Chiu, Ming-Jang; Liu, Kristina; Hsieh, Ming H; Hwu, Hai-Gwo
2005-12-12
Implicit learning was reported to be intact in schizophrenia using artificial grammar learning. However, emerging evidence indicates that artificial grammar learning is not a unitary process. The authors used dual coding stimuli and schizophrenia clinical symptom dimensions to re-evaluate the effect of schizophrenia on various components of artificial grammar learning. Letter string and color pattern artificial grammar learning performances were compared between 63 schizophrenic patients and 27 comparison subjects. Four symptom dimensions derived from a Chinese Positive and Negative Symptom Scale ratings were correlated with patients' artificial grammar implicit learning performances along the two stimulus dimensions. Patients' explicit memory performances were assessed by verbal paired associates and visual reproduction subtests of the Wechsler Memory Scales Revised Version to provide a contrast to their implicit memory function. Schizophrenia severely hindered color pattern artificial grammar learning while the disease affected lexical string artificial grammar learning to a lesser degree after correcting the influences from age, education and the performance of explicit memory function of both verbal and visual modalities. Both learning performances correlated significantly with the severity of patients' schizophrenic clinical symptom dimensions that reflect poor abstract thinking, disorganized thinking, and stereotyped thinking. The results of this study suggested that schizophrenia affects various mechanisms of artificial grammar learning differently. Implicit learning, knowledge acquisition in the absence of conscious awareness, is not entirely intact in patients with schizophrenia. Schizophrenia affects implicit learning through an impairment of the ability of making abstractions from rules and at least in part decreasing the capacity for perceptual learning.
Katan, Pesia; Kahta, Shani; Sasson, Ayelet; Schiff, Rachel
2017-07-01
Graph complexity as measured by topological entropy has been previously shown to affect performance on artificial grammar learning tasks among typically developing children. The aim of this study was to examine the effect of graph complexity on implicit sequential learning among children with developmental dyslexia. Our goal was to determine whether children's performance depends on the complexity level of the grammar system learned. We conducted two artificial grammar learning experiments that compared performance of children with developmental dyslexia with that of age- and reading level-matched controls. Experiment 1 was a high topological entropy artificial grammar learning task that aimed to establish implicit learning phenomena in children with developmental dyslexia using previously published experimental conditions. Experiment 2 is a lower topological entropy variant of that task. Results indicated that given a high topological entropy grammar system, children with developmental dyslexia who were similar to the reading age-matched control group had substantial difficulty in performing the task as compared to typically developing children, who exhibited intact implicit learning of the grammar. On the other hand, when tested on a lower topological entropy grammar system, all groups performed above chance level, indicating that children with developmental dyslexia were able to identify rules from a given grammar system. The results reinforced the significance of graph complexity when experimenting with artificial grammar learning tasks, particularly with dyslexic participants.
Electrical Stimulation of Broca's Area Enhances Implicit Learning of an Artificial Grammar
ERIC Educational Resources Information Center
de Vries, Meinou H.; Barth, Andre C. R.; Maiworm, Sandra; Knecht, Stefan; Zwitserlood, Pienie; Floel, Agnes
2010-01-01
Artificial grammar learning constitutes a well-established model for the acquisition of grammatical knowledge in a natural setting. Previous neuroimaging studies demonstrated that Broca's area (left BA 44/45) is similarly activated by natural syntactic processing and artificial grammar learning. The current study was conducted to investigate the…
Learning of pitch and time structures in an artificial grammar setting.
Prince, Jon B; Stevens, Catherine J; Jones, Mari Riess; Tillmann, Barbara
2018-04-12
Despite the empirical evidence for the power of the cognitive capacity of implicit learning of structures and regularities in several modalities and materials, it remains controversial whether implicit learning extends to the learning of temporal structures and regularities. We investigated whether (a) an artificial grammar can be learned equally well when expressed in duration sequences as when expressed in pitch sequences, (b) learning of the artificial grammar in either duration or pitch (as the primary dimension) sequences can be influenced by the properties of the secondary dimension (invariant vs. randomized), and (c) learning can be boosted when the artificial grammar is expressed in both pitch and duration. After an exposure phase with grammatical sequences, learning in a subsequent test phase was assessed in a grammaticality judgment task. Participants in both the pitch and duration conditions showed incidental (not fully implicit) learning of the artificial grammar when the secondary dimension was invariant, but randomizing the pitch sequence prevented learning of the artificial grammar in duration sequences. Expressing the artificial grammar in both pitch and duration resulted in disproportionately better performance, suggesting an interaction between the learning of pitch and temporal structure. The findings are relevant to research investigating the learning of temporal structures and the learning of structures presented simultaneously in 2 dimensions (e.g., space and time, space and objects). By investigating learning, the findings provide further insight into the potential specificity of pitch and time processing, and their integrated versus independent processing, as previously debated in music cognition research. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
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Hendricks, Michelle A.; Conway, Christopher M.; Kellogg, Ronald T.
2013-01-01
Previous studies have suggested that both automatic and intentional processes contribute to the learning of grammar and fragment knowledge in artificial grammar learning (AGL) tasks. To explore the relative contribution of automatic and intentional processes to knowledge gained in AGL, we utilized dual-task methodology to dissociate automatic and…
The Role of Simple Semantics in the Process of Artificial Grammar Learning
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Öttl, Birgit; Jäger, Gerhard; Kaup, Barbara
2017-01-01
This study investigated the effect of semantic information on artificial grammar learning (AGL). Recursive grammars of different complexity levels (regular language, mirror language, copy language) were investigated in a series of AGL experiments. In the with-semantics condition, participants acquired semantic information prior to the AGL…
The Role of Simple Semantics in the Process of Artificial Grammar Learning.
