup language, an extensible markup language-based language for modeling of biological images and representation of spatiotemporal knowledge. This scheme can be used for spatiotemporal event composition, matching, and automated knowledge extraction and representation for large biological imaging datasets. We demonstrate the expressive power of this formalism by means of different examples and extensive experimental results.
Bootstrapping language acquisition.
Abend, Omri; Kwiatkowski, Tom; Smith, Nathaniel J; Goldwater, Sharon; Steedman, Mark
2017-07-01
The semantic bootstrapping hypothesis proposes that children acquire their native language through exposure to sentences of the language paired with structured representations of their meaning, whose component substructures can be associated with words and syntactic structures used to express these concepts. The child's task is then to learn a language-specific grammar and lexicon based on (probably contextually ambiguous, possibly somewhat noisy) pairs of sentences and their meaning representations (logical forms). Starting from these assumptions, we develop a Bayesian probabilistic account of semantically bootstrapped first-language acquisition in the child, based on techniques from computational parsing and interpretation of unrestricted text. Our learner jointly models (a) word learning: the mapping between components of the given sentential meaning and lexical words (or phrases) of the language, and (b) syntax learning: the projection of lexical elements onto sentences by universal construction-free syntactic rules. Using an incremental learning algorithm, we apply the model to a dataset of real syntactically complex child-directed utterances and (pseudo) logical forms, the latter including contextually plausible but irrelevant distractors. Taking the Eve section of the CHILDES corpus as input, the model simulates several well-documented phenomena from the developmental literature. In particular, the model exhibits syntactic bootstrapping effects (in which previously learned constructions facilitate the learning of novel words), sudden jumps in learning without explicit parameter setting, acceleration of word-learning (the "vocabulary spurt"), an initial bias favoring the learning of nouns over verbs, and one-shot learning of words and their meanings. The learner thus demonstrates how statistical learning over structured representations can provide a unified account for these seemingly disparate phenomena. Copyright © 2017 Elsevier B.V. All rights reserved.
A Priority Fuzzy Logic Extension of the XQuery Language
NASA Astrophysics Data System (ADS)
Škrbić, Srdjan; Wettayaprasit, Wiphada; Saeueng, Pannipa
2011-09-01
In recent years there have been significant research findings in flexible XML querying techniques using fuzzy set theory. Many types of fuzzy extensions to XML data model and XML query languages have been proposed. In this paper, we introduce priority fuzzy logic extensions to XQuery language. Describing these extensions we introduce a new query language. Moreover, we describe a way to implement an interpreter for this language using an existing XML native database.
ChemicalTagger: A tool for semantic text-mining in chemistry
2011-01-01
Background The primary method for scientific communication is in the form of published scientific articles and theses which use natural language combined with domain-specific terminology. As such, they contain free owing unstructured text. Given the usefulness of data extraction from unstructured literature, we aim to show how this can be achieved for the discipline of chemistry. The highly formulaic style of writing most chemists adopt make their contributions well suited to high-throughput Natural Language Processing (NLP) approaches. Results We have developed the ChemicalTagger parser as a medium-depth, phrase-based semantic NLP tool for the language of chemical experiments. Tagging is based on a modular architecture and uses a combination of OSCAR, domain-specific regex and English taggers to identify parts-of-speech. The ANTLR grammar is used to structure this into tree-based phrases. Using a metric that allows for overlapping annotations, we achieved machine-annotator agreements of 88.9% for phrase recognition and 91.9% for phrase-type identification (Action names). Conclusions It is possible parse to chemical experimental text using rule-based techniques in conjunction with a formal grammar parser. ChemicalTagger has been deployed for over 10,000 patents and has identified solvents from their linguistic context with >99.5% precision. PMID:21575201
ERIC Educational Resources Information Center
Alexopoulou, Theodora; Michel, Marije; Murakami, Akira; Meurers, Detmar
2017-01-01
Large-scale learner corpora collected from online language learning platforms, such as the EF-Cambridge Open Language Database (EFCAMDAT), provide opportunities to analyze learner data at an unprecedented scale. However, interpreting the learner language in such corpora requires a precise understanding of tasks: How does the prompt and input of a…
ERIC Educational Resources Information Center
Kaplan, Rochelle G.; Patino, Rodrigo A.
Although it takes only 2 years to attain conversational competence in a second language, it takes up to 7 years to realize sufficient language competence to achieve academically at the level of native speakers. Specific adaptations in instructional methods in mathematics for language minority students should include techniques from English as a…
Language Interference and Language Learning Techniques Transfer in L2 and L3 Immersion Programs.
ERIC Educational Resources Information Center
Aronin, Larissa; Toubkin, Lynne
2002-01-01
Examines the relationships between the first (L1), second (L2), and third (L3) language in immersion programs for Russian-speaking students in Israel. Two parallel and similar immersion programs, which were carried out for the same population, but with different target languages (L2 Hebrew and L3 English), are described. Presents tentative…
Teaching English to Young Learners Through Indonesian - Translated Songs
NASA Astrophysics Data System (ADS)
Sukirmiyadi
2018-01-01
As an international language, English is taught and learnt by almost all of the people in the world. In Indonesia for example, English has been introduced since the learners are studying at the elementary school. Even many of the Kindergarten Schools too, have already introduced this language to their students. However, we cannot deny that teaching foreign language is not such an easy thing due to the fact thatmany of the learners are not capable of speaking English very well although they have been learning it for more than ten years (Elementary: 6 years, Junior and Senior High School: 6 years). In line with this problem, this study aims at providing a solution by offering one teaching technique which seems to make the learners (especially young learners) enjoy learning through singing songs (Kasihani, 1999).Furthermore, Phillips(1995) said that young learners really enjoyed learning and singing songs with highly motivating. Based on those two researches andin efforts to make it easier in English language learning, especially to young learners, the writer translated the very common and popular Indonesian kid songs into English. Thesetranslated songswere then used to teach the students of Kindergarten up to Elementary ones of the first and second grade. This meant that before a teacher started to teach, s/he had to translate the Indonesian kid songsat first into English.Due to its popularity and familiarity, it was expected that this teaching technique would be more effective and efficient to apply especially to young learners.
Planning representation for automated exploratory data analysis
NASA Astrophysics Data System (ADS)
St. Amant, Robert; Cohen, Paul R.
1994-03-01
Igor is a knowledge-based system for exploratory statistical analysis of complex systems and environments. Igor has two related goals: to help automate the search for interesting patterns in data sets, and to help develop models that capture significant relationships in the data. We outline a language for Igor, based on techniques of opportunistic planning, which balances control and opportunism. We describe the application of Igor to the analysis of the behavior of Phoenix, an artificial intelligence planning system.
Formal Verification at System Level
NASA Astrophysics Data System (ADS)
Mazzini, S.; Puri, S.; Mari, F.; Melatti, I.; Tronci, E.
2009-05-01
System Level Analysis calls for a language comprehensible to experts with different background and yet precise enough to support meaningful analyses. SysML is emerging as an effective balance between such conflicting goals. In this paper we outline some the results obtained as for SysML based system level functional formal verification by an ESA/ESTEC study, with a collaboration among INTECS and La Sapienza University of Roma. The study focuses on SysML based system level functional requirements techniques.
Ambrose, Sophie E.; Eisenberg, Laurie S.
2009-01-01
The goal of this study was to longitudinally examine relationships between early factors (child and mother) that may influence children's phonological awareness and reading skills 3 years later in a group of young children with cochlear implants (N = 16). Mothers and children were videotaped during two storybook interactions, and children's oral language skills were assessed using the “Reynell Developmental Language Scales, third edition.” Three years later, phonological awareness, reading skills, and language skills were assessed using the “Phonological Awareness Test,” the “Woodcock–Johnson-III Diagnostic Reading Battery,” and the “Oral Written Language Scales.” Variables included in the data analyses were child (age, age at implant, and language skills) and mother factors (facilitative language techniques) and children's phonological awareness and reading standard scores. Results indicate that children's early expressive oral language skills and mothers’ use of a higher level facilitative language technique (open-ended question) during storybook reading, although related, each contributed uniquely to children's literacy skills. Individual analyses revealed that the children with expressive standard scores below 70 at Time 1 also performed below average (<85) on phonological awareness and total reading tasks 3 years later. Guidelines for professionals are provided to support literacy skills in young children with cochlear implants. PMID:18417463
Resting-State Functional Magnetic Resonance Imaging for Language Preoperative Planning
Branco, Paulo; Seixas, Daniela; Deprez, Sabine; Kovacs, Silvia; Peeters, Ronald; Castro, São L.; Sunaert, Stefan
2016-01-01
Functional magnetic resonance imaging (fMRI) is a well-known non-invasive technique for the study of brain function. One of its most common clinical applications is preoperative language mapping, essential for the preservation of function in neurosurgical patients. Typically, fMRI is used to track task-related activity, but poor task performance and movement artifacts can be critical limitations in clinical settings. Recent advances in resting-state protocols open new possibilities for pre-surgical mapping of language potentially overcoming these limitations. To test the feasibility of using resting-state fMRI instead of conventional active task-based protocols, we compared results from fifteen patients with brain lesions while performing a verb-to-noun generation task and while at rest. Task-activity was measured using a general linear model analysis and independent component analysis (ICA). Resting-state networks were extracted using ICA and further classified in two ways: manually by an expert and by using an automated template matching procedure. The results revealed that the automated classification procedure correctly identified language networks as compared to the expert manual classification. We found a good overlay between task-related activity and resting-state language maps, particularly within the language regions of interest. Furthermore, resting-state language maps were as sensitive as task-related maps, and had higher specificity. Our findings suggest that resting-state protocols may be suitable to map language networks in a quick and clinically efficient way. PMID:26869899
oRis: multiagents approach for image processing
NASA Astrophysics Data System (ADS)
Rodin, Vincent; Harrouet, Fabrice; Ballet, Pascal; Tisseau, Jacques
1998-09-01
In this article, we present a parallel image processing system based on the concept of reactive agents. This means that, in our system, each agent has a very simple behavior which allows it to take a decision (find out an edge, a region, ...) according to its position in the image and to the information enclosed in it. Our system lies in the oRis language, which allows to describe very finely and simply the agents' behaviors. In fact, oRis is an interpreted and dynamic multiagent language. First of all, oRis is an object language with the use of classes regrouping attributes and methods. The syntax is close to the C++ language and includes notions of multiple inheritance, oRis is also an agent language: every object with a method `main()' becomes an agent. This method is cyclically executed by the system scheduler and corresponds to the agent behavior. We also present an application made with oRis. This application allows to detect concentric striae located on different natural `objects' (age-rings of tree, fish otolith growth rings, striae of some minerals, ...). The stopping of the multiagent system is implemented through a technique issued from immunology: the apoptosis.
Universality in eye movements and reading: A trilingual investigation.
Liversedge, Simon P; Drieghe, Denis; Li, Xin; Yan, Guoli; Bai, Xuejun; Hyönä, Jukka
2016-02-01
Universality in language has been a core issue in the fields of linguistics and psycholinguistics for many years (e.g., Chomsky, 1965). Recently, Frost (2012) has argued that establishing universals of process is critical to the development of meaningful, theoretically motivated, cross-linguistic models of reading. In contrast, other researchers argue that there is no such thing as universals of reading (e.g., Coltheart & Crain, 2012). Reading is a complex, visually mediated psychological process, and eye movements are the behavioural means by which we encode the visual information required for linguistic processing. To investigate universality of representation and process across languages we examined eye movement behaviour during reading of very comparable stimuli in three languages, Chinese, English and Finnish. These languages differ in numerous respects (character based vs. alphabetic, visual density, informational density, word spacing, orthographic depth, agglutination, etc.). We used linear mixed modelling techniques to identify variables that captured common variance across languages. Despite fundamental visual and linguistic differences in the orthographies, statistical models of reading behaviour were strikingly similar in a number of respects, and thus, we argue that their composition might reflect universality of representation and process in reading. Copyright © 2015 Elsevier B.V. All rights reserved.
Research Methods in the Language Arts.
ERIC Educational Resources Information Center
National Conference on Research in English.
The articles comprising this bulletin report the status of research methods in the English language arts and indicate promising directions for further effort. Ralph C. Staiger discusses the range of language arts research and points out the strengths and weaknesses of various research techniques. Theodore Clymer examines the essential…
A "Language Lab" for Architectural Design.
ERIC Educational Resources Information Center
Mackenzie, Arch; And Others
This paper discusses a "language lab" strategy in which traditional studio learning may be supplemented by language lessons using computer graphics techniques to teach architectural grammar, a body of elements and principles that govern the design of buildings belonging to a particular architectural theory or style. Two methods of…
USING THE LANGUAGE LABORATORY.
ERIC Educational Resources Information Center
LADU, TORA TUVE
TO ENCOURAGE UTILIZATION OF THE LANGUAGE LABORATORY AS A TEACHING TECHNIQUE, THIS BULLETIN DESCRIBES SUCH POSSIBLE USES OF THE LABORATORY AS PROGRAMING LESSONS, RECORDING, AND TESTING LANGUAGE SKILL DEVELOPMENT. ONE OF THE MOST IMPORTANT FUNCTIONS OF THE LABORATORY IS THE PATTERN DRILL, DESCRIBED HERE FOR FRENCH, GERMAN, AND SPANISH. EXAMPLES ARE…
AdjScales: Visualizing Differences between Adjectives for Language Learners
NASA Astrophysics Data System (ADS)
Sheinman, Vera; Tokunaga, Takenobu
In this study we introduce AdjScales, a method for scaling similar adjectives by their strength. It combines existing Web-based computational linguistic techniques in order to automatically differentiate between similar adjectives that describe the same property by strength. Though this kind of information is rarely present in most of the lexical resources and dictionaries, it may be useful for language learners that try to distinguish between similar words. Additionally, learners might gain from a simple visualization of these differences using unidimensional scales. The method is evaluated by comparison with annotation on a subset of adjectives from WordNet by four native English speakers. It is also compared against two non-native speakers of English. The collected annotation is an interesting resource in its own right. This work is a first step toward automatic differentiation of meaning between similar words for language learners. AdjScales can be useful for lexical resource enhancement.
ERIC Educational Resources Information Center
Alamri, Bushra; Fawzi, Hala Hassan
2016-01-01
Error correction has been one of the core areas in the field of English language teaching. It is "seen as a form of feedback given to learners on their language use" (Amara, 2015). Many studies investigated the use of different techniques to correct students' oral errors. However, only a few focused on students' preferences and attitude…
ERIC Educational Resources Information Center
Pellas, Nikolaos; Boumpa, Anna
2017-01-01
This study seeks to investigate the effect of pre-service foreign language teachers' interactions on their continuing professional development (CPD), using a theoretical instructional design framework consisted of the three presence indicators of a Community of Inquiry (CoI) model and the Jigsaw teaching technique. The investigation was performed…
NASA Astrophysics Data System (ADS)
Galiatsatos, P. G.; Tennyson, J.
2012-11-01
The most time consuming step within the framework of the UK R-matrix molecular codes is that of the diagonalization of the inner region Hamiltonian matrix (IRHM). Here we present the method that we follow to speed up this step. We use shared memory machines (SMM), distributed memory machines (DMM), the OpenMP directive based parallel language, the MPI function based parallel language, the sparse matrix diagonalizers ARPACK and PARPACK, a variation for real symmetric matrices of the official coordinate sparse matrix format and finally a parallel sparse matrix-vector product (PSMV). The efficient application of the previous techniques rely on two important facts: the sparsity of the matrix is large enough (more than 98%) and in order to get back converged results we need a small only part of the matrix spectrum.
ERIC Educational Resources Information Center
Rajagopal, Lakshman
2012-01-01
Providing food safety training to an audience whose native language is not English is always a challenge. In the study reported here, minimal-text visuals in Spanish were used to train Hispanic foodservice workers about proper handwashing technique and glove use based on the 2005 Food Code requirements. Overall, results indicated that visuals…
ERIC Educational Resources Information Center
Alkhamra, Hatem A.; AlNatour, Mayada M.; Abu Dahab, Sana M. N.; AlAbdallat, Bassam M.
2012-01-01
This study aimed to explore writing problems among undergraduate students at the university level, based on students self reporting technique and the verification from their teachers' ratings. Twenty-eight students were considered good candidates for this research using two criteria of self reporting and high means of responses. Twenty-five…
Let Luke Skywalker and Cinderella Help You Teach the Preterite And Imperfect, Too!
ERIC Educational Resources Information Center
Brooks, Frank B.
Instructional materials for the preterite tense in Spanish are based on Robert Terry's technique of using familiar stories in the foreign language, written in the present tense, which students must place in the past by changing verb forms. The objective is to avoid the disadvantages of simply translating verb tenses and to allow the student to get…
ERIC Educational Resources Information Center
Qin, Jingjing
2008-01-01
This study was intended to compare processing instruction (VanPatten, 1993, 1996, 2000), an input-based focus on form technique, to dictogloss tasks, an output-oriented focus-on-form type of instruction to assess their effects in helping beginning-EFL (English as a Foreign Language) learners acquire the simple English passive voice. Two intact…
3D Mapping of Language Networks in Clinical and Pre-Clinical Alzheimer's Disease
ERIC Educational Resources Information Center
Apostolova, Liana G.; Lu, Po; Rogers, Steve; Dutton, Rebecca A.; Hayashi, Kiralee M.; Toga, Arthur W.; Cummings, Jeffrey L.; Thompson, Paul M.
2008-01-01
We investigated the associations between Boston naming and the animal fluency tests and cortical atrophy in 19 probable AD and 5 multiple domain amnestic mild cognitive impairment patients who later converted to AD. We applied a surface-based computational anatomy technique to MRI scans of the brain and then used linear regression models to detect…
Design of a Low-Cost Adaptive Question Answering System for Closed Domain Factoid Queries
ERIC Educational Resources Information Center
Toh, Huey Ling
2010-01-01
Closed domain question answering (QA) systems achieve precision and recall at the cost of complex language processing techniques to parse the answer corpus. We propose a "query-based" model for indexing answers in a closed domain factoid QA system. Further, we use a phrase term inference method for improving the ranking order of related questions.…
Semantic biomedical resource discovery: a Natural Language Processing framework.
Sfakianaki, Pepi; Koumakis, Lefteris; Sfakianakis, Stelios; Iatraki, Galatia; Zacharioudakis, Giorgos; Graf, Norbert; Marias, Kostas; Tsiknakis, Manolis
2015-09-30
A plethora of publicly available biomedical resources do currently exist and are constantly increasing at a fast rate. In parallel, specialized repositories are been developed, indexing numerous clinical and biomedical tools. The main drawback of such repositories is the difficulty in locating appropriate resources for a clinical or biomedical decision task, especially for non-Information Technology expert users. In parallel, although NLP research in the clinical domain has been active since the 1960s, progress in the development of NLP applications has been slow and lags behind progress in the general NLP domain. The aim of the present study is to investigate the use of semantics for biomedical resources annotation with domain specific ontologies and exploit Natural Language Processing methods in empowering the non-Information Technology expert users to efficiently search for biomedical resources using natural language. A Natural Language Processing engine which can "translate" free text into targeted queries, automatically transforming a clinical research question into a request description that contains only terms of ontologies, has been implemented. The implementation is based on information extraction techniques for text in natural language, guided by integrated ontologies. Furthermore, knowledge from robust text mining methods has been incorporated to map descriptions into suitable domain ontologies in order to ensure that the biomedical resources descriptions are domain oriented and enhance the accuracy of services discovery. The framework is freely available as a web application at ( http://calchas.ics.forth.gr/ ). For our experiments, a range of clinical questions were established based on descriptions of clinical trials from the ClinicalTrials.gov registry as well as recommendations from clinicians. Domain experts manually identified the available tools in a tools repository which are suitable for addressing the clinical questions at hand, either individually or as a set of tools forming a computational pipeline. The results were compared with those obtained from an automated discovery of candidate biomedical tools. For the evaluation of the results, precision and recall measurements were used. Our results indicate that the proposed framework has a high precision and low recall, implying that the system returns essentially more relevant results than irrelevant. There are adequate biomedical ontologies already available, sufficiency of existing NLP tools and quality of biomedical annotation systems for the implementation of a biomedical resources discovery framework, based on the semantic annotation of resources and the use on NLP techniques. The results of the present study demonstrate the clinical utility of the application of the proposed framework which aims to bridge the gap between clinical question in natural language and efficient dynamic biomedical resources discovery.
Foreign Language Circles of Knowledge.