Öttl, Birgit; Jäger, Gerhard; Kaup, Barbara
2017-10-01
This study investigated the effect of semantic information on artificial grammar learning (AGL). Recursive grammars of different complexity levels (regular language, mirror language, copy language) were investigated in a series of AGL experiments. In the with-semantics condition, participants acquired semantic information prior to the AGL experiment; in the without-semantics control condition, participants did not receive semantic information. It was hypothesized that semantics would generally facilitate grammar acquisition and that the learning benefit in the with-semantics conditions would increase with increasing grammar complexity. Experiment 1 showed learning effects for all grammars but no performance difference between conditions. Experiment 2 replicated the absence of a semantic benefit for all grammars even though semantic information was more prominent during grammar acquisition as compared to Experiment 1. Thus, we did not find evidence for the idea that semantics facilitates grammar acquisition, which seems to support the view of an independent syntactic processing component.
Schiff, Rachel; Katan, Pesia; Sasson, Ayelet; Kahta, Shani
2017-07-01
There's a long held view that chunks play a crucial role in artificial grammar learning performance. We compared chunk strength influences on performance, in high and low topological entropy (a measure of complexity) grammar systems, with dyslexic children, age-matched and reading-level-matched control participants. Findings show that age-matched control participants' performance reflected equivalent influence of chunk strength in the two topological entropy conditions, as typically found in artificial grammar learning experiments. By contrast, dyslexic children and reading-level-matched controls' performance reflected knowledge of chunk strength only under the low topological entropy condition. In the low topological entropy grammar system, they appeared completely unable to utilize chunk strength to make appropriate test item selections. In line with previous research, this study suggests that for typically developing children, it is the chunks that are attended during artificial grammar learning and create a foundation on which implicit associative learning mechanisms operate, and these chunks are unitized to different strengths. However, for children with dyslexia, it is complexity that may influence the subsequent memorability of chunks, independently of their strength.
Theories of Artificial Grammar Learning
ERIC Educational Resources Information Center
Pothos, Emmanuel M.
2007-01-01
Artificial grammar learning (AGL) is one of the most commonly used paradigms for the study of implicit learning and the contrast between rules, similarity, and associative learning. Despite five decades of extensive research, however, a satisfactory theoretical consensus has not been forthcoming. Theoretical accounts of AGL are reviewed, together…
Implicit Learning of Recursive Context-Free Grammars
Rohrmeier, Martin; Fu, Qiufang; Dienes, Zoltan
2012-01-01
Context-free grammars are fundamental for the description of linguistic syntax. However, most artificial grammar learning experiments have explored learning of simpler finite-state grammars, while studies exploring context-free grammars have not assessed awareness and implicitness. This paper explores the implicit learning of context-free grammars employing features of hierarchical organization, recursive embedding and long-distance dependencies. The grammars also featured the distinction between left- and right-branching structures, as well as between centre- and tail-embedding, both distinctions found in natural languages. People acquired unconscious knowledge of relations between grammatical classes even for dependencies over long distances, in ways that went beyond learning simpler relations (e.g. n-grams) between individual words. The structural distinctions drawn from linguistics also proved important as performance was greater for tail-embedding than centre-embedding structures. The results suggest the plausibility of implicit learning of complex context-free structures, which model some features of natural languages. They support the relevance of artificial grammar learning for probing mechanisms of language learning and challenge existing theories and computational models of implicit learning. PMID:23094021
ERIC Educational Resources Information Center
Samara, Anna; Caravolas, Markéta
2017-01-01
Potential implicit orthographic learning deficits were investigated in adults with dyslexia. An artificial grammar learning paradigm served to assess dyslexic and typical readers' ability to exploit information about chunk frequency, letter-position patterns, and specific string similarity, all of which have analogous constructs in real…
Eye Movements in Implicit Artificial Grammar Learning
ERIC Educational Resources Information Center
Silva, Susana; Inácio, Filomena; Folia, Vasiliki; Petersson, Karl Magnus
2017-01-01
Artificial grammar learning (AGL) has been probed with forced-choice behavioral tests (active tests). Recent attempts to probe the outcomes of learning (implicitly acquired knowledge) with eye-movement responses (passive tests) have shown null results. However, these latter studies have not tested for sensitivity effects, for example, increased…
ERIC Educational Resources Information Center
Schiff, Rachel; Katan, Pesia; Sasson, Ayelet; Kahta, Shani
2017-01-01
There is a long held view that chunks play a crucial role in artificial grammar learning performance. We compared chunk strength influences on performance, in high and low topological entropy (a measure of complexity) grammar systems, with dyslexic children, age-matched and reading-level-matched control participants. Findings show that age-matched…
ERIC Educational Resources Information Center
de Vries, Meinou H.; Monaghan, Padraic; Knecht, Stefan; Zwitserlood, Pienie
2008-01-01
Embedded hierarchical structures, such as "the rat the cat ate was brown", constitute a core generative property of a natural language theory. Several recent studies have reported learning of hierarchical embeddings in artificial grammar learning (AGL) tasks, and described the functional specificity of Broca's area for processing such structures.…
ERIC Educational Resources Information Center
Katan, Pesia; Kahta, Shani; Sasson, Ayelet; Schiff, Rachel
2017-01-01
Graph complexity as measured by topological entropy has been previously shown to affect performance on artificial grammar learning tasks among typically developing children. The aim of this study was to examine the effect of graph complexity on implicit sequential learning among children with developmental dyslexia. Our goal was to determine…
The Roles of Phonological Short-Term Memory and Working Memory in L2 Grammar and Vocabulary Learning
ERIC Educational Resources Information Center
Martin, Katherine I.; Ellis, Nick C.