ERIC Educational Resources Information Center
Schiffer, Deana
1981-01-01
Describes use of Circles of Knowledge designed to generate excitement about foreign language learning as technique for individualized instruction. Includes guidelines for using, organizing, and implementing this method. (BK)
Mouriño-García, Marcos A; Pérez-Rodríguez, Roberto; Anido-Rifón, Luis E
2017-10-26
The ability to efficiently review the existing literature is essential for the rapid progress of research. This paper describes a classifier of text documents, represented as vectors in spaces of Wikipedia concepts, and analyses its suitability for classification of Spanish biomedical documents when only English documents are available for training. We propose the cross-language concept matching (CLCM) technique, which relies on Wikipedia interlanguage links to convert concept vectors from the Spanish to the English space. The performance of the classifier is compared to several baselines: a classifier based on machine translation, a classifier that represents documents after performing Explicit Semantic Analysis (ESA), and a classifier that uses a domain-specific semantic annotator (MetaMap). The corpus used for the experiments (Cross-Language UVigoMED) was purpose-built for this study, and it is composed of 12,832 English and 2,184 Spanish MEDLINE abstracts. The performance of our approach is superior to any other state-of-the art classifier in the benchmark, with performance increases up to: 124% over classical machine translation, 332% over MetaMap, and 60 times over the classifier based on ESA. The results have statistical significance, showing p-values < 0.0001. Using knowledge mined from Wikipedia to represent documents as vectors in a space of Wikipedia concepts and translating vectors between language-specific concept spaces, a cross-language classifier can be built, and it performs better than several state-of-the-art classifiers.
Identification of threats using linguistics-based knowledge extraction.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Chew, Peter A.
One of the challenges increasingly facing intelligence analysts, along with professionals in many other fields, is the vast amount of data which needs to be reviewed and converted into meaningful information, and ultimately into rational, wise decisions by policy makers. The advent of the world wide web (WWW) has magnified this challenge. A key hypothesis which has guided us is that threats come from ideas (or ideology), and ideas are almost always put into writing before the threats materialize. While in the past the 'writing' might have taken the form of pamphlets or books, today's medium of choice is themore » WWW, precisely because it is a decentralized, flexible, and low-cost method of reaching a wide audience. However, a factor which complicates matters for the analyst is that material published on the WWW may be in any of a large number of languages. In 'Identification of Threats Using Linguistics-Based Knowledge Extraction', we have sought to use Latent Semantic Analysis (LSA) and other similar text analysis techniques to map documents from the WWW, in whatever language they were originally written, to a common language-independent vector-based representation. This then opens up a number of possibilities. First, similar documents can be found across language boundaries. Secondly, a set of documents in multiple languages can be visualized in a graphical representation. These alone offer potentially useful tools and capabilities to the intelligence analyst whose knowledge of foreign languages may be limited. Finally, we can test the over-arching hypothesis--that ideology, and more specifically ideology which represents a threat, can be detected solely from the words which express the ideology--by using the vector-based representation of documents to predict additional features (such as the ideology) within a framework based on supervised learning. In this report, we present the results of a three-year project of the same name. We believe these results clearly demonstrate the general feasibility of an approach such as that outlined above. Nevertheless, there are obstacles which must still be overcome, relating primarily to how 'ideology' should be defined. We discuss these and point to possible solutions.« less
ERIC Educational Resources Information Center
Öztürk, Basak Karakoç
2018-01-01
The preferred methods for the success of foreign language teaching and the reflection of these methods on the teaching process are very important. Since approaches and methods in language teaching enable the teacher to use different techniques in his/her lectures, they provide a more effective teaching process. The methodology in teaching the…
ERIC Educational Resources Information Center
Segal, Bertha E.
Materials from a teacher workshop on the Total Physical Response method for teaching English as a second language are presented. The technique describes the process of first language acquisition, uses physical activities in the classroom to reinforce learning, and allows a long period of receptive language learning before requiring production. The…
ERIC Educational Resources Information Center
Power, D. J., Ed.; Hollingshead, Anne, Ed.
The document presents findings and discussion from a 1981 Australian workshop on language curriculum development for hearing impaired students. The first 11 papers, unattributed, address the following issues regarding development of a language curriculum: content, principles, levels of language, techniques and materials, features of conversational…
The Use of Foreign Languages in the Private Sector of Industry and Commerce.
ERIC Educational Resources Information Center
Emmans, Keith; And Others
This is a pilot survey of foreign language use in British industry, carried out by the Language Teaching Centre at the University of York. It seeks to determine the demand for language skills in industry, but as a pilot survey it also seeks to test the effectiveness of the survey techniques used. Section 1 discusses the project's limitations,…
DOE Office of Scientific and Technical Information (OSTI.GOV)
Ahrens, J.P.; Shapiro, L.G.; Tanimoto, S.L.
1997-04-01
This paper describes a computing environment which supports computer-based scientific research work. Key features include support for automatic distributed scheduling and execution and computer-based scientific experimentation. A new flexible and extensible scheduling technique that is responsive to a user`s scheduling constraints, such as the ordering of program results and the specification of task assignments and processor utilization levels, is presented. An easy-to-use constraint language for specifying scheduling constraints, based on the relational database query language SQL, is described along with a search-based algorithm for fulfilling these constraints. A set of performance studies show that the environment can schedule and executemore » program graphs on a network of workstations as the user requests. A method for automatically generating computer-based scientific experiments is described. Experiments provide a concise method of specifying a large collection of parameterized program executions. The environment achieved significant speedups when executing experiments; for a large collection of scientific experiments an average speedup of 3.4 on an average of 5.5 scheduled processors was obtained.« less
Goodrich, J. Marc; Lonigan, Christopher J.; Farver, Jo Ann M.
2017-01-01
Spanish-speaking language-minority (LM) children are at an elevated risk of struggling academically and display signs of that risk during early childhood. Therefore, high-quality research is needed to identify instructional techniques that promote the school readiness of Spanish-speaking LM children. The primary purpose of this study was to evaluate the effectiveness of an intervention that utilized an experimental curriculum and two professional development models for the development of English and Spanish early literacy skills among LM children. We also evaluated whether LM children's proficiency in one language moderated the effect of the intervention on early literacy skills in the other language, as well as whether the intervention was differentially effective for LM and monolingual English-speaking children. Five hundred twenty-six Spanish-speaking LM children and 447 monolingual English-speaking children enrolled in 26 preschool centers in Los Angeles, CA participated in this study. Results indicated that the intervention was effective for improving LM children's code-related but not language-related English early literacy skills. There were no effects of the intervention on children's Spanish early literacy skills. Proficiency in Spanish did not moderate the effect of the intervention for any English early literacy outcomes; however, proficiency in English significantly moderated the effect of the intervention for Spanish oral language skills, such that the effect of the intervention was stronger for children with higher proficiency in English than it was for children with lower proficiency in English. In general, there were not differential effects of the intervention for LM and monolingual children. Taken together, these findings indicate that high-quality, evidence-based instruction can improve the early literacy skills of LM children and that the same instructional techniques are effective for enhancing the early literacy skills of LM and monolingual children. PMID:28970649
Analysis and Defense of Vulnerabilities in Binary Code
2008-09-29
language . We demonstrate our techniques by automatically generating input filters from vulnerable binary programs. vi Acknowledgments I thank my wife, family...21 2.2 The Vine Intermediate Language . . . . . . . . . . . . . . . . . . . . . . 21 ix 2.2.1 Normalized Memory...The Traditional Weakest Precondition Semantics . . . . . . . . . . . . . 44 3.2.1 The Guarded Command Language . . . . . . . . . . . . . . . . . 44
Hypermedia and Vocabulary Acquisition for Second Language
ERIC Educational Resources Information Center
Meli, Rocio
2009-01-01
The purpose of this study was to examine the impact of multimedia as a delivery tool for enhancing vocabulary in second-language classrooms. The mixed method design focused on specific techniques to help students acquire Spanish vocabulary and communication skills. The theoretical framework for this study consisted of second language theories…
Conversation Analysis in Computer-Assisted Language Learning
ERIC Educational Resources Information Center
González-Lloret, Marta
2015-01-01
The use of Conversation Analysis (CA) in the study of technology-mediated interactions is a recent methodological addition to qualitative research in the field of Computer-assisted Language Learning (CALL). The expansion of CA in Second Language Acquisition research, coupled with the need for qualitative techniques to explore how people interact…
Pragmatics and Language Learning. Monograph Series Volume 6.
ERIC Educational Resources Information Center
Bouton, Lawrence F., Ed.
The series of articles in this volume were selected from among those presented at the 8th Annual International Conference on Pragmatics and Language Learning in April 1994. Articles include: "The Right Tool for the Job: Techniques for Analysis of Natural Language Use" (Georgia M. Green); "Sinclair & Coulthard Revisited: Global-…
Linguistic Intervention Techniques for At-Risk English Language Learners
ERIC Educational Resources Information Center
Schneider, Elke; Evers, Tsila
2009-01-01
In U.S. public schools, the population of nonnative speakers of English who are at risk for failing language requirements is growing. This article presents multisensory structured language (MSL) teaching strategies to remediate these students' difficulties in reading, writing, and speaking English. These strategies are underscored by recent…
Information Gaps: The Missing Links to Learning.
ERIC Educational Resources Information Center
Adams, Carl R.
Communication takes place when a speaker conveys new information to the listener. In second language teaching, information gaps motivate students to use and learn the target language in order to obtain information. The resulting interactive language use may develop affective bonds among the students. A variety of classroom techniques are available…
Classroom Assistants for Foreign Language Pedagogy
ERIC Educational Resources Information Center
O'Brien, Trudy
2017-01-01
This paper describes how Applied Linguistics (AL) seminar students that are proficient in languages other than English intern as classroom assistants (CAs) in foreign language classrooms. The CAs gain useful insights from the seminar on theoretical and pedagogical approaches, methods and techniques in L2 pedagogy and then apply this knowledge…
Speech-Language Pathologists: Vital Listening and Spoken Language Professionals
ERIC Educational Resources Information Center
Houston, K. Todd; Perigoe, Christina B.
2010-01-01
Determining the most effective methods and techniques to facilitate the spoken language development of individuals with hearing loss has been a focus of practitioners for centuries. Due to modern advances in hearing technology, earlier identification of hearing loss, and immediate enrollment in early intervention, children with hearing loss are…
Suggestology as an Effective Language Learning Method.
ERIC Educational Resources Information Center
MaCoy, Katherine W.
The methods used and the results obtained by means of the accelerated language learning techniques developed by Georgi Lozanov, Director of the Institute of Suggestology in Bulgaria, are discussed. The following topics are included: (1) discussion of hypermnesia, "super memory," and the reasons foreign languages were chosen for purposes…
Young L2 Learners' Performance on a Novel Morpheme Task
ERIC Educational Resources Information Center
Kohnert, Kathryn; Danahy, Kerry
2007-01-01
The teaching of an invented language rule has been proposed as a possible non-biased, language-independent assessment technique useful in differentiating young L2 learners with specific language impairment from their typically developing peers. The current study explores these notions by testing typically developing sequential bilingual children's…
Applying the Flipped Classroom Model to English Language Arts Education
ERIC Educational Resources Information Center
Young, Carl A., Ed.; Moran, Clarice M., Ed.
2017-01-01
The flipped classroom method, particularly when used with digital video, has recently attracted many supporters within the education field. Now more than ever, language arts educators can benefit tremendously from incorporating flipped classroom techniques into their curriculum. "Applying the Flipped Classroom Model to English Language Arts…
Autonomous Learning--The Danes Vote Yes!
ERIC Educational Resources Information Center
Chambers, Gary; Sugden, David
1994-01-01
Examines techniques used by 2 Danish teachers of English as a Second Language with 11- and 12-year-olds that illustrate the autonomous learning approach to second language instruction. The role of the teacher and learners, class activities, and student journals in Danish second language classrooms are discussed. (six references) (MDM)
Sign Language and the Brain: A Review
ERIC Educational Resources Information Center
Campbell, Ruth; MacSweeney, Mairead; Waters, Dafydd
2008-01-01
How are signed languages processed by the brain? This review briefly outlines some basic principles of brain structure and function and the methodological principles and techniques that have been used to investigate this question. We then summarize a number of different studies exploring brain activity associated with sign language processing…
NASA Astrophysics Data System (ADS)
Forbes, Angus; Villegas, Javier; Almryde, Kyle R.; Plante, Elena
2014-03-01
In this paper, we present a novel application, 3D+Time Brain View, for the stereoscopic visualization of functional Magnetic Resonance Imaging (fMRI) data gathered from participants exposed to unfamiliar spoken languages. An analysis technique based on Independent Component Analysis (ICA) is used to identify statistically significant clusters of brain activity and their changes over time during different testing sessions. That is, our system illustrates the temporal evolution of participants' brain activity as they are introduced to a foreign language through displaying these clusters as they change over time. The raw fMRI data is presented as a stereoscopic pair in an immersive environment utilizing passive stereo rendering. The clusters are presented using a ray casting technique for volume rendering. Our system incorporates the temporal information and the results of the ICA into the stereoscopic 3D rendering, making it easier for domain experts to explore and analyze the data.
[Application of virtual instrumentation technique in toxicological studies].
Moczko, Jerzy A
2005-01-01
Research investigations require frequently direct connection of measuring equipment to the computer. Virtual instrumentation technique considerably facilitates programming of sophisticated acquisition-and-analysis procedures. In standard approach these two steps are performed subsequently with separate software tools. The acquired data are transfered with export / import procedures of particular program to the another one which executes next step of analysis. The described procedure is cumbersome, time consuming and may be potential source of the errors. In 1987 National Instruments Corporation introduced LabVIEW language based on the concept of graphical programming. Contrary to conventional textual languages it allows the researcher to concentrate on the resolved problem and omit all syntactical rules. Programs developed in LabVIEW are called as virtual instruments (VI) and are portable among different computer platforms as PCs, Macintoshes, Sun SPARCstations, Concurrent PowerMAX stations, HP PA/RISK workstations. This flexibility warrants that the programs prepared for one particular platform would be also appropriate to another one. In presented paper basic principles of connection of research equipment to computer systems were described.
NASA Technical Reports Server (NTRS)
Hall, David W.; Rogan, J. Edward
1989-01-01
A microcomputer-based integration of aircraft design disciplines has been applied theoretically to sailplane, microwave-powered aircraft, and High Altitude Long-Endurance (HALE) aircraft configurational definition efforts. Attention is presently given to the further development of such integrated-discipline approaches through the incorporation of AI techniques; these are then applied to the aforementioned case of the HALE. The windFrame language used, which is based on HyperTalk, will allow designers to write programs using a highly graphical, user interface-oriented environment.
NASA Technical Reports Server (NTRS)
Borchardt, G. C.
1994-01-01
The Simple Tool for Automated Reasoning program (STAR) is an interactive, interpreted programming language for the development and operation of artificial intelligence (AI) application systems. STAR provides an environment for integrating traditional AI symbolic processing with functions and data structures defined in compiled languages such as C, FORTRAN and PASCAL. This type of integration occurs in a number of AI applications including interpretation of numerical sensor data, construction of intelligent user interfaces to existing compiled software packages, and coupling AI techniques with numerical simulation techniques and control systems software. The STAR language was created as part of an AI project for the evaluation of imaging spectrometer data at NASA's Jet Propulsion Laboratory. Programming in STAR is similar to other symbolic processing languages such as LISP and CLIP. STAR includes seven primitive data types and associated operations for the manipulation of these structures. A semantic network is used to organize data in STAR, with capabilities for inheritance of values and generation of side effects. The AI knowledge base of STAR can be a simple repository of records or it can be a highly interdependent association of implicit and explicit components. The symbolic processing environment of STAR may be extended by linking the interpreter with functions defined in conventional compiled languages. These external routines interact with STAR through function calls in either direction, and through the exchange of references to data structures. The hybrid knowledge base may thus be accessed and processed in general by either side of the application. STAR is initially used to link externally compiled routines and data structures. It is then invoked to interpret the STAR rules and symbolic structures. In a typical interactive session, the user enters an expression to be evaluated, STAR parses the input, evaluates the expression, performs any file input/output required, and displays the results. The STAR interpreter is written in the C language for interactive execution. It has been implemented on a VAX 11/780 computer operating under VMS, and the UNIX version has been implemented on a Sun Microsystems 2/170 workstation. STAR has a memory requirement of approximately 200K of 8 bit bytes, excluding externally compiled functions and application-dependent symbolic definitions. This program was developed in 1985.
NASA Technical Reports Server (NTRS)
Borchardt, G. C.
1994-01-01
The Simple Tool for Automated Reasoning program (STAR) is an interactive, interpreted programming language for the development and operation of artificial intelligence (AI) application systems. STAR provides an environment for integrating traditional AI symbolic processing with functions and data structures defined in compiled languages such as C, FORTRAN and PASCAL. This type of integration occurs in a number of AI applications including interpretation of numerical sensor data, construction of intelligent user interfaces to existing compiled software packages, and coupling AI techniques with numerical simulation techniques and control systems software. The STAR language was created as part of an AI project for the evaluation of imaging spectrometer data at NASA's Jet Propulsion Laboratory. Programming in STAR is similar to other symbolic processing languages such as LISP and CLIP. STAR includes seven primitive data types and associated operations for the manipulation of these structures. A semantic network is used to organize data in STAR, with capabilities for inheritance of values and generation of side effects. The AI knowledge base of STAR can be a simple repository of records or it can be a highly interdependent association of implicit and explicit components. The symbolic processing environment of STAR may be extended by linking the interpreter with functions defined in conventional compiled languages. These external routines interact with STAR through function calls in either direction, and through the exchange of references to data structures. The hybrid knowledge base may thus be accessed and processed in general by either side of the application. STAR is initially used to link externally compiled routines and data structures. It is then invoked to interpret the STAR rules and symbolic structures. In a typical interactive session, the user enters an expression to be evaluated, STAR parses the input, evaluates the expression, performs any file input/output required, and displays the results. The STAR interpreter is written in the C language for interactive execution. It has been implemented on a VAX 11/780 computer operating under VMS, and the UNIX version has been implemented on a Sun Microsystems 2/170 workstation. STAR has a memory requirement of approximately 200K of 8 bit bytes, excluding externally compiled functions and application-dependent symbolic definitions. This program was developed in 1985.
ERIC Educational Resources Information Center
Feldhendler, Daniel
1983-01-01
Techniques of classroom role playing that promote student involvement and bring language to life are outlined and discussed, including principles of drama and communication, techniques of theatrical production, and group dynamics. Use is recommended in conventional introductory courses, advanced courses where communication is emphasized, and…
ERIC Educational Resources Information Center
Eyengho, Toju; Fawole, Oyebisi
2013-01-01
The study assessed error-correction techniques used in correcting students' essays in English language and also determined the effects of these strategies and other related variables on students' performance in essay writing with a view to improving students' writing skill in English language in South Western Nigeria. A quasi-experimental design…
Transcranial direct current stimulation (tDCS) and language
Monti, Alessia; Ferrucci, Roberta; Fumagalli, Manuela; Mameli, Francesca; Cogiamanian, Filippo; Ardolino, Gianluca; Priori, Alberto
2013-01-01
Transcranial direct current stimulation (tDCS), a non-invasive neuromodulation technique inducing prolonged brain excitability changes and promoting cerebral plasticity, is a promising option for neurorehabilitation. Here, we review progress in research on tDCS and language functions and on the potential role of tDCS in the treatment of post-stroke aphasia. Currently available data suggest that tDCS over language-related brain areas can modulate linguistic abilities in healthy individuals and can improve language performance in patients with aphasia. Whether the results obtained in experimental conditions are functionally important for the quality of life of patients and their caregivers remains unclear. Despite the fact that important variables are yet to be determined, tDCS combined with rehabilitation techniques seems a promising therapeutic option for aphasia. PMID:23138766
Cognitive biases, linguistic universals, and constraint-based grammar learning.
Culbertson, Jennifer; Smolensky, Paul; Wilson, Colin
2013-07-01
According to classical arguments, language learning is both facilitated and constrained by cognitive biases. These biases are reflected in linguistic typology-the distribution of linguistic patterns across the world's languages-and can be probed with artificial grammar experiments on child and adult learners. Beginning with a widely successful approach to typology (Optimality Theory), and adapting techniques from computational approaches to statistical learning, we develop a Bayesian model of cognitive biases and show that it accounts for the detailed pattern of results of artificial grammar experiments on noun-phrase word order (Culbertson, Smolensky, & Legendre, 2012). Our proposal has several novel properties that distinguish it from prior work in the domains of linguistic theory, computational cognitive science, and machine learning. This study illustrates how ideas from these domains can be synthesized into a model of language learning in which biases range in strength from hard (absolute) to soft (statistical), and in which language-specific and domain-general biases combine to account for data from the macro-level scale of typological distribution to the micro-level scale of learning by individuals. Copyright © 2013 Cognitive Science Society, Inc.
Sollmann, Nico; Ille, Sebastian; Boeckh-Behrens, Tobias; Ringel, Florian; Meyer, Bernhard; Krieg, Sandro M
2016-07-01
Functional magnetic resonance imaging (fMRI) is considered to be the standard method regarding non-invasive language mapping. However, repetitive navigated transcranial magnetic stimulation (rTMS) gains increasing importance with respect to that purpose. However, comparisons between both methods are sparse. We performed fMRI and rTMS language mapping of the left hemisphere in 40 healthy, right-handed subjects in combination with the tasks that are most commonly used in the neurosurgical context (fMRI: word-generation = WGEN task; rTMS: object-naming = ON task). Different rTMS error rate thresholds (ERTs) were calculated, and Cohen's kappa coefficient and the cortical parcellation system (CPS) were used for systematic comparison of the two techniques. Overall, mean kappa coefficients were low, revealing no distinct agreement. We found the highest agreement for both techniques when using the 2-out-of-3 rule (CPS region defined as language positive in terms of rTMS if at least 2 out of 3 stimulations led to a naming error). However, kappa for this threshold was only 0.24 (kappa of <0, 0.01-0.20, 0.21-0.40, 0.41-0.60, 0.61-0.80 and 0.81-0.99 indicate less than chance, slight, fair, moderate, substantial and almost perfect agreement, respectively). Because of the inherent differences in the underlying physiology of fMRI and rTMS, the different tasks used and the impossibility of verifying the results via direct cortical stimulation (DCS) in the population of healthy volunteers, one must exercise caution in drawing conclusions about the relative usefulness of each technique for language mapping. Nevertheless, this study yields valuable insights into these two mapping techniques for the most common language tasks currently used in neurosurgical practice.
ERIC Educational Resources Information Center
Singleton, Pat; Dhanavel, P.; Lwin, Phyu Phyu; Yoel, Judith
2002-01-01
Techniques for teaching in the English-as-a-Second/Foreign-Language classroom are included. They focus on planning a conversation class, teaching writing, a lesson plan based on a multiliteracy text, and how a pile of pictures can be used in different ways. (Author/VWL)
Knowledge-based simulation for aerospace systems
NASA Technical Reports Server (NTRS)
Will, Ralph W.; Sliwa, Nancy E.; Harrison, F. Wallace, Jr.
1988-01-01
Knowledge-based techniques, which offer many features that are desirable in the simulation and development of aerospace vehicle operations, exhibit many similarities to traditional simulation packages. The eventual solution of these systems' current symbolic processing/numeric processing interface problem will lead to continuous and discrete-event simulation capabilities in a single language, such as TS-PROLOG. Qualitative, totally-symbolic simulation methods are noted to possess several intrinsic characteristics that are especially revelatory of the system being simulated, and capable of insuring that all possible behaviors are considered.
ERIC Educational Resources Information Center
Walton, Katherine M.; Ingersoll, Brooke R.
2015-01-01
Adult responsiveness is related to language development both in young typically developing children and in children with autism spectrum disorders, such that parents who use more responsive language with their children have children who develop better language skills over time. This study used a micro-analytic technique to examine how two facets…
Research into language concepts for the mission control center
NASA Technical Reports Server (NTRS)
Dellenback, Steven W.; Barton, Timothy J.; Ratner, Jeremiah M.
1990-01-01
A final report is given on research into language concepts for the Mission Control Center (MCC). The Specification Driven Language research is described. The state of the image processing field and how image processing techniques could be applied toward automating the generation of the language known as COmputation Development Environment (CODE or Comp Builder) are discussed. Also described is the development of a flight certified compiler for Comps.
Scala Roles: Reusable Object Collaborations in a Library
NASA Astrophysics Data System (ADS)
Pradel, Michael; Odersky, Martin
Purely class-based implementations of object-oriented software are often inappropriate for reuse. In contrast, the notion of objects playing roles in a collaboration has been proven to be a valuable reuse abstraction. However, existing solutions to enable role-based programming tend to require vast extensions of the underlying programming language, and thus, are difficult to use in every day work. We present a programming technique, based on dynamic proxies, that allows to augment an object’s type at runtime while preserving strong static type safety. It enables role-based implementations that lead to more reuse and better separation of concerns.
The Pep Talk: How to Analyze Political Language.
ERIC Educational Resources Information Center
Rank, Hugh
Recognizing the proliferation of persuasive language in advertising and in politics, this guide explains how to analyze political language for its persuasive techniques and why it is important to do so. The first chapter of the book provides a rationale for analyzing persuasion, and an overview of the book. The remaining chapters explore various…
The Measurement of Cross-Language Communication.
ERIC Educational Resources Information Center
Ladefoged, Peter; And Others
Of the approximately 40 languages in Uganda, some are very similar to one another and may be to some extent mutually intelligible. Because no one knows how to measure degrees of mutual intelligibility, the authors are attempting to establish reliable techniques which would be not only of practical value for the study of language problems in…
Assessing Language Dominance with Functional MRI: The Role of Control Tasks and Statistical Analysis
ERIC Educational Resources Information Center
Dodoo-Schittko, Frank; Rosengarth, Katharina; Doenitz, Christian; Greenlee, Mark W.
2012-01-01
There is a discrepancy between the brain regions revealed by functional neuroimaging techniques and those brain regions where a loss of function, either by lesion or by electrocortical stimulation, induces language disorders. To differentiate between essential and non-essential language-related processes, we investigated the effects of linguistic…
Pensamientos Sobre (Thoughts on) Teaching English as a Second Language.
ERIC Educational Resources Information Center
Ulibarri, Mari-Luci
This document presents ideas on various topics in teaching English as a second language. Some of the problems of English orthography and semantics are illustrated. The role of contrastive analysis is mentioned with Spanish-English illustrations. A list of second-language-acquisition principles and techniques is provided, and suggestions for…
English Language Teachers' Ideology of ELT Assessment Literacy
ERIC Educational Resources Information Center
Hakim, Badia
2015-01-01
Deep understanding, clear perception and accurate use of assessment methodology play an integral role in the success of a language program. Use of various assessment techniques to evaluate and improve the performance of learners has been the focal point of interest in the field of English Language Teaching (ELT). Equally researchers are interested…
Kinesthetic Language Learning: How an Accident Led to a Revelation
ERIC Educational Resources Information Center
West, Travis; Nam, Roger S.; Benckhuysen, Amanda W.
2016-01-01
This essay analyzes a critical incident that took place in a hybrid distance-learning Hebrew language class that was adapting interactive, immersion-style, kinesthetic pedagogy during the week-long face-to-face intensive portion of the class--including Total Physical Response techniques in which students respond to the language with whole-body…
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…
ERIC Educational Resources Information Center
Faryadi, Qais
2007-01-01
This analysis discusses the constructivist paradigm of teaching Arabic as a foreign language in Malaysian settings. This review examines the role of interactive multimedia in enhancing the chalk and talk methods of teaching Arabic in Malaysian schools. This paper also investigates the importance of Arabic Language in Malaysia. Furthermore, the…
Application of Associative Experiment in Forming the Foreign Communicative Competence
ERIC Educational Resources Information Center
Mukhametzyanova, Leilya; Shayakhmetova, Leysan
2014-01-01
The article focuses on some problems in teaching foreign languages, solution of which is successfully achieved through the method of free associations. The article also concerns the functioning of associative experiment in the course of teaching of foreign languages. In a technique of teaching of foreign languages free associative experiment is…
Narrative and the Origins of Discourse: Patterns of Discourse in Stories around the World
ERIC Educational Resources Information Center
Rose, David
2005-01-01
This paper summarises findings of discourse analyses of traditional stories from eleven language phyla around the world. The aim is a preliminary exploration of relationships amongst diverse languages in patterns of discourse, using a systemic functional language model. Several techniques were developed for managing and displaying the analyses,…
ERIC Educational Resources Information Center
Conroy, Paula
1999-01-01
Describes Total Physical Response, a teaching technique that teachers of English-as-a-Second-Language (ESL) use to instruct students who are in the process of learning a second language and modifications that can be made to the program to teach students with visual impairments. (CR)
ERIC Educational Resources Information Center
Weehawken Board of Education, NJ.
This document is a teachers' resource manual, grades Kindergarten through Twelve, for the promotion of students' facility in written composition in the context of a language-experience approach and through the use of diagnostic-prescriptive techniques derived from modern linguistic theory. The "Individualized Language Arts: Diagnosis,…
Chinese Language and Culture Curriculum: Teacher's Manual [and] Student Activity Book.
ERIC Educational Resources Information Center
Soh, Yong-Kian; And Others
This curriculum is designed to introduce Chinese language and culture in the elementary grades, and consists of a teacher's manual and student activity book. The teacher's guide consists of an introductory section, which outlines the rationale, objectives, suggested teaching techniques and materials, and language and culture content of the…
Improving Comprehension and Assessment of English Language Learners Using MMIO
ERIC Educational Resources Information Center
Carrier, Karen A.
2006-01-01
Many mainstream content teachers are encountering, for the first time, K-12 students who are in the process of learning English as a second language (English language learners or ELLs), and this new population presents a significant challenge. Teachers are already familiar with many of the techniques available to help their ELLs comprehend…
ERIC Educational Resources Information Center
Ringer, R. Jeffrey
A study examined differences in the language of direct mail advertising used by political campaigns at different levels--national state, and local. Seventeen direct mail fund-raising political campaign letters were content analyzed with Wiseman and Schenck-Hamlin's typology of compliance-gaining techniques, language style and readability. The…
ERIC Educational Resources Information Center
Chalhoub-Deville, Micheline
This study investigated whether different groups of native speakers assess second language learners' language skills differently for three elicitation techniques. Subjects were six learners of college-level Arabic as a second language, tape-recorded performing three tasks: participating in a modified oral proficiency interview, narrating a picture…
Soltanlou, Mojtaba; Sitnikova, Maria A; Nuerk, Hans-Christoph; Dresler, Thomas
2018-01-01
In this review, we aim to highlight the application of functional near-infrared spectroscopy (fNIRS) as a useful neuroimaging technique for the investigation of cognitive development. We focus on brain activation changes during the development of mathematics and language skills in schoolchildren. We discuss how technical limitations of common neuroimaging techniques such as functional magnetic resonance imaging (fMRI) have resulted in our limited understanding of neural changes during development, while fNIRS would be a suitable and child-friendly method to examine cognitive development. Moreover, this technique enables us to go to schools to collect large samples of data from children in ecologically valid settings. Furthermore, we report findings of fNIRS studies in the fields of mathematics and language, followed by a discussion of the outlook of fNIRS in these fields. We suggest fNIRS as an additional technique to track brain activation changes in the field of educational neuroscience.
Soltanlou, Mojtaba; Sitnikova, Maria A.; Nuerk, Hans-Christoph; Dresler, Thomas
2018-01-01
In this review, we aim to highlight the application of functional near-infrared spectroscopy (fNIRS) as a useful neuroimaging technique for the investigation of cognitive development. We focus on brain activation changes during the development of mathematics and language skills in schoolchildren. We discuss how technical limitations of common neuroimaging techniques such as functional magnetic resonance imaging (fMRI) have resulted in our limited understanding of neural changes during development, while fNIRS would be a suitable and child-friendly method to examine cognitive development. Moreover, this technique enables us to go to schools to collect large samples of data from children in ecologically valid settings. Furthermore, we report findings of fNIRS studies in the fields of mathematics and language, followed by a discussion of the outlook of fNIRS in these fields. We suggest fNIRS as an additional technique to track brain activation changes in the field of educational neuroscience. PMID:29666589
On verifying a high-level design. [cost and error analysis
NASA Technical Reports Server (NTRS)
Mathew, Ben; Wehbeh, Jalal A.; Saab, Daniel G.
1993-01-01
An overview of design verification techniques is presented, and some of the current research in high-level design verification is described. Formal hardware description languages that are capable of adequately expressing the design specifications have been developed, but some time will be required before they can have the expressive power needed to be used in real applications. Simulation-based approaches are more useful in finding errors in designs than they are in proving the correctness of a certain design. Hybrid approaches that combine simulation with other formal design verification techniques are argued to be the most promising over the short term.
Portable parallel portfolio optimization in the Aurora Financial Management System
NASA Astrophysics Data System (ADS)
Laure, Erwin; Moritsch, Hans
2001-07-01
Financial planning problems are formulated as large scale, stochastic, multiperiod, tree structured optimization problems. An efficient technique for solving this kind of problems is the nested Benders decomposition method. In this paper we present a parallel, portable, asynchronous implementation of this technique. To achieve our portability goals we elected the programming language Java for our implementation and used a high level Java based framework, called OpusJava, for expressing the parallelism potential as well as synchronization constraints. Our implementation is embedded within a modular decision support tool for portfolio and asset liability management, the Aurora Financial Management System.
Operator Performance Measures for Assessing Voice Communication Effectiveness
1989-07-01
performance and work- load assessment techniques have been based.I Broadbent (1958) described a limited capacity filter model of human information...INFORMATION PROCESSING 20 3.1.1. Auditory Attention 20 3.1.2. Auditory Memory 24 3.2. MODELS OF INFORMATION PROCESSING 24 3.2.1. Capacity Theories 25...Learning 0 Attention * Language Specialization • Decision Making• Problem Solving Auditory Information Processing Models of Processing Ooemtor
ERIC Educational Resources Information Center
Calp, Mehrali
2015-01-01
Writing exercises are more effective than grammar rules in terms of making children acquire language skills. Knowing the characteristics of text genres and the rules of writing are not enough to improve writing skills of teacher candidates and to acquire necessary strategies for teaching how to write. Teachers would be uncertain about assessment…
Implementing a Domain Specific Language to configure and run LHCb Continuous Integration builds
NASA Astrophysics Data System (ADS)
Clemencic, M.; Couturier, B.
2015-12-01
The new LHCb nightly build system described at CHEP 2013 was limited by the use of JSON files for its configuration. JSON had been chosen as a temporary solution to maintain backward compatibility towards the old XML format by means of a translation function. Modern languages like Python leverage on meta-programming techniques to enable the development of Domain Specific Languages (DSLs). In this contribution we will present the advantages of such techniques and how they have been used to implement a DSL that can be used to both describe the configuration of the LHCb Nightly Builds and actually operate them.
A survey of functional programming language principles
NASA Technical Reports Server (NTRS)
Holloway, C. M.
1986-01-01
Research in the area of functional programming languages has intensified in the 8 years since John Backus' Turing Award Lecture on the topic was published. The purpose of this paper is to present a survey of the ideas of functional programming languages. The paper assumes the reader is comfortable with mathematics and has knowledge of the basic principles of traditional programming languages, but does not assume any prior knowledge of the ideas of functional languages. A simple functional language is defined and used to illustrate the basic ideas. Topics discussed include the reasons for developing functional languages, methods of expressing concurrency, the algebra of functional programming languages, program transformation techniques, and implementations of functional languages. Existing functional languages are also mentioned. The paper concludes with the author's opinions as to the future of functional languages. An annotated bibliography on the subject is also included.
Intelligent search in Big Data
NASA Astrophysics Data System (ADS)
Birialtsev, E.; Bukharaev, N.; Gusenkov, A.
2017-10-01
An approach to data integration, aimed on the ontology-based intelligent search in Big Data, is considered in the case when information objects are represented in the form of relational databases (RDB), structurally marked by their schemes. The source of information for constructing an ontology and, later on, the organization of the search are texts in natural language, treated as semi-structured data. For the RDBs, these are comments on the names of tables and their attributes. Formal definition of RDBs integration model in terms of ontologies is given. Within framework of the model universal RDB representation ontology, oil production subject domain ontology and linguistic thesaurus of subject domain language are built. Technique of automatic SQL queries generation for subject domain specialists is proposed. On the base of it, information system for TATNEFT oil-producing company RDBs was implemented. Exploitation of the system showed good relevance with majority of queries.
Vietnamese Document Representation and Classification
NASA Astrophysics Data System (ADS)
Nguyen, Giang-Son; Gao, Xiaoying; Andreae, Peter
Vietnamese is very different from English and little research has been done on Vietnamese document classification, or indeed, on any kind of Vietnamese language processing, and only a few small corpora are available for research. We created a large Vietnamese text corpus with about 18000 documents, and manually classified them based on different criteria such as topics and styles, giving several classification tasks of different difficulty levels. This paper introduces a new syllable-based document representation at the morphological level of the language for efficient classification. We tested the representation on our corpus with different classification tasks using six classification algorithms and two feature selection techniques. Our experiments show that the new representation is effective for Vietnamese categorization, and suggest that best performance can be achieved using syllable-pair document representation, an SVM with a polynomial kernel as the learning algorithm, and using Information gain and an external dictionary for feature selection.
A multilingual gold-standard corpus for biomedical concept recognition: the Mantra GSC
Clematide, Simon; Akhondi, Saber A; van Mulligen, Erik M; Rebholz-Schuhmann, Dietrich
2015-01-01
Objective To create a multilingual gold-standard corpus for biomedical concept recognition. Materials and methods We selected text units from different parallel corpora (Medline abstract titles, drug labels, biomedical patent claims) in English, French, German, Spanish, and Dutch. Three annotators per language independently annotated the biomedical concepts, based on a subset of the Unified Medical Language System and covering a wide range of semantic groups. To reduce the annotation workload, automatically generated preannotations were provided. Individual annotations were automatically harmonized and then adjudicated, and cross-language consistency checks were carried out to arrive at the final annotations. Results The number of final annotations was 5530. Inter-annotator agreement scores indicate good agreement (median F-score 0.79), and are similar to those between individual annotators and the gold standard. The automatically generated harmonized annotation set for each language performed equally well as the best annotator for that language. Discussion The use of automatic preannotations, harmonized annotations, and parallel corpora helped to keep the manual annotation efforts manageable. The inter-annotator agreement scores provide a reference standard for gauging the performance of automatic annotation techniques. Conclusion To our knowledge, this is the first gold-standard corpus for biomedical concept recognition in languages other than English. Other distinguishing features are the wide variety of semantic groups that are being covered, and the diversity of text genres that were annotated. PMID:25948699
MPI, HPF or OpenMP: A Study with the NAS Benchmarks
NASA Technical Reports Server (NTRS)
Jin, Hao-Qiang; Frumkin, Michael; Hribar, Michelle; Waheed, Abdul; Yan, Jerry; Saini, Subhash (Technical Monitor)
1999-01-01
Porting applications to new high performance parallel and distributed platforms is a challenging task. Writing parallel code by hand is time consuming and costly, but the task can be simplified by high level languages and would even better be automated by parallelizing tools and compilers. The definition of HPF (High Performance Fortran, based on data parallel model) and OpenMP (based on shared memory parallel model) standards has offered great opportunity in this respect. Both provide simple and clear interfaces to language like FORTRAN and simplify many tedious tasks encountered in writing message passing programs. In our study we implemented the parallel versions of the NAS Benchmarks with HPF and OpenMP directives. Comparison of their performance with the MPI implementation and pros and cons of different approaches will be discussed along with experience of using computer-aided tools to help parallelize these benchmarks. Based on the study,potentials of applying some of the techniques to realistic aerospace applications will be presented
MPI, HPF or OpenMP: A Study with the NAS Benchmarks
NASA Technical Reports Server (NTRS)
Jin, H.; Frumkin, M.; Hribar, M.; Waheed, A.; Yan, J.; Saini, Subhash (Technical Monitor)
1999-01-01
Porting applications to new high performance parallel and distributed platforms is a challenging task. Writing parallel code by hand is time consuming and costly, but this task can be simplified by high level languages and would even better be automated by parallelizing tools and compilers. The definition of HPF (High Performance Fortran, based on data parallel model) and OpenMP (based on shared memory parallel model) standards has offered great opportunity in this respect. Both provide simple and clear interfaces to language like FORTRAN and simplify many tedious tasks encountered in writing message passing programs. In our study, we implemented the parallel versions of the NAS Benchmarks with HPF and OpenMP directives. Comparison of their performance with the MPI implementation and pros and cons of different approaches will be discussed along with experience of using computer-aided tools to help parallelize these benchmarks. Based on the study, potentials of applying some of the techniques to realistic aerospace applications will be presented.
NASA Technical Reports Server (NTRS)
Rushby, John; Crow, Judith
1990-01-01
The authors explore issues in the specification, verification, and validation of artificial intelligence (AI) based software, using a prototype fault detection, isolation and recovery (FDIR) system for the Manned Maneuvering Unit (MMU). They use this system as a vehicle for exploring issues in the semantics of C-Language Integrated Production System (CLIPS)-style rule-based languages, the verification of properties relating to safety and reliability, and the static and dynamic analysis of knowledge based systems. This analysis reveals errors and shortcomings in the MMU FDIR system and raises a number of issues concerning software engineering in CLIPs. The authors came to realize that the MMU FDIR system does not conform to conventional definitions of AI software, despite the fact that it was intended and indeed presented as an AI system. The authors discuss this apparent disparity and related questions such as the role of AI techniques in space and aircraft operations and the suitability of CLIPS for critical applications.