2012-01-01
This study analyzed phonological short-term memory (PSTM) and working memory (WM) and their relationship with vocabulary and grammar learning in an artificial foreign language. Nonword repetition, nonword recognition, and listening span were used as memory measures. Participants learned the singular forms of vocabulary for an artificial foreign…
Transfer in Artificial Grammar Learning: The Role of Repetition Information
ERIC Educational Resources Information Center
Lotz, Anja; Kinder, Annette
2006-01-01
In this article, the authors report 2 experiments that investigated the sources of information used in transfer and nontransfer tasks in artificial grammar learning. Multiple regression analyses indicated that 2 types of information about repeating elements were crucial for performance in both tasks: information about the repetition of adjacent…
Incidental Learning of Gender Agreement in L2
ERIC Educational Resources Information Center
Denhovska, Nadiia; Serratrice, Ludovica
2017-01-01
Incidental learning of grammar has been an area of interest for many decades; nevertheless, existing research has primarily focused on artificial or semi-artificial languages. The present study examines the incidental acquisition of the grammar of a natural language by exposing adult speakers of an ungendered L1 (English) to the gender agreement…
Typological Asymmetries in Round Vowel Harmony: Support from Artificial Grammar Learning
ERIC Educational Resources Information Center
Finley, Sara
2012-01-01
Providing evidence for the universal tendencies of patterns in the world's languages can be difficult, as it is impossible to sample all possible languages, and linguistic samples are subject to interpretation. However, experimental techniques, such as artificial grammar learning paradigms, make it possible to uncover the psychological reality of…
Measuring strategic control in artificial grammar learning.
Norman, Elisabeth; Price, Mark C; Jones, Emma
2011-12-01
In response to concerns with existing procedures for measuring strategic control over implicit knowledge in artificial grammar learning (AGL), we introduce a more stringent measurement procedure. After two separate training blocks which each consisted of letter strings derived from a different grammar, participants either judged the grammaticality of novel letter strings with respect to only one of these two grammars (pure-block condition), or had the target grammar varying randomly from trial to trial (novel mixed-block condition) which required a higher degree of conscious flexible control. Random variation in the colour and font of letters was introduced to disguise the nature of the rule and reduce explicit learning. Strategic control was observed both in the pure-block and mixed-block conditions, and even among participants who did not realise the rule was based on letter identity. This indicated detailed strategic control in the absence of explicit learning. Copyright © 2011 Elsevier Inc. All rights reserved.
Developmental Constraints on Learning Artificial Grammars with Fixed, Flexible and Free Word Order
Nowak, Iga; Baggio, Giosuè
2017-01-01
Human learning, although highly flexible and efficient, is constrained in ways that facilitate or impede the acquisition of certain systems of information. Some such constraints, active during infancy and childhood, have been proposed to account for the apparent ease with which typically developing children acquire language. In a series of experiments, we investigated the role of developmental constraints on learning artificial grammars with a distinction between shorter and relatively frequent words (‘function words,’ F-words) and longer and less frequent words (‘content words,’ C-words). We constructed 4 finite-state grammars, in which the order of F-words, relative to C-words, was either fixed (F-words always occupied the same positions in a string), flexible (every F-word always followed a C-word), or free. We exposed adults (N = 84) and kindergarten children (N = 100) to strings from each of these artificial grammars, and we assessed their ability to recognize strings with the same structure, but a different vocabulary. Adults were better at recognizing strings when regularities were available (i.e., fixed and flexible order grammars), while children were better at recognizing strings from the grammars consistent with the attested distribution of function and content words in natural languages (i.e., flexible and free order grammars). These results provide evidence for a link between developmental constraints on learning and linguistic typology. PMID:29089910
Learning of grammar-like visual sequences by adults with and without language-learning disabilities.
Aguilar, Jessica M; Plante, Elena
2014-08-01
Two studies examined learning of grammar-like visual sequences to determine whether a general deficit in statistical learning characterizes this population. Furthermore, we tested the hypothesis that difficulty in sustaining attention during the learning task might account for differences in statistical learning. In Study 1, adults with normal language (NL) or language-learning disability (LLD) were familiarized with the visual artificial grammar and then tested using items that conformed or deviated from the grammar. In Study 2, a 2nd sample of adults with NL and LLD were presented auditory word pairs with weak semantic associations (e.g., groom + clean) along with the visual learning task. Participants were instructed to attend to visual sequences and to ignore the auditory stimuli. Incidental encoding of these words would indicate reduced attention to the primary task. In Studies 1 and 2, both groups demonstrated learning and generalization of the artificial grammar. In Study 2, neither the NL nor the LLD group appeared to encode the words presented during the learning phase. The results argue against a general deficit in statistical learning for individuals with LLD and demonstrate that both NL and LLD learners can ignore extraneous auditory stimuli during visual learning.
The P600 in Implicit Artificial Grammar Learning
ERIC Educational Resources Information Center
Silva, Susana; Folia, Vasiliki; Hagoort, Peter; Petersson, Karl Magnus
2017-01-01
The suitability of the artificial grammar learning (AGL) paradigm to capture relevant aspects of the acquisition of linguistic structures has been empirically tested in a number of EEG studies. Some have shown a syntax-related P600 component, but it has not been ruled out that the AGL P600 effect is a response to surface features (e.g.,…
The Developmental Trajectory of Nonadjacent Dependency Learning
ERIC Educational Resources Information Center
Gomez, Rebecca; Maye, Jessica
2005-01-01
We investigated the developmental trajectory of nonadjacent dependency learning in an artificial language. Infants were exposed to 1 of 2 artificial languages with utterances of the form [aXc or bXd] (Grammar 1) or [aXd or bXc] (Grammar 2). In both languages, the grammaticality of an utterance depended on the relation between the 1st and 3rd…
The effect of subjective awareness measures on performance in artificial grammar learning task.
Ivanchei, Ivan I; Moroshkina, Nadezhda V
2018-01-01
Systematic research into implicit learning requires well-developed awareness-measurement techniques. Recently, trial-by-trial measures have been widely used. However, they can increase complexity of a study because they are an additional experimental variable. We tested the effects of these measures on performance in artificial grammar learning study. Four groups of participants were assigned to different awareness measures conditions: confidence ratings, post-decision wagering, decision strategy attribution or none. Decision-strategy-attribution participants demonstrated better grammar learning and longer response times compared to controls. They also exhibited a conservative bias. Grammaticality by itself was a stronger predictor of strings endorsement in decision-strategy-attribution group compared to other groups. Confidence ratings and post-decision wagering only affected the response times. These results were supported by an additional experiment that used a balanced chunk strength design. We conclude that a decision-strategy-attribution procedure may force participants to adopt an analytical decision-making strategy and rely mostly on conscious knowledge of artificial grammar. Copyright © 2017 Elsevier Inc. All rights reserved.