D'haeseleer, Evelien; Vanden Meerschaut, Frauke; Bettens, Kim; Luyten, Anke; Gysels, Hannelore; Thienpont, Ylenia; De Witte, Griet; Heindryckx, Björn; Oostra, Ann; Roeyers, Herbert; Sutter, Petra De; van Lierde, Kristiane
2014-11-01
The effect of assisted reproduction technology (ART) on language development is still unclear. Moreover, different techniques are introduced at rapid pace and are not always accompanied by extensive follow-up programmes. To investigate the language development of 3-10-year-old children born following ART using intracytoplasmic sperm injection (ICSI) combined with assisted oocyte activation (AOA), which is a highly specialized technique applied in cases with a history of fertilization failure following conventional ICSI. Secondly, a comparison is made between the language development of singletons and twins. Twenty children, six boys and 14 girls, born following ICSI combined with AOA and older than 3 years were included in the study. The mean age of the children was 5;4 years (range = 3;1-10;4 years; SD = 1;8 years). Expressive and receptive language development were assessed using the Clinical Evaluation of Language Fundamentals (CELF-IV-NL) for children older than 5 years and the Reynell Developmental Language Scales (RTOS) for children younger than or equal to 5 years. The mean total score for language ability (in percentiles) was 56.8 (SD = 33.6), which corresponds to normal language skills. Significantly higher scores were found for AOA singletons compared with twins. For the general language, none of the children scored within the clinical zone for language disability corresponding with a percentile lower than 5. This study presents the first data concerning language outcome in 3-10-year-old children born following AOA. General language scores of the AOA children in this study are located within the normal ranges. The language development of singletons was significantly better compared with twins. Although the results are reassuring for language development, in future long-term follow-up studies in this population are necessary. © 2014 Royal College of Speech and Language Therapists.
Language Mapping Using fMRI and Direct Cortical Stimulation for Brain Tumor Surgery
Brennan, Nicole Petrovich; Peck, Kyung K.; Holodny, Andrei
2016-01-01
Language functional magnetic resonance imaging for neurosurgical planning is a useful but nuanced technique. Consideration of primary and secondary language anatomy, task selection, and data analysis choices all impact interpretation. In the following chapter, we consider practical considerations and nuances alike for language functional magnetic resonance imaging in the support of and comparison with the neurosurgical gold standard, direct cortical stimulation. Pitfalls and limitations are discussed. PMID:26848555
Chininthorn, Prangnat; Glaser, Meryl; Tucker, William David; Diehl, Jan Carel
2016-11-11
Many cultural and linguistic Deaf people in South Africa face disparity when accessing health information because of social and language barriers. The number of certified South African Sign Language interpreters (SASLIs) is also insufficient to meet the demand of the Deaf population in the country. Our research team, in collaboration with the Deaf communities in Cape Town, devised a mobile health app called SignSupport to bridge the communication gaps in health care contexts. We consequently plan to extend our work with a Health Knowledge Transfer System (HKTS) to provide Deaf people with accessible, understandable, and accurate health information. We conducted an explorative study to prepare the groundwork for the design and development of the system. To investigate the current modes of health information distributed to Deaf people in Cape Town, identify the health information sources Deaf people prefer and their reasons, and define effective techniques for delivering understandable information to generate the groundwork for the mobile health app development with and for Deaf people. A qualitative methodology using semistructured interviews with sensitizing tools was used in a community-based codesign setting. A total of 23 Deaf people and 10 health professionals participated in this study. Inductive and deductive coding was used for the analysis. Deaf people currently have access to 4 modes of health information distribution through: Deaf and other relevant organizations, hearing health professionals, personal interactions, and the mass media. Their preferred and accessible sources are those delivering information in signed language and with communication techniques that match Deaf people's communication needs. Accessible and accurate health information can be delivered to Deaf people by 3 effective techniques: using signed language including its dialects, through health drama with its combined techniques, and accompanying the information with pictures in combination with simple text descriptions. We can apply the knowledge gained from this exploration to build the groundwork of the mobile health information system. We see an opportunity to design an HKTS to assist the information delivery during the patient-health professional interactions in primary health care settings. Deaf people want to understand the information relevant to their diagnosed disease and its self-management. The 3 identified effective techniques will be applied to deliver health information through the mobile health app. ©Prangnat Chininthorn, Meryl Glaser, William David Tucker, Jan Carel Diehl. Originally published in JMIR Human Factors (http://humanfactors.jmir.org), 11.11.2016.
Put a Short-Wave Radio in Your Foreign Language Classroom
ERIC Educational Resources Information Center
Oksenholt, Svein
1977-01-01
Advantages of the short-wave radio as a supplement to foreign language instruction as well as practical hints on wavelength, antenna, and techniques for use are provided. Selective annotated bibliography. (STS)
Tan, Xiaoping; Guo, Yang; Dun, Saihong; Sun, Hongzan
2018-05-18
Crossed aphasia (CA), usually referred to as an acquired language disturbance, is caused by a lesion in the cerebral hemisphere ipsilateral to the dominant hand, and the exact mechanism is not clear. The development of handedness is influenced by education and training and the impact of habitualization, while language is more susceptible to the impact of speech habits, and it is not absolutely accurate to judge cerebral language dominance by the degree of hand preference. We describe a case of CA after right hemispheric stroke in a right-handed patient with atypical language dominance and attempt to analyze the mechanism of CA based on functional imaging methods, including arterial spin labeling (ASL) and positron emission tomography/magnetic resonance imaging (PET-MRI). Brain MRI at 24 h after admission showed a large cerebral infarction in the right cerebral hemisphere, including the posteroinferior part of Broca's area in the right frontal lobe, the right temporal lobe, and the right occipital lobe. The patient exhibited a non-fluent aphasia on a standard language test (the Aphasia Battery of Chinese [ABC]) performed on the 7th day after onset. Thus, atypical language dominance was suspected. One week after admission, ASL imaging showed high perfusion in the infarct core zone and low perfusion in the left cerebellar hemisphere. Two months later, PET/MRI demonstrated low metabolism in the posterior frontal lobe, temporal lobe, temporal occipital junction area, and the right basal ganglia. The findings suggest that the patient has right-sided cerebral language dominance, or that both hemispheres have linguistic functions. Not all patients show linguistic capabilities on the side opposite hand preference. The language dominance should be predicted by a combination of clinical manifestations and functional imaging techniques.
A Surface-based Analysis of Language Lateralization and Cortical Asymmetry
Greve, Douglas N.; Van der Haegen, Lise; Cai, Qing; Stufflebeam, Steven; Sabuncu, Mert R.; Fischl, Bruce; Bysbaert, Marc
2013-01-01
Among brain functions, language is one of the most lateralized. Cortical language areas are also some of the most asymmetrical in the brain. An open question is whether the asymmetry in function is linked to the asymmetry in anatomy. To address this question, we measured anatomical asymmetry in 34 participants shown with fMRI to have language dominance of the left hemisphere (LLD) and 21 participants shown to have atypical right hemisphere dominance (RLD). All participants were healthy and left-handed, and most (80%) were female. Gray matter (GM) volume asymmetry was measured using an automated surface-based technique in both ROIs and exploratory analyses. In the ROI analysis, a significant difference between LLD and RLD was found in the insula. No differences were found in planum temporale (PT), pars opercularis (POp), pars triangularis (PTr), or Heschl’s gyrus (HG). The PT, POp, insula, and HG were all significantly left lateralized in both LLD and RLD participants. Both the positive and negative ROI findings replicate a previous study using manually labeled ROIs in a different cohort [Keller, S. S., Roberts, N., Garcia-Finana, M., Mohammadi, S., Ringelstein, E. B., Knecht, S., et al. Can the language-dominant hemisphere be predicted by brain anatomy? Journal of Cognitive Neuroscience, 23, 2013–2029, 2011]. The exploratory analysis was accomplished using a new surface-based registration that aligns cortical folding patterns across both subject and hemisphere. A small but significant cluster was found in the superior temporal gyrus that overlapped with the PT. A cluster was also found in the ventral occipitotemporal cortex corresponding to the visual word recognition area. The surface-based analysis also makes it possible to disentangle the effects of GM volume, thickness, and surface area while removing the effects of curvature. For both the ROI and exploratory analyses, the difference between LLD and RLD volume laterality was most strongly driven by differences in surface area and not cortical thickness. Overall, there were surprisingly few differences in GM volume asymmetry between LLD and RLD indicating that gross morphometric asymmetry is only subtly related to functional language laterality. PMID:23701459
ChemBrowser: a flexible framework for mining chemical documents.
Wu, Xian; Zhang, Li; Chen, Ying; Rhodes, James; Griffin, Thomas D; Boyer, Stephen K; Alba, Alfredo; Cai, Keke
2010-01-01
The ability to extract chemical and biological entities and relations from text documents automatically has great value to biochemical research and development activities. The growing maturity of text mining and artificial intelligence technologies shows promise in enabling such automatic chemical entity extraction capabilities (called "Chemical Annotation" in this paper). Many techniques have been reported in the literature, ranging from dictionary and rule-based techniques to machine learning approaches. In practice, we found that no single technique works well in all cases. A combinatorial approach that allows one to quickly compose different annotation techniques together for a given situation is most effective. In this paper, we describe the key challenges we face in real-world chemical annotation scenarios. We then present a solution called ChemBrowser which has a flexible framework for chemical annotation. ChemBrowser includes a suite of customizable processing units that might be utilized in a chemical annotator, a high-level language that describes the composition of various processing units that would form a chemical annotator, and an execution engine that translates the composition language to an actual annotator that can generate annotation results for a given set of documents. We demonstrate the impact of this approach by tailoring an annotator for extracting chemical names from patent documents and show how this annotator can be easily modified with simple configuration alone.
Aphasia therapy on a neuroscience basis
Pulvermüller, Friedemann; Berthier, Marcelo L.
2008-01-01
Background Brain research has documented that the cortical mechanisms for language and action are tightly interwoven and, concurrently, new approaches to language therapy in neurological patients are being developed that implement language training in the context of relevant linguistic and non-linguistic actions, therefore taking advantage of the mutual connections of language and action systems in the brain. A further well-known neuroscience principle is that learning at the neuronal level is driven by correlation; consequently, new approaches to language therapy emphasise massed practice in a short time, thus maximising therapy quantity and frequency and, therefore, correlation at the behavioural and neuronal levels. Learned non-use of unsuccessful actions plays a major role in the chronification of neurological deficits, and behavioural approaches to therapy have therefore employed shaping and other learning techniques to counteract such non-use. Aims Advances in theoretical and experimental neuroscience have important implications for clinical practice. We exemplify this in the domain of aphasia rehabilitation. Main Contribution Whereas classical wisdom had been that aphasia cannot be significantly improved at a chronic stage, we here review evidence that one type of intensive language-action therapy (ILAT)—constraint-induced aphasia therapy—led to significant improvement of language performance in patients with chronic aphasia. We discuss perspectives for further improving speech-language therapy, including drug treatment that may be particularly fruitful when applied in conjunction with behavioural treatment. In a final section we highlight intensive and rapid therapy studies in chronic aphasia as a unique tool for exploring the cortical reorganisation of language. Conclusions We conclude that intensive language action therapy is an efficient tool for improving language functions even at chronic stages of aphasia. Therapy studies using this technique can open new perspectives for research into the plasticity of human language circuits. PMID:18923644
Axiological Role of English Adjectives in English Language Teaching
ERIC Educational Resources Information Center
Zerkina, Natalya N.; Kostina, Nataliia N.; Urazayeva, Nailya R.; Lomakina, Yekaterina A.; Emets, Tatiana V.; Gallyamova, Maria S.; Melnikova, Elena P.; Trutnev, Alexey Yu.; Lukina, Oksana A.
2016-01-01
The article focuses on peculiarities of English adjective teaching as one of main and important lexicological basis. As the English language nowadays is important and universal as a native language of worldwide society, exactly that's why process of learning must include wide range of techniques not only as a process of learning theories but also…
Adult Literacy, Numeracy and Language: Policy, Practice and Research
ERIC Educational Resources Information Center
Tett, Lyn, Ed.; Hamilton, Mary, Ed.; Hillier, Yvonne, Ed.
2006-01-01
This book explores the social practice of literacy, numeracy and language and its implications for teaching and learning adult basic skills. Leading international experts argue that literacy, numeracy and language are more than just a set of skills or techniques, but are shaped by the social and cultural context within which they are taking place;…
Learners' Preferences regarding Types of Language School: An Exploratory Market Research
ERIC Educational Resources Information Center
Cristobal, E.; Llurda, E.
2006-01-01
The use of multimedia technologies in language teaching and learning has become very popular in the last few years. In the case of countries like Spain, multimedia language schools have experienced a great boom and a dramatic fall in the last 10 years. This study applies marketing research techniques to the study of Catalan learners' preferences…
Oral History as an Innovative Language Teaching Technique for Spanish Heritage Language Learners
ERIC Educational Resources Information Center
Burgo, Clara
2016-01-01
Oral history is presented in this article as an interpretative exercise for historical events in a Spanish course for heritage language learners at the university level. Through the interview of a Latino immigrant family, students re-examined the history of their own families and increased their linguistic self-esteem. They were guided to become…
ERIC Educational Resources Information Center
Boswood, Tim, Ed.
A collection of classroom approaches and activities using computers for language learning is presented. Some require sophisticated installations, but most do not, and most use software readily available on most workplace computer systems. The activities were chosen because they use sound language learning strategies. The book is divided into five…
Multi-Sensory Exercises: An Approach to Communicative Practice. 1975-1979.
ERIC Educational Resources Information Center
Kalivoda, Theodore B.
A reprint of a 1975 article on multi-sensory exercises for communicative second language learning is presented. The article begins by noting that the use of drills as a language learning and practice technique had been lost in the trend toward communicative language teaching, but that drills can provide a means of gaining functional control of…
ERIC Educational Resources Information Center
Bozavli, Ebubekir
2017-01-01
The objective is hereby study is to compare the effects of conventional and audiovisual methods on learning efficiency and success of retention with regard to vocabulary teaching in foreign language. Research sample consists of 21 undergraduate and 7 graduate students studying at Department of French Language Teaching, Kazim Karabekir Faculty of…
Seeing the Unheard: Heritage Learners of Spanish and Photo-Diary Pedagogy
ERIC Educational Resources Information Center
Schwartz, Adam; Terry, Helen
2017-01-01
In response to calls to increase Spanish language learners' awareness of the relationship among power, language, and status in their communities and inspired by participatory research techniques, this article reports on the implementation of a photo-diary project with heritage and L2 learners in a basic-level Spanish language course. Students took…
ERIC Educational Resources Information Center
D'haeseleer, Evelien; Vanden Meerschaut, Frauke; Bettens, Kim; Luyten, Anke; Gysels, Hannelore; Thienpont, Ylenia; De Witte, Griet; Heindryckx, Björn; Oostra, Ann; Roeyers, Herbert; De Sutter, Petra; van Lierde, Kristiane
2014-01-01
Background: The effect of assisted reproduction technology (ART) on language development is still unclear. Moreover, different techniques are introduced at rapid pace and are not always accompanied by extensive follow-up programmes. Aims: To investigate the language development of 3-10-year-old children born following ART using intracytoplasmic…
Language Assessment and the Inseparability of Lexis and Grammar: Focus on the Construct of Speaking
ERIC Educational Resources Information Center
Römer, Ute
2017-01-01
This paper aims to connect recent corpus research on phraseology with current language testing practice. It discusses how corpora and corpus-analytic techniques can illuminate central aspects of speech and help in conceptualizing the notion of lexicogrammar in second language speaking assessment. The description of speech and some of its core…
ERIC Educational Resources Information Center
Thomas, Noel, Ed.; Towell, Richard, Ed.
Papers presented at a conference on the use of simultaneous, consecutive, and other forms of interpreting as features of foreign language teaching and learning in British higher education include the following: "Liaison Interpreting as a Communicative Language-Learning Exercise" (H. A. Keith); "Interpreting and Communicating:…
Techniques and implementation of the embedded rule-based expert system using Ada
NASA Technical Reports Server (NTRS)
Liberman, Eugene M.; Jones, Robert E.
1991-01-01
Ada is becoming an increasingly popular programming language for large Government-funded software projects. Ada with its portability, transportability, and maintainability lends itself well to today's complex programming environment. In addition, expert systems have also assured a growing role in providing human-like reasoning capability and expertise for computer systems. The integration of expert system technology with Ada programming language, specifically a rule-based expert system using an ART-Ada (Automated Reasoning Tool for Ada) system shell is discussed. The NASA Lewis Research Center was chosen as a beta test site for ART-Ada. The test was conducted by implementing the existing Autonomous Power EXpert System (APEX), a Lisp-base power expert system, in ART-Ada. Three components, the rule-based expert system, a graphics user interface, and communications software make up SMART-Ada (Systems fault Management with ART-Ada). The main objective, to conduct a beta test on the ART-Ada rule-based expert system shell, was achieved. The system is operational. New Ada tools will assist in future successful projects. ART-Ada is one such tool and is a viable alternative to the straight Ada code when an application requires a rule-based or knowledge-based approach.
Leveraging Wikipedia knowledge to classify multilingual biomedical documents.
Antonio Mouriño García, Marcos; Pérez Rodríguez, Roberto; Anido Rifón, Luis
2018-05-02
This article presents a classifier that leverages Wikipedia knowledge to represent documents as vectors of concepts weights, and analyses its suitability for classifying biomedical documents written in any language when it is trained only with English documents. We propose the cross-language concept matching technique, which relies on Wikipedia interlanguage links to convert concept vectors between languages. The performance of the classifier is compared to a classifier based on machine translation, and two classifiers based on MetaMap. To perform the experiments, we created two multilingual corpus. The first one, Multi-Lingual UVigoMED (ML-UVigoMED) is composed of 23,647 Wikipedia documents about biomedical topics written in English, German, French, Spanish, Italian, Galician, Romanian, and Icelandic. The second one, English-French-Spanish-German UVigoMED (EFSG-UVigoMED) is composed of 19,210 biomedical abstract extracted from MEDLINE written in English, French, Spanish, and German. The performance of the approach proposed is superior to any of the state-of-the art classifier in the benchmark. We conclude that leveraging Wikipedia knowledge is of great advantage in tasks of multilingual classification of biomedical documents. Copyright © 2018 Elsevier B.V. All rights reserved.
New Version of SeismicHandler (SHX) based on ObsPy
NASA Astrophysics Data System (ADS)
Stammler, Klaus; Walther, Marcus
2016-04-01
The command line version of SeismicHandler (SH), a scientific analysis tool for seismic waveform data developed around 1990, has been redesigned in the recent years, based on a project funded by the Deutsche Forschungsgemeinschaft (DFG). The aim was to address new data access techniques, simplified metadata handling and a modularized software design. As a result the program was rewritten in Python in its main parts, taking advantage of simplicity of this script language and its variety of well developed software libraries, including ObsPy. SHX provides an easy access to waveforms and metadata via arclink and FDSN webservice protocols, also access to event catalogs is implemented. With single commands whole networks or stations within a certain area may be read in, the metadata are retrieved from the servers and stored in a local database. For data processing the large set of SH commands is available, as well as the SH scripting language. Via this SH language scripts or additional Python modules the command set of SHX is easily extendable. The program is open source, tested on Linux operating systems, documentation and download is found at URL "https://www.seismic-handler.org/".
Lukersmith, Sue; Fernandez, Ana; Millington, Michael; Salvador-Carulla, Luis
2016-04-01
Case management is a complex intervention. Complexity arises from the interaction of different components: the model (theoretical basis), implementation context (service), population and health condition, focus for the intervention (client and/or their family), case manager's actions (interventions) and the target of case management (integrated care and support, client's community participation). There is a lack of understanding and a common language. To our knowledge there is no classification (taxonomy) for community-based case management. To develop a community-based case management in brain injury taxonomy (BICM-T), as a common language and understanding of case management for use in quality analysis, policy, planning and practice. The mixed qualitative methods used multiple sources of knowledge including scoping, framing and a nominal group technique to iteratively develop the Beta version (draft) of the taxonomy. A two part developmental evaluation involving case studies and mapping to international frameworks assessed the applicability and acceptability (feasibility) before finalization of the BICM-T. The BICM-T includes a definition of community-based case management, taxonomy trees, tables and a glossary. The interventions domain tree has 9 main actions (parent category): engagement, holistic assessment, planning, education, training and skills development, emotional and motivational support, advising, coordination, monitoring; 17 linked actions (children category); 8 related actions; 63 relevant terms defined in the glossary. The BICM-T provides a knowledge map with the definitions and relationships between the core actions (interventions domain). Use of the taxonomy as a common language will benefit practice, quality analysis, evaluation, policy, planning and resource allocation. Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.
Ground Operations Aerospace Language (GOAL). Volume 2: Compiler
NASA Technical Reports Server (NTRS)
1973-01-01
The principal elements and functions of the Ground Operations Aerospace Language (GOAL) compiler are presented. The technique used to transcribe the syntax diagrams into machine processable format for use by the parsing routines is described. An explanation of the parsing technique used to process GOAL source statements is included. The compiler diagnostics and the output reports generated during a GOAL compilation are explained. A description of the GOAL program package is provided.