Sentence Processing in an Artificial Language: Learning and Using Combinatorial Constraints
ERIC Educational Resources Information Center
Amato, Michael S.; MacDonald, Maryellen C.
2010-01-01
A study combining artificial grammar and sentence comprehension methods investigated the learning and online use of probabilistic, nonadjacent combinatorial constraints. Participants learned a small artificial language describing cartoon monsters acting on objects. Self-paced reading of sentences in the artificial language revealed comprehenders'…
Grammar as a Programming Language. Artificial Intelligence Memo 391.
ERIC Educational Resources Information Center
Rowe, Neil
Student projects that involve writing generative grammars in the computer language, "LOGO," are described in this paper, which presents a grammar-running control structure that allows students to modify and improve the grammar interpreter itself while learning how a simple kind of computer parser works. Included are procedures for…
Do Humans Really Learn A[superscript n] B[superscript n] Artificial Grammars from Exemplars?
ERIC Educational Resources Information Center
Hochmann, Jean-Remy; Azadpour, Mahan; Mehler, Jacques
2008-01-01
An important topic in the evolution of language is the kinds of grammars that can be computed by humans and other animals. Fitch and Hauser (F&H; 2004) approached this question by assessing the ability of different species to learn 2 grammars, (AB)[superscript n] and A[superscript n] B[superscript n]. A[superscript n] B[superscript n] was taken to…
What Artificial Grammar Learning Reveals about the Neurobiology of Syntax
ERIC Educational Resources Information Center
Petersson, Karl-Magnus; Folia, Vasiliki; Hagoort, Peter
2012-01-01
In this paper we examine the neurobiological correlates of syntax, the processing of structured sequences, by comparing FMRI results on artificial and natural language syntax. We discuss these and similar findings in the context of formal language and computability theory. We used a simple right-linear unification grammar in an implicit artificial…
Schiff, Rachel; Sasson, Ayelet; Star, Galit; Kahta, Shani
2017-10-01
The importance of feedback for learning has been firmly established over the past few decades. The question of whether feedback plays a significant role in the statistical learning abilities of adults with dyslexia, however, is currently unresolved. Here, we examined the role of feedback in grammaticality judgment, type of structural knowledge, and confidence rating in both typically developed and dyslexic adults. We implemented two artificial grammar learning experiments: implicit and explicit. The second experiment was directly analogous to the first experiment in all respects except training format: the standard memorization instruction was replaced with an explicit rule-search instruction. Each experiment was conducted with and without performance feedback. While both groups showed significantly improved learning in the feedback-based explicit artificial grammar learning task, only the typically developed adults demonstrated higher levels of conscious structural knowledge. The present study demonstrates that the basis for the grammaticality judgment of adults with dyslexia differs from that of typically developed adults, regardless of increase in the level of explicitness.
Concurrence of rule- and similarity-based mechanisms in artificial grammar learning.
Opitz, Bertram; Hofmann, Juliane
2015-03-01
A current theoretical debate regards whether rule-based or similarity-based learning prevails during artificial grammar learning (AGL). Although the majority of findings are consistent with a similarity-based account of AGL it has been argued that these results were obtained only after limited exposure to study exemplars, and performance on subsequent grammaticality judgment tests has often been barely above chance level. In three experiments the conditions were investigated under which rule- and similarity-based learning could be applied. Participants were exposed to exemplars of an artificial grammar under different (implicit and explicit) learning instructions. The analysis of receiver operating characteristics (ROC) during a final grammaticality judgment test revealed that explicit but not implicit learning led to rule knowledge. It also demonstrated that this knowledge base is built up gradually while similarity knowledge governed the initial state of learning. Together these results indicate that rule- and similarity-based mechanisms concur during AGL. Moreover, it could be speculated that two different rule processes might operate in parallel; bottom-up learning via gradual rule extraction and top-down learning via rule testing. Crucially, the latter is facilitated by performance feedback that encourages explicit hypothesis testing. Copyright © 2015 Elsevier Inc. All rights reserved.
Norman, Elisabeth; Scott, Ryan B; Price, Mark C; Dienes, Zoltan
2016-05-01
We address Jacoby's (1991) proposal that strategic control over knowledge requires conscious awareness of that knowledge. In a two-grammar artificial grammar learning experiment all participants were trained on two grammars, consisting of a regularity in letter sequences, while two other dimensions (colours and fonts) varied randomly. Strategic control was measured as the ability to selectively apply the grammars during classification. For each classification, participants also made a combined judgement of (a) decision strategy and (b) relevant stimulus dimension. Strategic control was found for all types of decision strategy, including trials where participants claimed to lack conscious structural knowledge. However, strong evidence of strategic control only occurred when participants knew or guessed that the letter dimension was relevant, suggesting that strategic control might be associated with - or even causally requires - global awareness of the nature of the rules even though it does not require detailed knowledge of their content. Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.
ERIC Educational Resources Information Center
Lai, Jun; Poletiek, Fenna H.
2011-01-01
A theoretical debate in artificial grammar learning (AGL) regards the learnability of hierarchical structures. Recent studies using an A[superscript n]B[superscript n] grammar draw conflicting conclusions ([Bahlmann and Friederici, 2006] and [De Vries et al., 2008]). We argue that 2 conditions crucially affect learning A[superscript…
Domain-specific learning of grammatical structure in musical and phonological sequences.
Bly, Benjamin Martin; Carrión, Ricardo E; Rasch, Björn
2009-01-01
Artificial grammar learning depends on acquisition of abstract structural representations rather than domain-specific representational constraints, or so many studies tell us. Using an artificial grammar task, we compared learning performance in two stimulus domains in which respondents have differing tacit prior knowledge. We found that despite grammatically identical sequence structures, learning was better for harmonically related chord sequences than for letter name sequences or harmonically unrelated chord sequences. We also found transfer effects within the musical and letter name tasks, but not across the domains. We conclude that knowledge acquired in implicit learning depends not only on abstract features of structured stimuli, but that the learning of regularities is in some respects domain-specific and strongly linked to particular features of the stimulus domain.
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.
Incidental Learning of Gender Agreement in L2.
Denhovska, Nadiia; Serratrice, Ludovica
2017-10-01
Incidental learning of grammar has been an area of interest for many decades; nevertheless, existing research has primarily focused on artificial or semi-artificial languages. The present study examines the incidental acquisition of the grammar of a natural language by exposing adult speakers of an ungendered L1 (English) to the gender agreement patterns in Russian (a language that was novel to the learners). Both receptive and productive knowledge and the mediating role of working memory (WM) in learning were measured. Speakers of the ungendered language were able to successfully acquire receptive but not productive grammatical knowledge in a new language under incidental exposure. WM was engaged in production but not in a grammaticality judgment task in the incidental learning condition, indicating cognitive effort during knowledge retrieval.
Artificial Language Learning and Feature-Based Generalization
ERIC Educational Resources Information Center
Finley, Sara; Badecker, William
2009-01-01
Abstract representations such as subsegmental phonological features play such a vital role in explanations of phonological processes that many assume that these representations play an equally prominent role in the learning process. This assumption is tested in three artificial grammar experiments involving a mini language with morpho-phonological…
Complexity, Training Paradigm Design, and the Contribution of Memory Subsystems to Grammar Learning
Ettlinger, Marc; Wong, Patrick C. M.
2016-01-01
Although there is variability in nonnative grammar learning outcomes, the contributions of training paradigm design and memory subsystems are not well understood. To examine this, we presented learners with an artificial grammar that formed words via simple and complex morphophonological rules. Across three experiments, we manipulated training paradigm design and measured subjects' declarative, procedural, and working memory subsystems. Experiment 1 demonstrated that passive, exposure-based training boosted learning of both simple and complex grammatical rules, relative to no training. Additionally, procedural memory correlated with simple rule learning, whereas declarative memory correlated with complex rule learning. Experiment 2 showed that presenting corrective feedback during the test phase did not improve learning. Experiment 3 revealed that structuring the order of training so that subjects are first exposed to the simple rule and then the complex improved learning. The cumulative findings shed light on the contributions of grammatical complexity, training paradigm design, and domain-general memory subsystems in determining grammar learning success. PMID:27391085
Cho, Pyeong Whan; Szkudlarek, Emily; Tabor, Whitney
2016-01-01
Learning is typically understood as a process in which the behavior of an organism is progressively shaped until it closely approximates a target form. It is easy to comprehend how a motor skill or a vocabulary can be progressively learned-in each case, one can conceptualize a series of intermediate steps which lead to the formation of a proficient behavior. With grammar, it is more difficult to think in these terms. For example, center embedding recursive structures seem to involve a complex interplay between multiple symbolic rules which have to be in place simultaneously for the system to work at all, so it is not obvious how the mechanism could gradually come into being. Here, we offer empirical evidence from a new artificial language (or "artificial grammar") learning paradigm, Locus Prediction, that, despite the conceptual conundrum, recursion acquisition occurs gradually, at least for a simple formal language. In particular, we focus on a variant of the simplest recursive language, a (n) b (n) , and find evidence that (i) participants trained on two levels of structure (essentially ab and aabb) generalize to the next higher level (aaabbb) more readily than participants trained on one level of structure (ab) combined with a filler sentence; nevertheless, they do not generalize immediately; (ii) participants trained up to three levels (ab, aabb, aaabbb) generalize more readily to four levels than participants trained on two levels generalize to three; (iii) when we present the levels in succession, starting with the lower levels and including more and more of the higher levels, participants show evidence of transitioning between the levels gradually, exhibiting intermediate patterns of behavior on which they were not trained; (iv) the intermediate patterns of behavior are associated with perturbations of an attractor in the sense of dynamical systems theory. We argue that all of these behaviors indicate a theory of mental representation in which recursive systems lie on a continuum of grammar systems which are organized so that grammars that produce similar behaviors are near one another, and that people learning a recursive system are navigating progressively through the space of these grammars.
Rohrmeier, Martin A; Cross, Ian
2014-07-01
Humans rapidly learn complex structures in various domains. Findings of above-chance performance of some untrained control groups in artificial grammar learning studies raise questions about the extent to which learning can occur in an untrained, unsupervised testing situation with both correct and incorrect structures. The plausibility of unsupervised online-learning effects was modelled with n-gram, chunking and simple recurrent network models. A novel evaluation framework was applied, which alternates forced binary grammaticality judgments and subsequent learning of the same stimulus. Our results indicate a strong online learning effect for n-gram and chunking models and a weaker effect for simple recurrent network models. Such findings suggest that online learning is a plausible effect of statistical chunk learning that is possible when ungrammatical sequences contain a large proportion of grammatical chunks. Such common effects of continuous statistical learning may underlie statistical and implicit learning paradigms and raise implications for study design and testing methodologies. Copyright © 2014 Elsevier Inc. All rights reserved.
Syntactic transfer in artificial grammar learning.
Beesley, T; Wills, A J; Le Pelley, M E
2010-02-01
In an artificial grammar learning (AGL) experiment, participants were trained with instances of one grammatical structure before completing a test phase in which they were required to discriminate grammatical from randomly created strings. Importantly, the underlying structure used to generate test strings was different from that used to generate the training strings. Despite the fact that grammatical training strings were more similar to nongrammatical test strings than they were to grammatical test strings, this manipulation resulted in a positive transfer effect, as compared with controls trained with nongrammatical strings. It is suggested that training with grammatical strings leads to an appreciation of set variance that aids the detection of grammatical test strings in AGL tasks. The analysis presented demonstrates that it is useful to conceptualize test performance in AGL as a form of unsupervised category learning.