A Tutorial on Techniques and Applications for Natural Language Processing
1983-10-17
mentioned above as specific to context-free grammars were tackled by linguists, in particular Chomsky [21, 221 through Transformational Grammar . As shown...DTIC e, C 17 October 1983 MAY 1,5 1990 DEPARTMENT of COMPUTER SCIENCE Approved for pu ]3 -- ,. " Carnegie-Mellon University . . . - -A.,,Anm m n n n n ln...A Tutorial on Techniques and Applications for Natural Language Processing Philip J. Hayes and Jaime G. Carbonell Carnegie-Mellon University 17
Rêgo, Hênio Henrique Aragão; Braunstein, Lidia A.; D′Agostino, Gregorio; Stanley, H. Eugene; Miyazima, Sasuke
2014-01-01
In linguistic studies, the academic level of the vocabulary in a text can be described in terms of statistical physics by using a “temperature” concept related to the text's word-frequency distribution. We propose a “comparative thermo-linguistic” technique to analyze the vocabulary of a text to determine its academic level and its target readership in any given language. We apply this technique to a large number of books by several authors and examine how the vocabulary of a text changes when it is translated from one language to another. Unlike the uniform results produced using the Zipf law, using our “word energy” distribution technique we find variations in the power-law behavior. We also examine some common features that span across languages and identify some intriguing questions concerning how to determine when a text is suitable for its intended readership. PMID:25353343
Rêgo, Hênio Henrique Aragão; Braunstein, Lidia A; D'Agostino, Gregorio; Stanley, H Eugene; Miyazima, Sasuke
2014-01-01
In linguistic studies, the academic level of the vocabulary in a text can be described in terms of statistical physics by using a "temperature" concept related to the text's word-frequency distribution. We propose a "comparative thermo-linguistic" technique to analyze the vocabulary of a text to determine its academic level and its target readership in any given language. We apply this technique to a large number of books by several authors and examine how the vocabulary of a text changes when it is translated from one language to another. Unlike the uniform results produced using the Zipf law, using our "word energy" distribution technique we find variations in the power-law behavior. We also examine some common features that span across languages and identify some intriguing questions concerning how to determine when a text is suitable for its intended readership.
Rehabilitation of language in expressive aphasias: a literature review.
da Fontoura, Denise Ren; Rodrigues, Jaqueline de Carvalho; Carneiro, Luciana Behs de Sá; Monção, Ana Maria; de Salles, Jerusa Fumagalli
2012-01-01
This paper reviews the methodological characteristics of studies on rehabilitation of expressive aphasia, describing the techniques of rehabilitation used. The databases Medline, Science Direct and PubMed were searched for relevant articles (January 1999 to December 2011) using the keywords Expressive / Broca / Nonfluent Aphasia, combined with Language or Speech Rehabilitation / Therapy / Intervention. A total of 56 articles were retrieved describing rehabilitation techniques, including 22 with a focus on lexical processing, 18 on syntax stimulation, seven with the aim of developing speech and nine with multiple foci. A variety of techniques and theoretical approaches are available, highlighting the heterogeneity of research in this area. This diversity can be justified by the uniqueness of patients' language deficits, making it difficult to generalize. In addition, there is a need to combine the formal measures of tests with measures of pragmatic and social skills of communication to determine the effect of rehabilitation on the patient's daily life.
MobileASL: intelligibility of sign language video over mobile phones.
Cavender, Anna; Vanam, Rahul; Barney, Dane K; Ladner, Richard E; Riskin, Eve A
2008-01-01
For Deaf people, access to the mobile telephone network in the United States is currently limited to text messaging, forcing communication in English as opposed to American Sign Language (ASL), the preferred language. Because ASL is a visual language, mobile video phones have the potential to give Deaf people access to real-time mobile communication in their preferred language. However, even today's best video compression techniques can not yield intelligible ASL at limited cell phone network bandwidths. Motivated by this constraint, we conducted one focus group and two user studies with members of the Deaf Community to determine the intelligibility effects of video compression techniques that exploit the visual nature of sign language. Inspired by eye tracking results that show high resolution foveal vision is maintained around the face, we studied region-of-interest encodings (where the face is encoded at higher quality) as well as reduced frame rates (where fewer, better quality, frames are displayed every second). At all bit rates studied here, participants preferred moderate quality increases in the face region, sacrificing quality in other regions. They also preferred slightly lower frame rates because they yield better quality frames for a fixed bit rate. The limited processing power of cell phones is a serious concern because a real-time video encoder and decoder will be needed. Choosing less complex settings for the encoder can reduce encoding time, but will affect video quality. We studied the intelligibility effects of this tradeoff and found that we can significantly speed up encoding time without severely affecting intelligibility. These results show promise for real-time access to the current low-bandwidth cell phone network through sign-language-specific encoding techniques.
NASA Technical Reports Server (NTRS)
James, T. A.; Hall, B. C.; Newbold, P. M.
1972-01-01
A comparative evaluation was made of eight higher order languages of general interest in the aerospace field: PL/1; HAL; JOVIAL/J3; SPL/J6; CLASP; ALGOL 60; FORTRAN 4; and MAC360. A summary of the functional requirements for a language for general use in manned aerodynamic applications is presented. The evaluation supplies background material to be used in assessing the worth of each language for some particular application.
Evaluation of Language Function under Awake Craniotomy
KANNO, Aya; MIKUNI, Nobuhiro
2015-01-01
Awake craniotomy is the only established way to assess patients’ language functions intraoperatively and to contribute to their preservation, if necessary. Recent guidelines have enabled the approach to be used widely, effectively, and safely. Non-invasive brain functional imaging techniques, including functional magnetic resonance imaging and diffusion tensor imaging, have been used preoperatively to identify brain functional regions corresponding to language, and their accuracy has increased year by year. In addition, the use of neuronavigation that incorporates this preoperative information has made it possible to identify the positional relationships between the lesion and functional regions involved in language, conduct functional brain mapping in the awake state with electrical stimulation, and intraoperatively assess nerve function in real time when resecting the lesion. This article outlines the history of awake craniotomy, the current state of pre- and intraoperative evaluation of language function, and the clinical usefulness of such functional evaluation. When evaluating patients’ language functions during awake craniotomy, given the various intraoperative stresses involved, it is necessary to carefully select the tasks to be undertaken, quickly perform all examinations, and promptly evaluate the results. As language functions involve both input and output, they are strongly affected by patients’ preoperative cognitive function, degree of intraoperative wakefulness and fatigue, the ability to produce verbal articulations and utterances, as well as perform synergic movement. Therefore, it is essential to appropriately assess the reproducibility of language function evaluation using awake craniotomy techniques. PMID:25925758
Evaluation of Language Function under Awake Craniotomy.
Kanno, Aya; Mikuni, Nobuhiro
2015-01-01
Awake craniotomy is the only established way to assess patients' language functions intraoperatively and to contribute to their preservation, if necessary. Recent guidelines have enabled the approach to be used widely, effectively, and safely. Non-invasive brain functional imaging techniques, including functional magnetic resonance imaging and diffusion tensor imaging, have been used preoperatively to identify brain functional regions corresponding to language, and their accuracy has increased year by year. In addition, the use of neuronavigation that incorporates this preoperative information has made it possible to identify the positional relationships between the lesion and functional regions involved in language, conduct functional brain mapping in the awake state with electrical stimulation, and intraoperatively assess nerve function in real time when resecting the lesion. This article outlines the history of awake craniotomy, the current state of pre- and intraoperative evaluation of language function, and the clinical usefulness of such functional evaluation. When evaluating patients' language functions during awake craniotomy, given the various intraoperative stresses involved, it is necessary to carefully select the tasks to be undertaken, quickly perform all examinations, and promptly evaluate the results. As language functions involve both input and output, they are strongly affected by patients' preoperative cognitive function, degree of intraoperative wakefulness and fatigue, the ability to produce verbal articulations and utterances, as well as perform synergic movement. Therefore, it is essential to appropriately assess the reproducibility of language function evaluation using awake craniotomy techniques.
Common IED exploitation target set ontology
NASA Astrophysics Data System (ADS)
Russomanno, David J.; Qualls, Joseph; Wowczuk, Zenovy; Franken, Paul; Robinson, William
2010-04-01
The Common IED Exploitation Target Set (CIEDETS) ontology provides a comprehensive semantic data model for capturing knowledge about sensors, platforms, missions, environments, and other aspects of systems under test. The ontology also includes representative IEDs; modeled as explosives, camouflage, concealment objects, and other background objects, which comprise an overall threat scene. The ontology is represented using the Web Ontology Language and the SPARQL Protocol and RDF Query Language, which ensures portability of the acquired knowledge base across applications. The resulting knowledge base is a component of the CIEDETS application, which is intended to support the end user sensor test and evaluation community. CIEDETS associates a system under test to a subset of cataloged threats based on the probability that the system will detect the threat. The associations between systems under test, threats, and the detection probabilities are established based on a hybrid reasoning strategy, which applies a combination of heuristics and simplified modeling techniques. Besides supporting the CIEDETS application, which is focused on efficient and consistent system testing, the ontology can be leveraged in a myriad of other applications, including serving as a knowledge source for mission planning tools.
Cross-Platform Development Techniques for Mobile Devices
2013-09-01
many other platforms including Windows, Blackberry , and Symbian. Each of these platforms has their own distinct architecture and programming language...sales of iPhones and the increasing use of Android-based devices have forced less successful competitors such as Microsoft, Blackberry , and Symbian... Blackberry and Windows Phone are planned [12] in this tool’s attempt to reuse code with a unified JavaScript API while at the same time supporting unique
The Contribution of Music to the Fluent Writing Skills: Mayaz Technique
ERIC Educational Resources Information Center
Batur, Zekerya
2016-01-01
This is an experimental study. In this study, experimental and control groups have been formed based on the scores obtained from Turkish language exams. The study group consists of 80 pupils currently studying in the 5th and 6th grades of the secondary school who have an average GPA of 70 to 80 (of the 5th grade pupils, 20 of them are in the…
Computer architecture evaluation for structural dynamics computations: Project summary
NASA Technical Reports Server (NTRS)
Standley, Hilda M.
1989-01-01
The intent of the proposed effort is the examination of the impact of the elements of parallel architectures on the performance realized in a parallel computation. To this end, three major projects are developed: a language for the expression of high level parallelism, a statistical technique for the synthesis of multicomputer interconnection networks based upon performance prediction, and a queueing model for the analysis of shared memory hierarchies.
Natural language generation in health care.
Cawsey, A J; Webber, B L; Jones, R B
1997-01-01
Good communication is vital in health care, both among health care professionals, and between health care professionals and their patients. And well-written documents, describing and/or explaining the information in structured databases may be easier to comprehend, more edifying, and even more convincing than the structured data, even when presented in tabular or graphic form. Documents may be automatically generated from structured data, using techniques from the field of natural language generation. These techniques are concerned with how the content, organization and language used in a document can be dynamically selected, depending on the audience and context. They have been used to generate health education materials, explanations and critiques in decision support systems, and medical reports and progress notes.
Linguistically informed digital fingerprints for text
NASA Astrophysics Data System (ADS)
Uzuner, Özlem
2006-02-01
Digital fingerprinting, watermarking, and tracking technologies have gained importance in the recent years in response to growing problems such as digital copyright infringement. While fingerprints and watermarks can be generated in many different ways, use of natural language processing for these purposes has so far been limited. Measuring similarity of literary works for automatic copyright infringement detection requires identifying and comparing creative expression of content in documents. In this paper, we present a linguistic approach to automatically fingerprinting novels based on their expression of content. We use natural language processing techniques to generate "expression fingerprints". These fingerprints consist of both syntactic and semantic elements of language, i.e., syntactic and semantic elements of expression. Our experiments indicate that syntactic and semantic elements of expression enable accurate identification of novels and their paraphrases, providing a significant improvement over techniques used in text classification literature for automatic copy recognition. We show that these elements of expression can be used to fingerprint, label, or watermark works; they represent features that are essential to the character of works and that remain fairly consistent in the works even when works are paraphrased. These features can be directly extracted from the contents of the works on demand and can be used to recognize works that would not be correctly identified either in the absence of pre-existing labels or by verbatim-copy detectors.
NASA Astrophysics Data System (ADS)
Dore, C.; Murphy, M.
2013-02-01
This paper outlines a new approach for generating digital heritage models from laser scan or photogrammetric data using Historic Building Information Modelling (HBIM). HBIM is a plug-in for Building Information Modelling (BIM) software that uses parametric library objects and procedural modelling techniques to automate the modelling stage. The HBIM process involves a reverse engineering solution whereby parametric interactive objects representing architectural elements are mapped onto laser scan or photogrammetric survey data. A library of parametric architectural objects has been designed from historic manuscripts and architectural pattern books. These parametric objects were built using an embedded programming language within the ArchiCAD BIM software called Geometric Description Language (GDL). Procedural modelling techniques have been implemented with the same language to create a parametric building façade which automatically combines library objects based on architectural rules and proportions. Different configurations of the façade are controlled by user parameter adjustment. The automatically positioned elements of the façade can be subsequently refined using graphical editing while overlaying the model with orthographic imagery. Along with this semi-automatic method for generating façade models, manual plotting of library objects can also be used to generate a BIM model from survey data. After the 3D model has been completed conservation documents such as plans, sections, elevations and 3D views can be automatically generated for conservation projects.
Study to develop techniques for a self-organizing computer
NASA Technical Reports Server (NTRS)
Schaffner, M. R.
1972-01-01
The main emphasis has been on the programming language for a self organizing computer. An example of programming with the language of finite state machines is presented in a real time processing for weather radars.
ERIC Educational Resources Information Center
Dallas, Andrea; DeDe, Gayle; Nicol, Janet
2013-01-01
The current study employed a neuro-imaging technique, Event-Related Potentials (ERP), to investigate real-time processing of sentences containing filler-gap dependencies by late-learning speakers of English as a second language (L2) with a Chinese native language background. An individual differences approach was also taken to examine the role of…
ERIC Educational Resources Information Center
Dotson, Felecia
2017-01-01
The current study examines the effects that a coaching intervention has on the occurrences of scaffolding language techniques in a teacher's instructional delivery, in addition to the possible influences that a coaching intervention has on the teacher's ability to reflect on scaffolding language. More importantly, the study considers whether…
ERIC Educational Resources Information Center
Popadiuk, Natalee E.; Marshall, Steve
2011-01-01
In the school counselling literature, little focus is placed on international students who are learners of English as an Additional Language (EAL) and on school counselling support related to their language acquisition. Using the Critical Incident Technique, we analyzed transcripts of 21 international EAL students from China, Japan, and Korea who…
ERIC Educational Resources Information Center
Galante, Angelica; Thomson, Ron I.
2017-01-01
Although the development of second language (L2) oral fluency has been widely investigated over the past several decades, there remains a paucity of research examining language instruction specifically aimed at improving this cognitive skill. In this study, the researchers investigate how instructional techniques adapted from drama can positively…
ERIC Educational Resources Information Center
Crossley, Scott A.
2013-01-01
This paper provides an agenda for replication studies focusing on second language (L2) writing and the use of natural language processing (NLP) tools and machine learning algorithms. Specifically, it introduces a range of the available NLP tools and machine learning algorithms and demonstrates how these could be used to replicate seminal studies…
ERIC Educational Resources Information Center
Voght, Geoffrey M., Comp.
The proceedings of this conference include 56 papers on program design, classroom techniques, and ideas for second language instruction for business and the professions. The papers are presented in eight groups: (1) "International Business: The Language and Culture Connection," which includes papers on multinational business, marketing,…
ERIC Educational Resources Information Center
Kasten, Wendy C.; Clarke, Barbara K.
Using ethnographic techniques to observe seven fifth grade and seven third grade students, a study examined the function of children's oral language during creative writing sessions in typical classroom situations. Findings indicated that oral language plays an important role in the writing process; specifically, that it (1) accompanies writing as…
ERIC Educational Resources Information Center
Thomas, Margaret
2015-01-01
This article calls attention to a facet of the expertise of second language (L2) learners of Japanese at the intersection of language, memory, gesture, and the psycholinguistics of a logographic writing system. Previous research has shown that adult L2 learners of Japanese living in Japan (similarly to native speakers of Japanese) often…
ERIC Educational Resources Information Center
Ullman, Michael T.; Lovelett, Jarrett T.
2018-01-01
The declarative/procedural (DP) model posits that the learning, storage, and use of language critically depend on two learning and memory systems in the brain: declarative memory and procedural memory. Thus, on the basis of independent research on the memory systems, the model can generate specific and often novel predictions for language. Till…
ERIC Educational Resources Information Center
Hohenshell, Liesl M.; Woller, Michael J.; Sherlock, Wallace
2013-01-01
In order to be successful, students must acquire the language of science for both oral and written communication. In this article we examine an oral language learning technique called choral repetition for its role in building literacy in the context of an animal physiology course. For 3 weeks, the instructor conducted choral repetitions of nine…
Activating the Worker in Elderly Care: A Technique and Tactics of Invitation
ERIC Educational Resources Information Center
Fejes, A.; Nicoll, K.
2011-01-01
Relatively little attention has been paid to questions of how language acts in and through the interactions of language in situations where people are encouraged to learn to be active in contexts of work. This paper argues that detailed analysis is needed to understand how activation through language acts in the shaping and governing of workers.…
NASA Astrophysics Data System (ADS)
Saddhono, Kundharu
2018-03-01
Teaching Indonesian to Speakers of Other Languages (TISOL) program is increasingly in demand by people in various parts of the world. Foreign students learn a lot of Indonesian language in major cities in Indonesia. The purpose of this study is to explain the cultural and social changes of foreign students in Indonesia, especially in Java, which is following TISOL program. This study focused on the influence of Javanese culture on foreign students studying Indonesian in Java. Research method used is descriptive qualitative with ethnography approach. This research was conducted in TISOL program organized by in Central Java, East Java, and Yogyakarta. Sources of data used are documents and informants. The sampling technique used is purposive sampling. Purposive sampling is considered more capable to obtain complete data in the face of various realities. Data collection techniques are done by reviewing documents or records using content analysis techniques. Other techniques used are interview techniques with some students and lecturers to get data about the factors that affect the cultural and social changes of foreign students in Indonesia. Also, interviews were also conducted with teachers to request a different process in TISOL. The most common way used to improve validity in qualitative research is the triangulation technique. In this study used triangulation theory, triangulation method, and review of informants. The results show that using Javanese culture is very influential in the cultural and social changes of foreign students in Indonesia. Students become more enthusiastic and active in responding to learning in TISOL that is influenced by Javanese culture. The change comes from internal and external students. This change helps foreign students to understand Indonesian language and culture more comprehensively.
Halle, J W; Baer, D M; Spradlin, J E
1981-01-01
In Experiment 1, classroom teachers were taught to delay their offers of help in naturally occurring situations, and thereby to provide additional opportunities for language use by six moderately retarded language-delayed children. The teachers introduced this delay technique in a multiple-baseline design across the six children. As delays were used, child verbal initiations increased. Follow-up assessment showed that teachers were maintaining greater than baseline levels of the delay technique after 10 weeks. Experiment 2 replicated the findings of Experiment 1, and included a more thorough maintenance assessment, while focusing on teachers' generalization of the delay technique. Teachers were found to generalize their use of delay to 56% of their monitored untaught opportunities. The two experiments show that (a) the delay technique is quick to teach and simple to implement, (b) delays do provide opportunities for children to initiate, (c) teachers can generalize their use of delay to novel self-selected situations, and (d) teachers can maintain their use of delays over time. PMID:6460019
ERIC Educational Resources Information Center
Haley, Katarina L.; And Others
1994-01-01
Fifteen preschool children with specific language impairment engaged in typical language intervention activities during conversation-based and imitation-based language programs. A higher number of positive social valence ratings; higher frequency of smiling, laughing, and engagement; and higher rate of verbal initiations were noted within…
Kristo, Gert; Raemaekers, Mathijs; Rutten, Geert-Jan; de Gelder, Beatrice; Ramsey, Nick F
2015-03-01
Despite many claims of functional reorganization following tumour surgery, empirical studies that investigate changes in functional activation patterns are rare. This study investigates whether functional recovery following surgical treatment in patients with a low-grade glioma in the left hemisphere is linked to inter-hemispheric reorganization. Based on literature, we hypothesized that reorganization would induce changes in the spatial pattern of activation specifically in tumour homologue brain areas in the healthy right hemisphere. An experimental group (EG) of 14 patients with a glioma in the left hemisphere near language related brain areas, and a control group of 6 patients with a glioma in the right, non-language dominant hemisphere were scanned before and after resection. In addition, an age and gender matched second control group of 18 healthy volunteers was scanned twice. A verb generation task was used to map language related areas and a novel technique was used for data analysis. Contrary to our hypothesis, we found that functional recovery following surgery of low-grade gliomas cannot be linked to functional reorganization in language homologue brain areas in the healthy, right hemisphere. Although elevated changes in the activation pattern were found in patients after surgery, these were largest in brain areas in proximity to the surgical resection, and were very similar to the spatial pattern of the brain shift following surgery. This suggests that the apparent perilesional functional reorganization is mostly caused by the brain shift as a consequence of surgery. Perilesional functional reorganization can however not be excluded. The study suggests that language recovery after transient post-surgical language deficits involves recovery of functioning of the presurgical language system. Copyright © 2014 Elsevier Ltd. All rights reserved.