Kolodny, Oren; Lotem, Arnon; Edelman, Shimon
2015-03-01
We introduce a set of biologically and computationally motivated design choices for modeling the learning of language, or of other types of sequential, hierarchically structured experience and behavior, and describe an implemented system that conforms to these choices and is capable of unsupervised learning from raw natural-language corpora. Given a stream of linguistic input, our model incrementally learns a grammar that captures its statistical patterns, which can then be used to parse or generate new data. The grammar constructed in this manner takes the form of a directed weighted graph, whose nodes are recursively (hierarchically) defined patterns over the elements of the input stream. We evaluated the model in seventeen experiments, grouped into five studies, which examined, respectively, (a) the generative ability of grammar learned from a corpus of natural language, (b) the characteristics of the learned representation, (c) sequence segmentation and chunking, (d) artificial grammar learning, and (e) certain types of structure dependence. The model's performance largely vindicates our design choices, suggesting that progress in modeling language acquisition can be made on a broad front-ranging from issues of generativity to the replication of human experimental findings-by bringing biological and computational considerations, as well as lessons from prior efforts, to bear on the modeling approach. Copyright © 2014 Cognitive Science Society, Inc.
AGSuite: Software to conduct feature analysis of artificial grammar learning performance.
Cook, Matthew T; Chubala, Chrissy M; Jamieson, Randall K
2017-10-01
To simplify the problem of studying how people learn natural language, researchers use the artificial grammar learning (AGL) task. In this task, participants study letter strings constructed according to the rules of an artificial grammar and subsequently attempt to discriminate grammatical from ungrammatical test strings. Although the data from these experiments are usually analyzed by comparing the mean discrimination performance between experimental conditions, this practice discards information about the individual items and participants that could otherwise help uncover the particular features of strings associated with grammaticality judgments. However, feature analysis is tedious to compute, often complicated, and ill-defined in the literature. Moreover, the data violate the assumption of independence underlying standard linear regression models, leading to Type I error inflation. To solve these problems, we present AGSuite, a free Shiny application for researchers studying AGL. The suite's intuitive Web-based user interface allows researchers to generate strings from a database of published grammars, compute feature measures (e.g., Levenshtein distance) for each letter string, and conduct a feature analysis on the strings using linear mixed effects (LME) analyses. The LME analysis solves the inflation of Type I errors that afflicts more common methods of repeated measures regression analysis. Finally, the software can generate a number of graphical representations of the data to support an accurate interpretation of results. We hope the ease and availability of these tools will encourage researchers to take full advantage of item-level variance in their datasets in the study of AGL. We moreover discuss the broader applicability of the tools for researchers looking to conduct feature analysis in any field.
Implicit Learning Deficits among Adults with Developmental Dyslexia
ERIC Educational Resources Information Center
Kahta, Shani; Schiff, Rachel
2016-01-01
The aim of the present study was to investigate implicit learning processes among adults with developmental dyslexia (DD) using a visual linguistic artificial grammar learning (AGL) task. Specifically, it was designed to explore whether the intact learning reported in previous studies would also occur under conditions including minimal training…
Prior familiarity with components enhances unconscious learning of relations.
Scott, Ryan B; Dienes, Zoltan
2010-03-01
The influence of prior familiarity with components on the implicit learning of relations was examined using artificial grammar learning. Prior to training on grammar strings, participants were familiarized with either the novel symbols used to construct the strings or with irrelevant geometric shapes. Participants familiarized with the relevant symbols showed greater accuracy when judging the correctness of new grammar strings. Familiarity with elemental components did not increase conscious awareness of the basis for discriminations (structural knowledge) but increased accuracy even in its absence. The subjective familiarity of test strings predicted grammaticality judgments. However, prior exposure to relevant symbols did not increase overall test string familiarity or reliance on familiarity when making grammaticality judgments. Familiarity with the symbols increased the learning of relations between them (bigrams and trigrams) thus resulting in greater familiarity for grammatical versus ungrammatical strings. The results have important implications for models of implicit learning.
EEG potentials associated with artificial grammar learning in the primate brain.
Attaheri, Adam; Kikuchi, Yukiko; Milne, Alice E; Wilson, Benjamin; Alter, Kai; Petkov, Christopher I
2015-09-01
Electroencephalography (EEG) has identified human brain potentials elicited by Artificial Grammar (AG) learning paradigms, which present participants with rule-based sequences of stimuli. Nonhuman animals are sensitive to certain AGs; therefore, evaluating which EEG Event Related Potentials (ERPs) are associated with AG learning in nonhuman animals could identify evolutionarily conserved processes. We recorded EEG potentials during an auditory AG learning experiment in two Rhesus macaques. The animals were first exposed to sequences of nonsense words generated by the AG. Then surface-based ERPs were recorded in response to sequences that were 'consistent' with the AG and 'violation' sequences containing illegal transitions. The AG violations strongly modulated an early component, potentially homologous to the Mismatch Negativity (mMMN), a P200 and a late frontal positivity (P500). The macaque P500 is similar in polarity and time of occurrence to a late EEG positivity reported in human AG learning studies but might differ in functional role. Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.
The Utility of Implicit Learning in the Teaching of Rules
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Saetrevik, Bjorn; Reber, Rolf; Sannum, Petter
2006-01-01
The potential impact of implicit learning on education has been repeatedly stressed, though little research has examined this connection directly. The current paper describes two experiments that, inspired by artificial grammar learning experiments, examine the utility of implicit learning as a method for teaching atomic bonding rules to 11-12…
Pavlidou, Elpis V; Williams, Joanne M
2014-07-01
We examined implicit learning in school-aged children with and without developmental dyslexia based on the proposal that implicit learning plays a significant role in mastering fluent reading. We ran two experiments with 16 typically developing children (9 to 11-years-old) and 16 age-matched children with developmental dyslexia using the artificial grammar learning (AGL) paradigm. In Experiment 1 (non-transfer task), children were trained on stimuli that followed patterns (rules) unknown to them. Subsequently, they were asked to decide from a novel set which stimuli follow the same rules (grammaticality judgments). In Experiment 2 (transfer task), training and testing stimuli differed in their superficial characteristics but followed the same rules. Again, children were asked to make grammaticality judgments. Our findings expand upon previous research by showing that children with developmental dyslexia show difficulties in implicit learning that are most likely specific to higher-order rule-like learning. These findings are discussed in relation to current theories of developmental dyslexia and of implicit learning. Copyright © 2014 Elsevier Ltd. All rights reserved.