A longitudinal study of auditory evoked field and language development in young children.
Yoshimura, Yuko; Kikuchi, Mitsuru; Ueno, Sanae; Shitamichi, Kiyomi; Remijn, Gerard B; Hiraishi, Hirotoshi; Hasegawa, Chiaki; Furutani, Naoki; Oi, Manabu; Munesue, Toshio; Tsubokawa, Tsunehisa; Higashida, Haruhiro; Minabe, Yoshio
2014-11-01
The relationship between language development in early childhood and the maturation of brain functions related to the human voice remains unclear. Because the development of the auditory system likely correlates with language development in young children, we investigated the relationship between the auditory evoked field (AEF) and language development using non-invasive child-customized magnetoencephalography (MEG) in a longitudinal design. Twenty typically developing children were recruited (aged 36-75 months old at the first measurement). These children were re-investigated 11-25 months after the first measurement. The AEF component P1m was examined to investigate the developmental changes in each participant's neural brain response to vocal stimuli. In addition, we examined the relationships between brain responses and language performance. P1m peak amplitude in response to vocal stimuli significantly increased in both hemispheres in the second measurement compared to the first measurement. However, no differences were observed in P1m latency. Notably, our results reveal that children with greater increases in P1m amplitude in the left hemisphere performed better on linguistic tests. Thus, our results indicate that P1m evoked by vocal stimuli is a neurophysiological marker for language development in young children. Additionally, MEG is a technique that can be used to investigate the maturation of the auditory cortex based on auditory evoked fields in young children. This study is the first to demonstrate a significant relationship between the development of the auditory processing system and the development of language abilities in young children. Copyright © 2014 Elsevier Inc. All rights reserved.
Teaching Sentential Intonation through Proverbs
ERIC Educational Resources Information Center
Yurtbasi, Metin
2012-01-01
Suprasegmental elements such as "stress," "pitch," "juncture" and "linkers" are language universals that are uttered naturally in the mother tongue without prior training but need to be learned systematically in the target language. Among other techniques of "sentential pronunciation teaching" to…
Lee, Yi-Hsuan; von Davier, Alina A
2013-07-01
Maintaining a stable score scale over time is critical for all standardized educational assessments. Traditional quality control tools and approaches for assessing scale drift either require special equating designs, or may be too time-consuming to be considered on a regular basis with an operational test that has a short time window between an administration and its score reporting. Thus, the traditional methods are not sufficient to catch unusual testing outcomes in a timely manner. This paper presents a new approach for score monitoring and assessment of scale drift. It involves quality control charts, model-based approaches, and time series techniques to accommodate the following needs of monitoring scale scores: continuous monitoring, adjustment of customary variations, identification of abrupt shifts, and assessment of autocorrelation. Performance of the methodologies is evaluated using manipulated data based on real responses from 71 administrations of a large-scale high-stakes language assessment.
From Informal Safety-Critical Requirements to Property-Driven Formal Validation
NASA Technical Reports Server (NTRS)
Cimatti, Alessandro; Roveri, Marco; Susi, Angelo; Tonetta, Stefano
2008-01-01
Most of the efforts in formal methods have historically been devoted to comparing a design against a set of requirements. The validation of the requirements themselves, however, has often been disregarded, and it can be considered a largely open problem, which poses several challenges. The first challenge is given by the fact that requirements are often written in natural language, and may thus contain a high degree of ambiguity. Despite the progresses in Natural Language Processing techniques, the task of understanding a set of requirements cannot be automatized, and must be carried out by domain experts, who are typically not familiar with formal languages. Furthermore, in order to retain a direct connection with the informal requirements, the formalization cannot follow standard model-based approaches. The second challenge lies in the formal validation of requirements. On one hand, it is not even clear which are the correctness criteria or the high-level properties that the requirements must fulfill. On the other hand, the expressivity of the language used in the formalization may go beyond the theoretical and/or practical capacity of state-of-the-art formal verification. In order to solve these issues, we propose a new methodology that comprises of a chain of steps, each supported by a specific tool. The main steps are the following. First, the informal requirements are split into basic fragments, which are classified into categories, and dependency and generalization relationships among them are identified. Second, the fragments are modeled using a visual language such as UML. The UML diagrams are both syntactically restricted (in order to guarantee a formal semantics), and enriched with a highly controlled natural language (to allow for modeling static and temporal constraints). Third, an automatic formal analysis phase iterates over the modeled requirements, by combining several, complementary techniques: checking consistency; verifying whether the requirements entail some desirable properties; verify whether the requirements are consistent with selected scenarios; diagnosing inconsistencies by identifying inconsistent cores; identifying vacuous requirements; constructing multiple explanations by enabling the fault-tree analysis related to particular fault models; verifying whether the specification is realizable.
Safety Analysis of FMS/CTAS Interactions During Aircraft Arrivals
NASA Technical Reports Server (NTRS)
Leveson, Nancy G.
1998-01-01
This grant funded research on human-computer interaction design and analysis techniques, using future ATC environments as a testbed. The basic approach was to model the nominal behavior of both the automated and human procedures and then to apply safety analysis techniques to these models. Our previous modeling language, RSML, had been used to specify the system requirements for TCAS II for the FAA. Using the lessons learned from this experience, we designed a new modeling language that (among other things) incorporates features to assist in designing less error-prone human-computer interactions and interfaces and in detecting potential HCI problems, such as mode confusion. The new language, SpecTRM-RL, uses "intent" abstractions, based on Rasmussen's abstraction hierarchy, and includes both informal (English and graphical) specifications and formal, executable models for specifying various aspects of the system. One of the goals for our language was to highlight the system modes and mode changes to assist in identifying the potential for mode confusion. Three published papers resulted from this research. The first builds on the work of Degani on mode confusion to identify aspects of the system design that could lead to potential hazards. We defined and modeled modes differently than Degani and also defined design criteria for SpecTRM-RL models. Our design criteria include the Degani criteria but extend them to include more potential problems. In a second paper, Leveson and Palmer showed how the criteria for indirect mode transitions could be applied to a mode confusion problem found in several ASRS reports for the MD-88. In addition, we defined a visual task modeling language that can be used by system designers to model human-computer interaction. The visual models can be translated into SpecTRM-RL models, and then the SpecTRM-RL suite of analysis tools can be used to perform formal and informal safety analyses on the task model in isolation or integrated with the rest of the modeled system. We had hoped to be able to apply these modeling languages and analysis tools to a TAP air/ground trajectory negotiation scenario, but the development of the tools took more time than we anticipated.
A multilingual gold-standard corpus for biomedical concept recognition: the Mantra GSC.
Kors, Jan A; Clematide, Simon; Akhondi, Saber A; van Mulligen, Erik M; Rebholz-Schuhmann, Dietrich
2015-09-01
To create a multilingual gold-standard corpus for biomedical concept recognition. We selected text units from different parallel corpora (Medline abstract titles, drug labels, biomedical patent claims) in English, French, German, Spanish, and Dutch. Three annotators per language independently annotated the biomedical concepts, based on a subset of the Unified Medical Language System and covering a wide range of semantic groups. To reduce the annotation workload, automatically generated preannotations were provided. Individual annotations were automatically harmonized and then adjudicated, and cross-language consistency checks were carried out to arrive at the final annotations. The number of final annotations was 5530. Inter-annotator agreement scores indicate good agreement (median F-score 0.79), and are similar to those between individual annotators and the gold standard. The automatically generated harmonized annotation set for each language performed equally well as the best annotator for that language. The use of automatic preannotations, harmonized annotations, and parallel corpora helped to keep the manual annotation efforts manageable. The inter-annotator agreement scores provide a reference standard for gauging the performance of automatic annotation techniques. To our knowledge, this is the first gold-standard corpus for biomedical concept recognition in languages other than English. Other distinguishing features are the wide variety of semantic groups that are being covered, and the diversity of text genres that were annotated. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association.
Module Cluster: TLA-004.00 (GSC) Teaching Language Arts in the Elementary School.
ERIC Educational Resources Information Center
Mignogna, William D.
The purpose of this module cluster is to enable students to a) identify the areas that the language arts focus on in the elementary school; b) analyze and synthesize expressive and receptive skills as they relate to the language arts program; c) demonstrate a knowledge of and skill in the use of a variety of techniques and materials for teaching…
ERIC Educational Resources Information Center
Galvez Touzet, Teresa
This guide in Spanish for the foreign language teacher suggests that more emphasis be placed on theater and art in the second language classroom. Easy methods for creating functional and attractive visual aids for the classroom are described. This guide for elementary school teachers describes: (1) easy theatrical techniques that can be used daily…
Exploring a New Technique for Comparing Bilinguals' L1 and L2 Reading Speed
ERIC Educational Resources Information Center
Gauvin, Hanna S.; Hulstijn, Jan H.
2010-01-01
Is it possible to tell whether bilinguals are able to read simple text in their two languages equally fluently? Is it thus possible to distinguish balanced bilinguals from unbalanced bilinguals with respect to reading fluency in their first language (L1) and second language (L2)? In this study, we avoided making direct comparisons between L1 and…
Sketchcode: A Documentation Technique for Computer Hobbyists and Programmers
ERIC Educational Resources Information Center
Voros, Todd, L.
1978-01-01
Sketchcode is a metaprograming pseudo-language documentation technique intended to simplify the process of program writing and debugging for both high and low-level users. Helpful hints and examples for the use of the technique are included. (CMV)
Automatic Methods and Tools for the Verification of Real Time Systems
1997-07-31
real - time systems . This was accomplished by extending techniques, based on automata theory and temporal logic, that have been successful for the verification of time-independent reactive systems. As system specification lanmaage for embedded real - time systems , we introduced hybrid automata, which equip traditional discrete automata with real-numbered clock variables and continuous environment variables. As requirements specification languages, we introduced temporal logics with clock variables for expressing timing constraints.
Professional Development of Officers Study. Volume 4, Development Periods
1985-02-21
that cadets and making techniques and the t.se of a common op- candidates are expected to receive as broad- erational language to direct actions and...based, in part, on the branch production 2 Glossary mission of the institution (reinforce through 3 Action Plan branch-specific position coding). 4...the next four years (see Action Plan cept for its scholarship students (about three per- at Appendix 3 for details). cent of ROTC cadets), imposes
A Hybrid Approach to Clinical Question Answering
2014-11-01
participation in TREC, we submitted a single run using a hybrid Natural Language Processing ( NLP )-driven approach to accomplish the given task. Evaluation re...for the CDS track uses a variety of NLP - based techniques to address the clinical questions provided. We present a description of our approach, and...discuss our experimental setup, results and eval- uation in the subsequent sections. 2 Description of Our Approach Our hybrid NLP -driven method presents a
Software Engineering Laboratory (SEL) database organization and user's guide, revision 2
NASA Technical Reports Server (NTRS)
Morusiewicz, Linda; Bristow, John
1992-01-01
The organization of the Software Engineering Laboratory (SEL) database is presented. Included are definitions and detailed descriptions of the database tables and views, the SEL data, and system support data. The mapping from the SEL and system support data to the base table is described. In addition, techniques for accessing the database through the Database Access Manager for the SEL (DAMSEL) system and via the ORACLE structured query language (SQL) are discussed.
Software Engineering Laboratory (SEL) database organization and user's guide
NASA Technical Reports Server (NTRS)
So, Maria; Heller, Gerard; Steinberg, Sandra; Spiegel, Douglas
1989-01-01
The organization of the Software Engineering Laboratory (SEL) database is presented. Included are definitions and detailed descriptions of the database tables and views, the SEL data, and system support data. The mapping from the SEL and system support data to the base tables is described. In addition, techniques for accessing the database, through the Database Access Manager for the SEL (DAMSEL) system and via the ORACLE structured query language (SQL), are discussed.
1983-11-03
capability. An intelligent library management system will be supported by knowledge-based techniques. In fact, until a formal specification of library...from artificial intelligence and information science 2 might also be useful, for example automatic indexing and cataloging schemes, methods for fast...Artificial Intelligence 5:1045-1058, 1977. [Burstall & Goguen 801 Burstall, R. M., and Goguen, J. A. The Semantics of Clear, a Specification Language. In
Bilingual Babel: Cuneiform Texts in Two or More Languages from Ancient Mesopotamia and Beyond.
ERIC Educational Resources Information Center
Cooper, Jerrold
1993-01-01
Discusses bilingualism in written cuneiform texts from ancient Babylonia and Sumeria. Describes the development of formats and techniques that enabled two or more languages on a single document to coexist harmoniously and productively. (SR)
Black Interpretation, Black American Literature, and Grey Audiences.
ERIC Educational Resources Information Center
Washington, Earl M.
1981-01-01
Defines and illustrates language techniques used by Black authors writing to and for Blacks in the 1960s and 1970s. Suggests how language and theme barriers of such literature might be overcome in a contemporary integrated oral interpretation classroom. (PD)
Motivation et environnement (Motivation and Environment).
ERIC Educational Resources Information Center
Ferenczi, Victor
1982-01-01
Discusses the nonexistence of explicit reference to the learner's mental, linguistic, and cultural universe in traditional methods of teaching a foreign language and proposes teaching techniques that will facilitate the integration of the learner's local environment in the foreign language class. (AMH)
Introduction to Computational Physics for Undergraduates
NASA Astrophysics Data System (ADS)
Zubairi, Omair; Weber, Fridolin
2018-03-01
This is an introductory textbook on computational methods and techniques intended for undergraduates at the sophomore or junior level in the fields of science, mathematics, and engineering. It provides an introduction to programming languages such as FORTRAN 90/95/2000 and covers numerical techniques such as differentiation, integration, root finding, and data fitting. The textbook also entails the use of the Linux/Unix operating system and other relevant software such as plotting programs, text editors, and mark up languages such as LaTeX. It includes multiple homework assignments.
A Technique for Removing an Important Class of Trojan Horses from High-Order Languages
1988-01-01
A Technique for Removing an Important Class of Trojan Horses from High Order Languages∗ John McDermott Center for Secure Information Technology...Ken Thompson described a sophisticated Trojan horse attack on a compiler, one that is undetectable by any search of the compiler source code. The...object of the compiler Trojan horse is to modify the semantics of the high order language in a way that breaks the security of a trusted system generated
Research issues of geometry-based visual languages and some solutions
NASA Astrophysics Data System (ADS)
Green, Thorn G.
This dissertation addresses the problem of how to design visual language systems that are based upon Geometric Algebra, and provide a visual coupling of algebraic expressions and geometric depictions. This coupling of algebraic expressions and geometric depictions provides a new means for expressing both mathematical and geometric relationships present in mathematics, physics, and Computer-Aided Geometric Design (CAGD). Another significant feature of such a system is that the result of changing a parameter (by dragging the mouse) can be seen immediately in the depiction(s) of all expressions that use that parameter. This greatly aides the cognition of the relationships between variables. Systems for representing such a coupling of algebra and geometry have characteristics of both visual language systems, and systems for scientific visualization. Instead of using a parsing or dataflow paradigm for the visual language representation, the systems instead represent equations as manipulatible constrained diagrams for their visualization. This requires that the design of such a system have (but is not limited to) a means for parsing equations entered by the user, a scheme for producing a visual representation of these equations; techniques for maintaining the coupling between the expressions entered and the diagrams displayed; algorithms for maintaining the consistency of the diagrams; and, indexing capabilities that are efficient enough to allow diagrams to be created, and manipulated in a short enough period of time. The author proposes solutions for how such a design can be realized.
A Bag of Concepts Approach for Biomedical Document Classification Using Wikipedia Knowledge.
Mouriño-García, Marcos A; Pérez-Rodríguez, Roberto; Anido-Rifón, Luis E
2017-01-01
The ability to efficiently review the existing literature is essential for the rapid progress of research. This paper describes a classifier of text documents, represented as vectors in spaces of Wikipedia concepts, and analyses its suitability for classification of Spanish biomedical documents when only English documents are available for training. We propose the cross-language concept matching (CLCM) technique, which relies on Wikipedia interlanguage links to convert concept vectors from the Spanish to the English space. The performance of the classifier is compared to several baselines: a classifier based on machine translation, a classifier that represents documents after performing Explicit Semantic Analysis (ESA), and a classifier that uses a domain-specific semantic an- notator (MetaMap). The corpus used for the experiments (Cross-Language UVigoMED) was purpose-built for this study, and it is composed of 12,832 English and 2,184 Spanish MEDLINE abstracts. The performance of our approach is superior to any other state-of-the art classifier in the benchmark, with performance increases up to: 124% over classical machine translation, 332% over MetaMap, and 60 times over the classifier based on ESA. The results have statistical significance, showing p-values < 0.0001. Using knowledge mined from Wikipedia to represent documents as vectors in a space of Wikipedia concepts and translating vectors between language-specific concept spaces, a cross-language classifier can be built, and it performs better than several state-of-the-art classifiers. Schattauer GmbH.
NASA Astrophysics Data System (ADS)
Maarif, H. A.; Akmeliawati, R.; Gunawan, T. S.; Shafie, A. A.
2013-12-01
Sign language synthesizer is a method to visualize the sign language movement from the spoken language. The sign language (SL) is one of means used by HSI people to communicate to normal people. But, unfortunately the number of people, including the HSI people, who are familiar with sign language is very limited. These cause difficulties in the communication between the normal people and the HSI people. The sign language is not only hand movement but also the face expression. Those two elements have complimentary aspect each other. The hand movement will show the meaning of each signing and the face expression will show the emotion of a person. Generally, Sign language synthesizer will recognize the spoken language by using speech recognition, the grammatical process will involve context free grammar, and 3D synthesizer will take part by involving recorded avatar. This paper will analyze and compare the existing techniques of developing a sign language synthesizer, which leads to IIUM Sign Language Synthesizer.
Thinking More or Feeling Less? Explaining the Foreign-Language Effect on Moral Judgment.
Hayakawa, Sayuri; Tannenbaum, David; Costa, Albert; Corey, Joanna D; Keysar, Boaz
2017-10-01
Would you kill one person to save five? People are more willing to accept such utilitarian action when using a foreign language than when using their native language. In six experiments, we investigated why foreign-language use affects moral choice in this way. On the one hand, the difficulty of using a foreign language might slow people down and increase deliberation, amplifying utilitarian considerations of maximizing welfare. On the other hand, use of a foreign language might stunt emotional processing, attenuating considerations of deontological rules, such as the prohibition against killing. Using a process-dissociation technique, we found that foreign-language use decreases deontological responding but does not increase utilitarian responding. This suggests that using a foreign language affects moral choice not through increased deliberation but by blunting emotional reactions associated with the violation of deontological rules.
Chronology of DIC technique based on the fundamental mathematical modeling and dehydration impact.
Alias, Norma; Saipol, Hafizah Farhah Saipan; Ghani, Asnida Che Abd
2014-12-01
A chronology of mathematical models for heat and mass transfer equation is proposed for the prediction of moisture and temperature behavior during drying using DIC (Détente Instantanée Contrôlée) or instant controlled pressure drop technique. DIC technique has the potential as most commonly used dehydration method for high impact food value including the nutrition maintenance and the best possible quality for food storage. The model is governed by the regression model, followed by 2D Fick's and Fourier's parabolic equation and 2D elliptic-parabolic equation in a rectangular slice. The models neglect the effect of shrinkage and radiation effects. The simulations of heat and mass transfer equations with parabolic and elliptic-parabolic types through some numerical methods based on finite difference method (FDM) have been illustrated. Intel®Core™2Duo processors with Linux operating system and C programming language have been considered as a computational platform for the simulation. Qualitative and quantitative differences between DIC technique and the conventional drying methods have been shown as a comparative.
Legacy model integration for enhancing hydrologic interdisciplinary research
NASA Astrophysics Data System (ADS)
Dozier, A.; Arabi, M.; David, O.
2013-12-01
Many challenges are introduced to interdisciplinary research in and around the hydrologic science community due to advances in computing technology and modeling capabilities in different programming languages, across different platforms and frameworks by researchers in a variety of fields with a variety of experience in computer programming. Many new hydrologic models as well as optimization, parameter estimation, and uncertainty characterization techniques are developed in scripting languages such as Matlab, R, Python, or in newer languages such as Java and the .Net languages, whereas many legacy models have been written in FORTRAN and C, which complicates inter-model communication for two-way feedbacks. However, most hydrologic researchers and industry personnel have little knowledge of the computing technologies that are available to address the model integration process. Therefore, the goal of this study is to address these new challenges by utilizing a novel approach based on a publish-subscribe-type system to enhance modeling capabilities of legacy socio-economic, hydrologic, and ecologic software. Enhancements include massive parallelization of executions and access to legacy model variables at any point during the simulation process by another program without having to compile all the models together into an inseparable 'super-model'. Thus, this study provides two-way feedback mechanisms between multiple different process models that can be written in various programming languages and can run on different machines and operating systems. Additionally, a level of abstraction is given to the model integration process that allows researchers and other technical personnel to perform more detailed and interactive modeling, visualization, optimization, calibration, and uncertainty analysis without requiring deep understanding of inter-process communication. To be compatible, a program must be written in a programming language with bindings to a common implementation of the message passing interface (MPI), which includes FORTRAN, C, Java, the .NET languages, Python, R, Matlab, and many others. The system is tested on a longstanding legacy hydrologic model, the Soil and Water Assessment Tool (SWAT), to observe and enhance speed-up capabilities for various optimization, parameter estimation, and model uncertainty characterization techniques, which is particularly important for computationally intensive hydrologic simulations. Initial results indicate that the legacy extension system significantly decreases developer time, computation time, and the cost of purchasing commercial parallel processing licenses, while enhancing interdisciplinary research by providing detailed two-way feedback mechanisms between various process models with minimal changes to legacy code.
Bishop, D V M; Snowling, Margaret J; Thompson, Paul A; Greenhalgh, Trisha
2016-01-01
Delayed or impaired language development is a common developmental concern, yet there is little agreement about the criteria used to identify and classify language impairments in children. Children's language difficulties are at the interface between education, medicine and the allied professions, who may all adopt different approaches to conceptualising them. Our goal in this study was to use an online Delphi technique to see whether it was possible to achieve consensus among professionals on appropriate criteria for identifying children who might benefit from specialist services. We recruited a panel of 59 experts representing ten disciplines (including education, psychology, speech-language therapy/pathology, paediatrics and child psychiatry) from English-speaking countries (Australia, Canada, Ireland, New Zealand, United Kingdom and USA). The starting point for round 1 was a set of 46 statements based on articles and commentaries in a special issue of a journal focusing on this topic. Panel members rated each statement for both relevance and validity on a seven-point scale, and added free text comments. These responses were synthesised by the first two authors, who then removed, combined or modified items with a view to improving consensus. The resulting set of statements was returned to the panel for a second evaluation (round 2). Consensus (percentage reporting 'agree' or 'strongly agree') was at least 80 percent for 24 of 27 round 2 statements, though many respondents qualified their response with written comments. These were again synthesised by the first two authors. The resulting consensus statement is reported here, with additional summary of relevant evidence, and a concluding commentary on residual disagreements and gaps in the evidence base.
Korean letter handwritten recognition using deep convolutional neural network on android platform
NASA Astrophysics Data System (ADS)
Purnamawati, S.; Rachmawati, D.; Lumanauw, G.; Rahmat, R. F.; Taqyuddin, R.
2018-03-01
Currently, popularity of Korean culture attracts many people to learn everything about Korea, particularly its language. To acquire Korean Language, every single learner needs to be able to understand Korean non-Latin character. A digital approach needs to be carried out in order to make Korean learning process easier. This study is done by using Deep Convolutional Neural Network (DCNN). DCNN performs the recognition process on the image based on the model that has been trained such as Inception-v3 Model. Subsequently, re-training process using transfer learning technique with the trained and re-trained value of model is carried though in order to develop a new model with a better performance without any specific systemic errors. The testing accuracy of this research results in 86,9%.
Optimized Temporal Monitors for SystemC
NASA Technical Reports Server (NTRS)
Tabakov, Deian; Rozier, Kristin Y.; Vardi, Moshe Y.
2012-01-01
SystemC is a modeling language built as an extension of C++. Its growing popularity and the increasing complexity of designs have motivated research efforts aimed at the verification of SystemC models using assertion-based verification (ABV), where the designer asserts properties that capture the design intent in a formal language such as PSL or SVA. The model then can be verified against the properties using runtime or formal verification techniques. In this paper we focus on automated generation of runtime monitors from temporal properties. Our focus is on minimizing runtime overhead, rather than monitor size or monitor-generation time. We identify four issues in monitor generation: state minimization, alphabet representation, alphabet minimization, and monitor encoding. We conduct extensive experimentation and identify a combination of settings that offers the best performance in terms of runtime overhead.
Neumann, K; Holler-Zittlau, I; van Minnen, S; Sick, U; Zaretsky, Y; Euler, H A
2011-01-01
The German Kindersprachscreening (KiSS) is a universal speech and language screening test for large-scale identification of Hessian kindergarten children requiring special educational language training or clinical speech/language therapy. To calculate the procedural screening validity, 257 children (aged 4.0 to 4.5 years) were tested using KiSS and four language tests (Reynell Development Language Scales III, Patholinguistische Diagnostik, PLAKSS, AWST-R). The majority or consensus judgements of three speech-language professionals, based on the language test results, served as a reference criterion. The base (fail) rates of the professionals were either self-determined or preset based on known prevalence rates. Screening validity was higher for preset than for self-determined base rates due to higher inter-judge agreement. The confusion matrices of the overall index classification of the KiSS (speech-language abnormalities with educational or clinical needs) with the fixed base rate expert judgement about language impairment, including fluency or voice disorders, yielded a sensitivity of 88% and a specificity of 78%, for just language impairment 84% and 75%, respectively. Specificities for disorders requiring clinical diagnostics in the KiSS (language impairment alone or combined with fluency/voice disorders) related to the test-based consensus expert judgment was about 93%. Sensitivities were unsatisfactory because the differentiation between educational and clinical needs requires improvement. Since the judgement concordances between the speech-language professionals was only moderate, the development of a comprehensive German reference test for speech and language disorders with evidence-based algorithmic decision rules rather than subjective clinical judgement is advocated.
Adaptation of machine translation for multilingual information retrieval in the medical domain.
Pecina, Pavel; Dušek, Ondřej; Goeuriot, Lorraine; Hajič, Jan; Hlaváčová, Jaroslava; Jones, Gareth J F; Kelly, Liadh; Leveling, Johannes; Mareček, David; Novák, Michal; Popel, Martin; Rosa, Rudolf; Tamchyna, Aleš; Urešová, Zdeňka
2014-07-01
We investigate machine translation (MT) of user search queries in the context of cross-lingual information retrieval (IR) in the medical domain. The main focus is on techniques to adapt MT to increase translation quality; however, we also explore MT adaptation to improve effectiveness of cross-lingual IR. Our MT system is Moses, a state-of-the-art phrase-based statistical machine translation system. The IR system is based on the BM25 retrieval model implemented in the Lucene search engine. The MT techniques employed in this work include in-domain training and tuning, intelligent training data selection, optimization of phrase table configuration, compound splitting, and exploiting synonyms as translation variants. The IR methods include morphological normalization and using multiple translation variants for query expansion. The experiments are performed and thoroughly evaluated on three language pairs: Czech-English, German-English, and French-English. MT quality is evaluated on data sets created within the Khresmoi project and IR effectiveness is tested on the CLEF eHealth 2013 data sets. The search query translation results achieved in our experiments are outstanding - our systems outperform not only our strong baselines, but also Google Translate and Microsoft Bing Translator in direct comparison carried out on all the language pairs. The baseline BLEU scores increased from 26.59 to 41.45 for Czech-English, from 23.03 to 40.82 for German-English, and from 32.67 to 40.82 for French-English. This is a 55% improvement on average. In terms of the IR performance on this particular test collection, a significant improvement over the baseline is achieved only for French-English. For Czech-English and German-English, the increased MT quality does not lead to better IR results. Most of the MT techniques employed in our experiments improve MT of medical search queries. Especially the intelligent training data selection proves to be very successful for domain adaptation of MT. Certain improvements are also obtained from German compound splitting on the source language side. Translation quality, however, does not appear to correlate with the IR performance - better translation does not necessarily yield better retrieval. We discuss in detail the contribution of the individual techniques and state-of-the-art features and provide future research directions. Copyright © 2014 Elsevier B.V. All rights reserved.
R, Elakkiya; K, Selvamani
2017-09-22
Subunit segmenting and modelling in medical sign language is one of the important studies in linguistic-oriented and vision-based Sign Language Recognition (SLR). Many efforts were made in the precedent to focus the functional subunits from the view of linguistic syllables but the problem is implementing such subunit extraction using syllables is not feasible in real-world computer vision techniques. And also, the present recognition systems are designed in such a way that it can detect the signer dependent actions under restricted and laboratory conditions. This research paper aims at solving these two important issues (1) Subunit extraction and (2) Signer independent action on visual sign language recognition. Subunit extraction involved in the sequential and parallel breakdown of sign gestures without any prior knowledge on syllables and number of subunits. A novel Bayesian Parallel Hidden Markov Model (BPaHMM) is introduced for subunit extraction to combine the features of manual and non-manual parameters to yield better results in classification and recognition of signs. Signer independent action aims in using a single web camera for different signer behaviour patterns and for cross-signer validation. Experimental results have proved that the proposed signer independent subunit level modelling for sign language classification and recognition has shown improvement and variations when compared with other existing works.
A computational language approach to modeling prose recall in schizophrenia
Rosenstein, Mark; Diaz-Asper, Catherine; Foltz, Peter W.; Elvevåg, Brita
2014-01-01
Many cortical disorders are associated with memory problems. In schizophrenia, verbal memory deficits are a hallmark feature. However, the exact nature of this deficit remains elusive. Modeling aspects of language features used in memory recall have the potential to provide means for measuring these verbal processes. We employ computational language approaches to assess time-varying semantic and sequential properties of prose recall at various retrieval intervals (immediate, 30 min and 24 h later) in patients with schizophrenia, unaffected siblings and healthy unrelated control participants. First, we model the recall data to quantify the degradation of performance with increasing retrieval interval and the effect of diagnosis (i.e., group membership) on performance. Next we model the human scoring of recall performance using an n-gram language sequence technique, and then with a semantic feature based on Latent Semantic Analysis. These models show that automated analyses of the recalls can produce scores that accurately mimic human scoring. The final analysis addresses the validity of this approach by ascertaining the ability to predict group membership from models built on the two classes of language features. Taken individually, the semantic feature is most predictive, while a model combining the features improves accuracy of group membership prediction slightly above the semantic feature alone as well as over the human rating approach. We discuss the implications for cognitive neuroscience of such a computational approach in exploring the mechanisms of prose recall. PMID:24709122
Written Narrative Characteristics in Adults with Language Impairment
ERIC Educational Resources Information Center
Suddarth, Rachael; Plante, Elena; Vance, Rebecca
2012-01-01
Purpose: Adults with language-based disabilities are known to have deficits in oral language; however, less is known about their written language skills. Two studies were designed to characterize the writing of adults with language-based disabilities. Method: In Study 1, 60 adults, 30 with language impairment and 30 with typical language,…
Video Production in the English Language Arts Classroom.
ERIC Educational Resources Information Center
Lund, Donna Joan
1998-01-01
Argues that teaching video production techniques in high-school English classes achieves the goals of language arts proficiency, media literacy, and student self-realization. Discusses preproduction; information search; script and storyboard; writing activities; oral communication activities; teamwork; aesthetic judgment; media literacy; affective…
Process-oriented Approach to Designing Immersion Assessments
2014-02-01
Command (USSOCOM) Command Language Program Manager (CLPM) Advanced Competencies Course in a presentation titled, The Language Needs Assessment Process and...Techniques can be very similar • Physical v. psychological fidelity • Johns (2006) Discrete Context—task, social and physical • 4Ps : Purpose
Rational Cloze and Retrospection: Insights into First and Second Language Reading Comprehension.
ERIC Educational Resources Information Center
MacLean, Margaret; d'Anglejan, Alison
1986-01-01
Reports a study which investigated the use of rational cloze procedure in conjunction with retrospection or introspection assessment techniques to examine how individuals understand text in both first and second languages, especially the use of contextual constraints. (MSE)
Rehabilitation of language in expressive aphasias: a literature review
da Fontoura, Denise Ren; Rodrigues, Jaqueline de Carvalho; Carneiro, Luciana Behs de Sá; Monção, Ana Maria; de Salles, Jerusa Fumagalli
2012-01-01
Objective This paper reviews the methodological characteristics of studies on rehabilitation of expressive aphasia, describing the techniques of rehabilitation used. Methods The databases Medline, Science Direct and PubMed were searched for relevant articles (January 1999 to December 2011) using the keywords Expressive / Broca / Nonfluent Aphasia, combined with Language or Speech Rehabilitation / Therapy / Intervention. Results A total of 56 articles were retrieved describing rehabilitation techniques, including 22 with a focus on lexical processing, 18 on syntax stimulation, seven with the aim of developing speech and nine with multiple foci. Conclusion A variety of techniques and theoretical approaches are available, highlighting the heterogeneity of research in this area. This diversity can be justified by the uniqueness of patients' language deficits, making it difficult to generalize. In addition, there is a need to combine the formal measures of tests with measures of pragmatic and social skills of communication to determine the effect of rehabilitation on the patient's daily life. PMID:29213802
Advances in natural language processing.
Hirschberg, Julia; Manning, Christopher D
2015-07-17
Natural language processing employs computational techniques for the purpose of learning, understanding, and producing human language content. Early computational approaches to language research focused on automating the analysis of the linguistic structure of language and developing basic technologies such as machine translation, speech recognition, and speech synthesis. Today's researchers refine and make use of such tools in real-world applications, creating spoken dialogue systems and speech-to-speech translation engines, mining social media for information about health or finance, and identifying sentiment and emotion toward products and services. We describe successes and challenges in this rapidly advancing area. Copyright © 2015, American Association for the Advancement of Science.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Reid, E.E.
1970-01-01
The thesis of this book is that one can learn a surprising amount of information from scientific articles in a foreign language. Use is made of symbols, numbers, etc., (which appear in familiar Roman script) and words that are similar in many languages (e.g., reaction, reazione, reaccion, reactie, reaccao, reaktion, reaksjon, reaktionen, reakcio, rektio, reaktsiya, reakcja, and reakce). Most European languages (Germanic, Latin, et al.) are included, with special emphasis on Russian and Japanese. The technique is illustrated with examples from organic chemistry, but the approach should be applicable to scientific writing in any subject area. (RWR)
Electronic Circuit Analysis Language (ECAL)
NASA Astrophysics Data System (ADS)
Chenghang, C.
1983-03-01
The computer aided design technique is an important development in computer applications and it is an important component of computer science. The special language for electronic circuit analysis is the foundation of computer aided design or computer aided circuit analysis (abbreviated as CACD and CACA) of simulated circuits. Electronic circuit analysis language (ECAL) is a comparatively simple and easy to use circuit analysis special language which uses the FORTRAN language to carry out the explanatory executions. It is capable of conducting dc analysis, ac analysis, and transient analysis of a circuit. Futhermore, the results of the dc analysis can be used directly as the initial conditions for the ac and transient analyses.
Evaluation of verifiability in HAL/S. [programming language for aerospace computers
NASA Technical Reports Server (NTRS)
Young, W. D.; Tripathi, A. R.; Good, D. I.; Browne, J. C.
1979-01-01
The ability of HAL/S to write verifiable programs, a characteristic which is highly desirable in aerospace applications, is lacking since many of the features of HAL/S do not lend themselves to existing verification techniques. The methods of language evaluation are described along with the means in which language features are evaluated for verifiability. These methods are applied in this study to various features of HAL/S to identify specific areas in which the language fails with respect to verifiability. Some conclusions are drawn for the design of programming languages for aerospace applications and ongoing work to identify a verifiable subset of HAL/S is described.
Natural language from artificial life.
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.
Exploiting domain information for Word Sense Disambiguation of medical documents.
Stevenson, Mark; Agirre, Eneko; Soroa, Aitor
2012-01-01
Current techniques for knowledge-based Word Sense Disambiguation (WSD) of ambiguous biomedical terms rely on relations in the Unified Medical Language System Metathesaurus but do not take into account the domain of the target documents. The authors' goal is to improve these methods by using information about the topic of the document in which the ambiguous term appears. The authors proposed and implemented several methods to extract lists of key terms associated with Medical Subject Heading terms. These key terms are used to represent the document topic in a knowledge-based WSD system. They are applied both alone and in combination with local context. A standard measure of accuracy was calculated over the set of target words in the widely used National Library of Medicine WSD dataset. The authors report a significant improvement when combining those key terms with local context, showing that domain information improves the results of a WSD system based on the Unified Medical Language System Metathesaurus alone. The best results were obtained using key terms obtained by relevance feedback and weighted by inverse document frequency.
Exploiting domain information for Word Sense Disambiguation of medical documents
Agirre, Eneko; Soroa, Aitor
2011-01-01
Objective Current techniques for knowledge-based Word Sense Disambiguation (WSD) of ambiguous biomedical terms rely on relations in the Unified Medical Language System Metathesaurus but do not take into account the domain of the target documents. The authors' goal is to improve these methods by using information about the topic of the document in which the ambiguous term appears. Design The authors proposed and implemented several methods to extract lists of key terms associated with Medical Subject Heading terms. These key terms are used to represent the document topic in a knowledge-based WSD system. They are applied both alone and in combination with local context. Measurements A standard measure of accuracy was calculated over the set of target words in the widely used National Library of Medicine WSD dataset. Results and discussion The authors report a significant improvement when combining those key terms with local context, showing that domain information improves the results of a WSD system based on the Unified Medical Language System Metathesaurus alone. The best results were obtained using key terms obtained by relevance feedback and weighted by inverse document frequency. PMID:21900701
ERIC Educational Resources Information Center
Rosman, Fuziah; Alias, Norlidah; Rahman, Mohd Nazri Abdul; Dewitt, Dorothy
2015-01-01
This study aims at reviewing the curriculum design by including video games in the implementation of the Malay language course at an Institute of Higher Learning. The objective of this study is to obtain expert opinion on the expected manner of implementation of video games in learning the Malay language. The Fuzzy Delphi technique (FDM) is used…
2014-09-01
Award Number: W81XWH-13-1-0293 TITLE: An MEG Investigation of Neural Biomarkers and Language in...SUBTITLE 5a. CONTRACT NUMBER An MEG Investigation of Neural Biomarkers and Language in Nonverbal Children with Autism Spectrum Disorders 5b...technique to correct MEG data for subject movement during recording. This correction reduces signal loss due to movement, resulting in higher
Task-Based EFL Language Teaching with Procedural Information Design in a Technical Writing Context
ERIC Educational Resources Information Center
Roy, Debopriyo
2017-01-01
Task-based language learning (TBLL) has heavily influenced syllabus design, classroom teaching, and learner assessment in a foreign or second language teaching context. In this English as foreign language (EFL) learning environment, the paper discussed an innovative language learning pedagogy based on design education and technical writing. In…
Task-Based Language Teaching Online: A Guide for Teachers
ERIC Educational Resources Information Center
Baralt, Melissa; Gómez, José Morcillo
2017-01-01
Technology-mediated task-based language teaching is the merger between technology and task-based language teaching (TBLT; González-Lloret & Ortega, 2014) and is arguably now an imperative for language education. As language classrooms are being redefined, training for how to set learners up to successfully do tasks online must be part of…
Quantifying repetitive speech in autism spectrum disorders and language impairment.
van Santen, Jan P H; Sproat, Richard W; Hill, Alison Presmanes
2013-10-01
We report on an automatic technique for quantifying two types of repetitive speech: repetitions of what the child says him/herself (self-repeats) and of what is uttered by an interlocutor (echolalia). We apply this technique to a sample of 111 children between the ages of four and eight: 42 typically developing children (TD), 19 children with specific language impairment (SLI), 25 children with autism spectrum disorders (ASD) plus language impairment (ALI), and 25 children with ASD with normal, non-impaired language (ALN). The results indicate robust differences in echolalia between the TD and ASD groups as a whole (ALN + ALI), and between TD and ALN children. There were no significant differences between ALI and SLI children for echolalia or self-repetitions. The results confirm previous findings that children with ASD repeat the language of others more than other populations of children. On the other hand, self-repetition does not appear to be significantly more frequent in ASD, nor does it matter whether the child's echolalia occurred within one (immediate) or two turns (near-immediate) of the adult's original utterance. Furthermore, non-significant differences between ALN and SLI, between TD and SLI, and between ALI and TD are suggestive that echolalia may not be specific to ALN or to ASD in general. One important innovation of this work is an objective fully automatic technique for assessing the amount of repetition in a transcript of a child's utterances. © 2013 International Society for Autism Research, Wiley Periodicals, Inc.