The Effects of Mood, Cognitive Style, and Cognitive Ability on Implicit Learning
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Pretz, Jean E.; Totz, Kathryn Sentman; Kaufman, Scott Barry
2010-01-01
In an experiment with 109 undergraduates, we examined the effect of mood, cognitive style, and cognitive ability on implicit learning in the Artificial Grammar (AG) and Serial Reaction Time (SRT) tasks. Negative mood facilitated AG learning, but had no significant effect on SRT learning. Rational cognitive style predicted greater learning on both…
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de Vries, Meinou H.; Ulte, Catrin; Zwitserlood, Pienie; Szymanski, Barbara; Knecht, Stefan
2010-01-01
Recently, an increasing number of studies have suggested a role for the basal ganglia and related dopamine inputs in procedural learning, specifically when learning occurs through trial-by-trial feedback (Shohamy, Myers, Kalanithi, & Gluck. (2008). "Basal ganglia and dopamine contributions to probabilistic category learning." "Neuroscience and…
Learning and liking an artificial musical system: Effects of set size and repeated exposure
Loui, Psyche; Wessel, David
2009-01-01
We report an investigation of humans' musical learning ability using a novel musical system. We designed an artificial musical system based on the Bohlen-Pierce scale, a scale very different from Western music. Melodies were composed from chord progressions in the new scale by applying the rules of a finite-state grammar. After exposing participants to sets of melodies, we conducted listening tests to assess learning, including recognition tests, generalization tests, and subjective preference ratings. In Experiment 1, participants were presented with 15 melodies 27 times each. Forced choice results showed that participants were able to recognize previously encountered melodies and generalize their knowledge to new melodies, suggesting internalization of the musical grammar. Preference ratings showed no differentiation among familiar, new, and ungrammatical melodies. In Experiment 2, participants were given 10 melodies 40 times each. Results showed superior recognition but unsuccessful generalization. Additionally, preference ratings were significantly higher for familiar melodies. Results from the two experiments suggest that humans can internalize the grammatical structure of a new musical system following exposure to a sufficiently large set size of melodies, but musical preference results from repeated exposure to a small number of items. This dissociation between grammar learning and preference will be further discussed. PMID:20151034
Learning and liking an artificial musical system: Effects of set size and repeated exposure.
Loui, Psyche; Wessel, David
2008-10-01
We report an investigation of humans' musical learning ability using a novel musical system. We designed an artificial musical system based on the Bohlen-Pierce scale, a scale very different from Western music. Melodies were composed from chord progressions in the new scale by applying the rules of a finite-state grammar. After exposing participants to sets of melodies, we conducted listening tests to assess learning, including recognition tests, generalization tests, and subjective preference ratings. In Experiment 1, participants were presented with 15 melodies 27 times each. Forced choice results showed that participants were able to recognize previously encountered melodies and generalize their knowledge to new melodies, suggesting internalization of the musical grammar.Preference ratings showed no differentiation among familiar, new, and ungrammatical melodies. In Experiment 2, participants were given 10 melodies 40 times each. Results showed superior recognition but unsuccessful generalization. Additionally, preference ratings were significantly higher for familiar melodies. Results from the two experiments suggest that humans can internalize the grammatical structure of a new musical system following exposure to a sufficiently large set size of melodies, but musical preference results from repeated exposure to a small number of items. This dissociation between grammar learning and preference will be further discussed.
Linguistic Grammar Learning and DRD2-TAQ-IA Polymorphism
Wong, Patrick C. M.; Ettlinger, Marc; Zheng, Jing
2013-01-01
As research into the neurobiology of language has focused primarily on the systems level, fewer studies have examined the link between molecular genetics and normal variations in language functions. Because the ability to learn a language varies in adults and our genetic codes also vary, research linking the two provides a unique window into the molecular neurobiology of language. We consider a candidate association between the dopamine receptor D2 gene (DRD2) and linguistic grammar learning. DRD2-TAQ-IA polymorphism (rs1800497) is associated with dopamine receptor D2 distribution and dopamine impact in the human striatum, such that A1 allele carriers show reduction in D2 receptor binding relative to carriers who are homozygous for the A2 allele. The individual differences in grammatical rule learning that are particularly prevalent in adulthood are also associated with striatal function and its role in domain-general procedural memory. Therefore, we reasoned that procedurally-based grammar learning could be associated with DRD2-TAQ-IA polymorphism. Here, English-speaking adults learned artificial concatenative and analogical grammars, which have been respectively associated with procedural and declarative memory. Language learning capabilities were tested while learners’ neural hemodynamic responses were simultaneously measured by fMRI. Behavioral learning and brain activation data were subsequently compared with the learners’ DRD2 (rs1800497) genotype. Learners who were homozygous for the A2 allele were better at concatenative (but not analogical) grammar learning and had higher striatal responses relative to those who have at least one A1 allele. These results provide preliminary evidence for the neurogenetic basis of normal variations in linguistic grammar learning and its link to domain-general functions. PMID:23741438
Cho, Pyeong Whan; Szkudlarek, Emily; Tabor, Whitney
2016-01-01
Learning is typically understood as a process in which the behavior of an organism is progressively shaped until it closely approximates a target form. It is easy to comprehend how a motor skill or a vocabulary can be progressively learned—in each case, one can conceptualize a series of intermediate steps which lead to the formation of a proficient behavior. With grammar, it is more difficult to think in these terms. For example, center embedding recursive structures seem to involve a complex interplay between multiple symbolic rules which have to be in place simultaneously for the system to work at all, so it is not obvious how the mechanism could gradually come into being. Here, we offer empirical evidence from a new artificial language (or “artificial grammar”) learning paradigm, Locus Prediction, that, despite the conceptual conundrum, recursion acquisition occurs gradually, at least for a simple formal language. In particular, we focus on a variant of the simplest recursive language, anbn, and find evidence that (i) participants trained on two levels of structure (essentially ab and aabb) generalize to the next higher level (aaabbb) more readily than participants trained on one level of structure (ab) combined with a filler sentence; nevertheless, they do not generalize immediately; (ii) participants trained up to three levels (ab, aabb, aaabbb) generalize more readily to four levels than participants trained on two levels generalize to three; (iii) when we present the levels in succession, starting with the lower levels and including more and more of the higher levels, participants show evidence of transitioning between the levels gradually, exhibiting intermediate patterns of behavior on which they were not trained; (iv) the intermediate patterns of behavior are associated with perturbations of an attractor in the sense of dynamical systems theory. We argue that all of these behaviors indicate a theory of mental representation in which recursive systems lie on a continuum of grammar systems which are organized so that grammars that produce similar behaviors are near one another, and that people learning a recursive system are navigating progressively through the space of these grammars. PMID:27375543