Quantifying Repetitive Speech in Autism Spectrum Disorders and Language Impairment
van Santen, Jan P. H.; Sproat, Richard W.; Hill, Alison Presmanes
2013-01-01
We report on an automatic technique for quantifying two types of repetitive speech: repetitions of what the child says him/herself (self-repeats) and of what is uttered by an interlocutor (echolalia). We apply this technique to a sample of 111 children between the ages of four and eight: 42 typically developing children (TD), 19 children with specific language impairment (SLI), 25 children with autism spectrum disorders (ASD) plus language impairment (ALI), and 25 children with ASD with normal, non-impaired language (ALN). The results indicate robust differences in echolalia between the TD and ASD groups as a whole (ALN + ALI), and between TD and ALN children. There were no significant differences between ALI and SLI children for echolalia or self-repetitions. The results confirm previous findings that children with ASD repeat the language of others more than other populations of children. On the other hand, self-repetition does not appear to be significantly more frequent in ASD, nor does it matter whether the child’s echolalia occurred within one (immediate) or two turns (near-immediate) of the adult’s original utterance. Furthermore, non-significant differences between ALN and SLI, between TD and SLI, and between ALI and TD are suggestive that echolalia may not be specific to ALN or to ASD in general. One important innovation of this work is an objective fully automatic technique for assessing the amount of repetition in a transcript of a child’s utterances. PMID:23661504
Exploiting Language Models to Classify Events from Twitter
Vo, Duc-Thuan; Hai, Vo Thuan; Ock, Cheol-Young
2015-01-01
Classifying events is challenging in Twitter because tweets texts have a large amount of temporal data with a lot of noise and various kinds of topics. In this paper, we propose a method to classify events from Twitter. We firstly find the distinguishing terms between tweets in events and measure their similarities with learning language models such as ConceptNet and a latent Dirichlet allocation method for selectional preferences (LDA-SP), which have been widely studied based on large text corpora within computational linguistic relations. The relationship of term words in tweets will be discovered by checking them under each model. We then proposed a method to compute the similarity between tweets based on tweets' features including common term words and relationships among their distinguishing term words. It will be explicit and convenient for applying to k-nearest neighbor techniques for classification. We carefully applied experiments on the Edinburgh Twitter Corpus to show that our method achieves competitive results for classifying events. PMID:26451139
Decision blocks: A tool for automating decision making in CLIPS
NASA Technical Reports Server (NTRS)
Eick, Christoph F.; Mehta, Nikhil N.
1991-01-01
The human capability of making complex decision is one of the most fascinating facets of human intelligence, especially if vague, judgemental, default or uncertain knowledge is involved. Unfortunately, most existing rule based forward chaining languages are not very suitable to simulate this aspect of human intelligence, because of their lack of support for approximate reasoning techniques needed for this task, and due to the lack of specific constructs to facilitate the coding of frequently reoccurring decision block to provide better support for the design and implementation of rule based decision support systems. A language called BIRBAL, which is defined on the top of CLIPS, for the specification of decision blocks, is introduced. Empirical experiments involving the comparison of the length of CLIPS program with the corresponding BIRBAL program for three different applications are surveyed. The results of these experiments suggest that for decision making intensive applications, a CLIPS program tends to be about three times longer than the corresponding BIRBAL program.
Iglesias-Parra, Maria Rosa; García-Guerrero, Alfonso; García-Mayor, Silvia; Kaknani-Uttumchandani, Shakira; León-Campos, Álvaro; Morales-Asencio, José Miguel
2015-07-01
To develop an evaluation system of clinical competencies for the practicum of nursing students based on the Nursing Interventions Classification (NIC). Psychometric validation study: the first two phases addressed definition and content validation, and the third phase consisted of a cross-sectional study for analyzing reliability. The study population was undergraduate nursing students and clinical tutors. Through the Delphi technique, 26 competencies and 91 interventions were isolated. Cronbach's α was 0.96. Factor analysis yielded 18 factors that explained 68.82% of the variance. Overall inter-item correlation was 0.26, and total-item correlation ranged between 0.66 and 0.19. A competency system for the nursing practicum, structured on the NIC, is a reliable method for assessing and evaluating clinical competencies. Further evaluations in other contexts are needed. The availability of standardized language systems in the nursing discipline supposes an ideal framework to develop the nursing curricula. © 2015 Sigma Theta Tau International.
Language Model Combination and Adaptation Using Weighted Finite State Transducers
NASA Technical Reports Server (NTRS)
Liu, X.; Gales, M. J. F.; Hieronymus, J. L.; Woodland, P. C.
2010-01-01
In speech recognition systems language model (LMs) are often constructed by training and combining multiple n-gram models. They can be either used to represent different genres or tasks found in diverse text sources, or capture stochastic properties of different linguistic symbol sequences, for example, syllables and words. Unsupervised LM adaption may also be used to further improve robustness to varying styles or tasks. When using these techniques, extensive software changes are often required. In this paper an alternative and more general approach based on weighted finite state transducers (WFSTs) is investigated for LM combination and adaptation. As it is entirely based on well-defined WFST operations, minimum change to decoding tools is needed. A wide range of LM combination configurations can be flexibly supported. An efficient on-the-fly WFST decoding algorithm is also proposed. Significant error rate gains of 7.3% relative were obtained on a state-of-the-art broadcast audio recognition task using a history dependently adapted multi-level LM modelling both syllable and word sequences
Ada and the rapid development lifecycle
NASA Technical Reports Server (NTRS)
Deforrest, Lloyd; Gref, Lynn
1991-01-01
JPL is under contract, through NASA, with the US Army to develop a state-of-the-art Command Center System for the US European Command (USEUCOM). The Command Center System will receive, process, and integrate force status information from various sources and provide this integrated information to staff officers and decision makers in a format designed to enhance user comprehension and utility. The system is based on distributed workstation class microcomputers, VAX- and SUN-based data servers, and interfaces to existing military mainframe systems and communication networks. JPL is developing the Command Center System utilizing an incremental delivery methodology called the Rapid Development Methodology with adherence to government and industry standards including the UNIX operating system, X Windows, OSF/Motif, and the Ada programming language. Through a combination of software engineering techniques specific to the Ada programming language and the Rapid Development Approach, JPL was able to deliver capability to the military user incrementally, with comparable quality and improved economies of projects developed under more traditional software intensive system implementation methodologies.
Towards health care process description framework: an XML DTD design.
Staccini, P.; Joubert, M.; Quaranta, J. F.; Aymard, S.; Fieschi, D.; Fieschi, M.
2001-01-01
The development of health care and hospital information systems has to meet users needs as well as requirements such as the tracking of all care activities and the support of quality improvement. The use of process-oriented analysis is of-value to provide analysts with: (i) a systematic description of activities; (ii) the elicitation of the useful data to perform and record care tasks; (iii) the selection of relevant decision-making support. But paper-based tools are not a very suitable way to manage and share the documentation produced during this step. The purpose of this work is to propose a method to implement the results of process analysis according to XML techniques (eXtensible Markup Language). It is based on the IDEF0 activity modeling language (Integration DEfinition for Function modeling). A hierarchical description of a process and its components has been defined through a flat XML file with a grammar of proper metadata tags. Perspectives of this method are discussed. PMID:11825265
OpenCL-based vicinity computation for 3D multiresolution mesh compression
NASA Astrophysics Data System (ADS)
Hachicha, Soumaya; Elkefi, Akram; Ben Amar, Chokri
2017-03-01
3D multiresolution mesh compression systems are still widely addressed in many domains. These systems are more and more requiring volumetric data to be processed in real-time. Therefore, the performance is becoming constrained by material resources usage and an overall reduction in the computational time. In this paper, our contribution entirely lies on computing, in real-time, triangles neighborhood of 3D progressive meshes for a robust compression algorithm based on the scan-based wavelet transform(WT) technique. The originality of this latter algorithm is to compute the WT with minimum memory usage by processing data as they are acquired. However, with large data, this technique is considered poor in term of computational complexity. For that, this work exploits the GPU to accelerate the computation using OpenCL as a heterogeneous programming language. Experiments demonstrate that, aside from the portability across various platforms and the flexibility guaranteed by the OpenCL-based implementation, this method can improve performance gain in speedup factor of 5 compared to the sequential CPU implementation.
FLAX: Flexible and Open Corpus-Based Language Collections Development
ERIC Educational Resources Information Center
Fitzgerald, Alannah; Wu, Shaoqun; Marín, María José
2015-01-01
In this case study we present innovative work in building open corpus-based language collections by focusing on a description of the opensource multilingual Flexible Language Acquisition (FLAX) language project, which is an ongoing example of open materials development practices for language teaching and learning. We present language-learning…
Solving Constraint-Satisfaction Problems In Prolog Language
NASA Technical Reports Server (NTRS)
Nachtsheim, Philip R.
1991-01-01
Technique for solution of constraint-satisfaction problems uses definite-clause grammars of Prolog computer language. Exploits fact that grammar-rule notation viewed as "state-change notation". Facilitates development of dynamic representation performing informed as well as blind searches. Applicable to design, scheduling, and planning problems.
Software and languages for microprocessors
NASA Astrophysics Data System (ADS)
Williams, David O.
1986-08-01
This paper forms the basis for lectures given at the 6th Summer School on Computing Techniques in Physics, organised by the Computational Physics group of the European Physics Society, and held at the Hotel Ski, Nové Město na Moravě, Czechoslovakia, on 17-26 September 1985. Various types of microprocessor applications are discussed and the main emphasis of the paper is devoted to 'embedded' systems, where the software development is not carried out on the target microprocessor. Some information is provided on the general characteristics of microprocessor hardware. Various types of microprocessor operating system are compared and contrasted. The selection of appropriate languages and software environments for use with microprocessors is discussed. Mechanisms for interworking between different languages, including reasonable error handling, are treated. The CERN developed cross-software suite for the Motorola 68000 family is described. Some remarks are made concerning program tools applicable to microprocessors. PILS, a Portable Interactive Language System, which can be interpreted or compiled for a range of microprocessors, is described in some detail, and the implementation techniques are discussed.
Neural networks for sign language translation
NASA Astrophysics Data System (ADS)
Wilson, Beth J.; Anspach, Gretel
1993-09-01
A neural network is used to extract relevant features of sign language from video images of a person communicating in American Sign Language or Signed English. The key features are hand motion, hand location with respect to the body, and handshape. A modular hybrid design is under way to apply various techniques, including neural networks, in the development of a translation system that will facilitate communication between deaf and hearing people. One of the neural networks described here is used to classify video images of handshapes into their linguistic counterpart in American Sign Language. The video image is preprocessed to yield Fourier descriptors that encode the shape of the hand silhouette. These descriptors are then used as inputs to a neural network that classifies their shapes. The network is trained with various examples from different signers and is tested with new images from new signers. The results have shown that for coarse handshape classes, the network is invariant to the type of camera used to film the various signers and to the segmentation technique.
Song, Min; Yu, Hwanjo; Han, Wook-Shin
2011-11-24
Protein-protein interaction (PPI) extraction has been a focal point of many biomedical research and database curation tools. Both Active Learning and Semi-supervised SVMs have recently been applied to extract PPI automatically. In this paper, we explore combining the AL with the SSL to improve the performance of the PPI task. We propose a novel PPI extraction technique called PPISpotter by combining Deterministic Annealing-based SSL and an AL technique to extract protein-protein interaction. In addition, we extract a comprehensive set of features from MEDLINE records by Natural Language Processing (NLP) techniques, which further improve the SVM classifiers. In our feature selection technique, syntactic, semantic, and lexical properties of text are incorporated into feature selection that boosts the system performance significantly. By conducting experiments with three different PPI corpuses, we show that PPISpotter is superior to the other techniques incorporated into semi-supervised SVMs such as Random Sampling, Clustering, and Transductive SVMs by precision, recall, and F-measure. Our system is a novel, state-of-the-art technique for efficiently extracting protein-protein interaction pairs.
Procedures for Obtaining and Analyzing Writing Samples of School-Age Children and Adolescents.
Price, Johanna R; Jackson, Sandra C
2015-10-01
Many students' writing skills are below grade-level expectations, and students with oral language difficulties are at particular risk for writing difficulties. Speech-language pathologists' (SLPs') expertise in language applies to both the oral and written modalities, yet evidence suggests that SLPs' confidence regarding writing assessment is low. Writing samples are a clinically useful, criterion-referenced assessment technique that is relevant to helping students satisfy writing-related requirements of the Common Core State Standards (National Governors Association Center for Best Practices and Council of Chief State School Officers, 2010a). This article provides recommendations for obtaining and analyzing students' writing samples. In this tutorial, the authors provide a comprehensive literature review of methods regarding (a) collection of writing samples from narrative, expository (informational/explanatory), and persuasive (argument) genres; (b) variables of writing performance that are useful to assess; and (c) manual and computer-aided techniques for analyzing writing samples. The authors relate their findings to expectations for writing skills expressed in the Common Core State Standards (National Governors Association Center for Best Practices & Council of Chief State School Officers, 2010a). SLPs can readily implement many techniques for obtaining and analyzing writing samples. The information in this article provides SLPs with recommendations for the use of writing samples and may help increase SLPs' confidence regarding written language assessment.
Quantifying the driving factors for language shift in a bilingual region.
Prochazka, Katharina; Vogl, Gero
2017-04-25
Many of the world's around 6,000 languages are in danger of disappearing as people give up use of a minority language in favor of the majority language in a process called language shift. Language shift can be monitored on a large scale through the use of mathematical models by way of differential equations, for example, reaction-diffusion equations. Here, we use a different approach: we propose a model for language dynamics based on the principles of cellular automata/agent-based modeling and combine it with very detailed empirical data. Our model makes it possible to follow language dynamics over space and time, whereas existing models based on differential equations average over space and consequently provide no information on local changes in language use. Additionally, cellular automata models can be used even in cases where models based on differential equations are not applicable, for example, in situations where one language has become dispersed and retreated to language islands. Using data from a bilingual region in Austria, we show that the most important factor in determining the spread and retreat of a language is the interaction with speakers of the same language. External factors like bilingual schools or parish language have only a minor influence.
Optimal Discrete Event Supervisory Control of Aircraft Gas Turbine Engines
NASA Technical Reports Server (NTRS)
Litt, Jonathan (Technical Monitor); Ray, Asok
2004-01-01
This report presents an application of the recently developed theory of optimal Discrete Event Supervisory (DES) control that is based on a signed real measure of regular languages. The DES control techniques are validated on an aircraft gas turbine engine simulation test bed. The test bed is implemented on a networked computer system in which two computers operate in the client-server mode. Several DES controllers have been tested for engine performance and reliability.
2016-06-01
characteristics, experimental design techniques, and analysis methodologies that distinguish each phase of the MBSE MEASA. To ensure consistency... methodology . Experimental design selection, simulation analysis, and trade space analysis support the final two stages. Figure 27 segments the MBSE MEASA...rounding has the potential to increase the correlation between columns of the experimental design matrix. The design methodology presented in Vieira
Applications of orofacial myofunctional techniques to speech therapy.
Landis, C F
1994-11-01
A speech-language pathologist describes how she uses oral myofunctional therapy techniques in the treatment of speech articulation disorders, voice disorders, stuttering and apraxia of speech. Specific exercises are detailed.
Tools reference manual for a Requirements Specification Language (RSL), version 2.0
NASA Technical Reports Server (NTRS)
Fisher, Gene L.; Cohen, Gerald C.
1993-01-01
This report describes a general-purpose Requirements Specification Language, RSL. The purpose of RSL is to specify precisely the external structure of a mechanized system and to define requirements that the system must meet. A system can be comprised of a mixture of hardware, software, and human processing elements. RSL is a hybrid of features found in several popular requirements specification languages, such as SADT (Structured Analysis and Design Technique), PSL (Problem Statement Language), and RMF (Requirements Modeling Framework). While languages such as these have useful features for structuring a specification, they generally lack formality. To overcome the deficiencies of informal requirements languages, RSL has constructs for formal mathematical specification. These constructs are similar to those found in formal specification languages such as EHDM (Enhanced Hierarchical Development Methodology), Larch, and OBJ3.
ERIC Educational Resources Information Center
McKee, John M.; And Others
Many people take for granted the use of language as a tool for coping with everyday occupational and social problems. However, there are those, such as prison inmates, who have difficulty using language in this manner. Realizing that prison inmates are not always able to communicate effectively through standard patterns of speech and thus are…
Automatic indexing of compound words based on mutual information for Korean text retrieval
DOE Office of Scientific and Technical Information (OSTI.GOV)
Pan Koo Kim; Yoo Kun Cho
In this paper, we present an automatic indexing technique for compound words suitable to an aggulutinative language, specifically Korean. Firstly, we present the construction conditions to compose compound words as indexing terms. Also we present the decomposition rules applicable to consecutive nouns to extract all contents of text. Finally we propose a measure to estimate the usefulness of a term, mutual information, to calculate the degree of word association of compound words, based on the information theoretic notion. By applying this method, our system has raised the precision rate of compound words from 72% to 87%.
Perceived ethnic and language-based discrimination and Latina immigrant women's health.
Halim, May Ling; Moy, Keith H; Yoshikawa, Hirokazu
2017-01-01
Perceiving ethnic discrimination can have aversive consequences for health. However, little is known about whether perceiving language-based (how one speaks a second language) discrimination poses the same risks. This study examined whether perceptions of language-based and ethnic discrimination are associated with mental and physical health. Among 132 Mexican and Dominican immigrant women, perceiving ethnic and language-based discrimination each predicted psychological distress and poorer physical health. When examined together, only ethnic discrimination remained a significant predictor. These results emphasize the importance of understanding how perceived ethnic and language-based discrimination play an integral role in the health of Latina immigrant women.
Automatic home medical product recommendation.
Luo, Gang; Thomas, Selena B; Tang, Chunqiang
2012-04-01
Web-based personal health records (PHRs) are being widely deployed. To improve PHR's capability and usability, we proposed the concept of intelligent PHR (iPHR). In this paper, we use automatic home medical product recommendation as a concrete application to demonstrate the benefits of introducing intelligence into PHRs. In this new application domain, we develop several techniques to address the emerging challenges. Our approach uses treatment knowledge and nursing knowledge, and extends the language modeling method to (1) construct a topic-selection input interface for recommending home medical products, (2) produce a global ranking of Web pages retrieved by multiple queries, and (3) provide diverse search results. We demonstrate the effectiveness of our techniques using USMLE medical exam cases.
Advantage Girls: A Look at Women's Language in the Classroom
ERIC Educational Resources Information Center
Meliza, Evette
2009-01-01
While others have focused on gender-based language and the workplace, this research study explores gender-based language, in this case women's language, and the classroom. The study specifically examines examples of women's language and how this language affects student response in the classroom. Five variables have been identified as…
A Review of Research on Content-Based Foreign/Second Language Education in US K-12 Contexts
ERIC Educational Resources Information Center
Tedick, Diane J.; Wesely, Pamela M.
2015-01-01
This review of the extant research literature focuses on research about content-based language instruction (CBI) programmes in K-12 foreign/second language education in the USA. The review emphasises studies on one-way language immersion (OWI) and two-way language immersion (TWI) programmes, which are school-based and subject matter-driven. OWI…
NASA Technical Reports Server (NTRS)
Murray, Alex; Eng, Bjorn; Leff, Craig; Schwarz, Arnold
1997-01-01
In the development environment for ASTER level II product generation system, techniques have been incorporated to allow automated information sharing among all system elements, and to enable the use of sound software engineering techniques in the scripting languages.
Eliciting Spontaneous Speech in Bilingual Students: Methods & Techniques.
ERIC Educational Resources Information Center
Cornejo, Ricardo J.; And Others
Intended to provide practical information pertaining to methods and techniques for speech elicitation and production, the monograph offers specific methods and techniques to elicit spontaneous speech in bilingual students. Chapter 1, "Traditional Methodologies for Language Production and Recording," presents an overview of studies using…
Experiencing Language: Phenomenography and Second Language Acquisition
ERIC Educational Resources Information Center
Polat, Brittany
2013-01-01
In educational psychology and other fields connected with education, the research technique known as phenomenography has long been used to investigate student perceptions of learning and how those perceptions impact what is learned. Although phenomenography has not yet been accepted as a mainstream methodological approach in second language…
Auditory Processing Disorder and Foreign Language Acquisition
ERIC Educational Resources Information Center
Veselovska, Ganna
2015-01-01
This article aims at exploring various strategies for coping with the auditory processing disorder in the light of foreign language acquisition. The techniques relevant to dealing with the auditory processing disorder can be attributed to environmental and compensatory approaches. The environmental one involves actions directed at creating a…
Linking Language Assessments: An Example in a Low Stakes Context.
ERIC Educational Resources Information Center
North, Brian
2000-01-01
Linking language assessments is a matter of greater concern with the advent of educational frameworks used to orient curricula and profile attainment. Outlines practical ways the principles of techniques recognized for linking separate assessments--equating, calibrating, statistical moderation, predicting (or benchmarking), and social moderation…