Sleep Promotes the Extraction of Grammatical Rules
Nieuwenhuis, Ingrid L. C.; Folia, Vasiliki; Forkstam, Christian; Jensen, Ole; Petersson, Karl Magnus
2013-01-01
Grammar acquisition is a high level cognitive function that requires the extraction of complex rules. While it has been proposed that offline time might benefit this type of rule extraction, this remains to be tested. Here, we addressed this question using an artificial grammar learning paradigm. During a short-term memory cover task, eighty-one human participants were exposed to letter sequences generated according to an unknown artificial grammar. Following a time delay of 15 min, 12 h (wake or sleep) or 24 h, participants classified novel test sequences as Grammatical or Non-Grammatical. Previous behavioral and functional neuroimaging work has shown that classification can be guided by two distinct underlying processes: (1) the holistic abstraction of the underlying grammar rules and (2) the detection of sequence chunks that appear at varying frequencies during exposure. Here, we show that classification performance improved after sleep. Moreover, this improvement was due to an enhancement of rule abstraction, while the effect of chunk frequency was unaltered by sleep. These findings suggest that sleep plays a critical role in extracting complex structure from separate but related items during integrative memory processing. Our findings stress the importance of alternating periods of learning with sleep in settings in which complex information must be acquired. PMID:23755173
The P600 in Implicit Artificial Grammar Learning.
Silva, Susana; Folia, Vasiliki; Hagoort, Peter; Petersson, Karl Magnus
2017-01-01
The suitability of the artificial grammar learning (AGL) paradigm to capture relevant aspects of the acquisition of linguistic structures has been empirically tested in a number of EEG studies. Some have shown a syntax-related P600 component, but it has not been ruled out that the AGL P600 effect is a response to surface features (e.g., subsequence familiarity) rather than the underlying syntax structure. Therefore, in this study, we controlled for the surface characteristics of the test sequences (associative chunk strength) and recorded the EEG before (baseline preference classification) and after (preference and grammaticality classification) exposure to a grammar. After exposure, a typical, centroparietal P600 effect was elicited by grammatical violations and not by unfamiliar subsequences, suggesting that the AGL P600 effect signals a response to structural irregularities. Moreover, preference and grammaticality classification showed a qualitatively similar ERP profile, strengthening the idea that the implicit structural mere-exposure paradigm in combination with preference classification is a suitable alternative to the traditional grammaticality classification test. Copyright © 2016 Cognitive Science Society, Inc.
Distributional learning aids linguistic category formation in school-age children.
Hall, Jessica; Owen VAN Horne, Amanda; Farmer, Thomas
2018-05-01
The goal of this study was to determine if typically developing children could form grammatical categories from distributional information alone. Twenty-seven children aged six to nine listened to an artificial grammar which contained strategic gaps in its distribution. At test, we compared how children rated novel sentences that fit the grammar to sentences that were ungrammatical. Sentences could be distinguished only through the formation of categories of words with shared distributional properties. Children's ratings revealed that they could discriminate grammatical and ungrammatical sentences. These data lend support to the hypothesis that distributional learning is a potential mechanism for learning grammatical categories in a first language.
Distributional Learning in College Students With Developmental Language Disorder.
Hall, Jessica; Owen Van Horne, Amanda; McGregor, Karla K; Farmer, Thomas
2017-11-09
This study examined whether college students with developmental language disorder (DLD) could use distributional information in an artificial language to learn about grammatical category membership in a way similar to their typically developing (TD) peers. Seventeen college students with DLD and 17 TD college students participated in this task. We used an artificial grammar in which certain combinations of words never occurred during training. At test, participants had to use knowledge of category membership to determine which combinations were allowable in the grammar, even though they had not been heard. College students with DLD performed similarly to TD peers in distinguishing grammatical from ungrammatical combinations. Differences in ratings between grammatical and ungrammatical items in this task suggest that college students with DLD can form grammatical categories from novel input and more broadly use distributional information.
The use of control groups in artificial grammar learning.
Reber, Rolf; Perruchet, Pierre
2003-01-01
Experimenters assume that participants of an experimental group have learned an artificial grammar if they classify test items with significantly higher accuracy than does a control group without training. The validity of such a comparison, however, depends on an additivity assumption: Learning is superimposed on the action of non-specific variables-for example, repetitions of letters, which modulate the performance of the experimental group and the control group to the same extent. In two experiments we were able to show that this additivity assumption does not hold. Grammaticality classifications in control groups without training (Experiments 1 and 2) depended on non-specific features. There were no such biases in the experimental groups. Control groups with training on randomized strings (Experiment 2) showed fewer biases than did control groups without training. Furthermore, we reanalysed published research and demonstrated that earlier experiments using control groups without training had produced similar biases in control group performances, bolstering the finding that using control groups without training is methodologically unsound.
When It Hurts (and Helps) to Try: The Role of Effort in Language Learning
Finn, Amy S.; Lee, Taraz; Kraus, Allison; Hudson Kam, Carla L.
2014-01-01
Compared to children, adults are bad at learning language. This is counterintuitive; adults outperform children on most measures of cognition, especially those that involve effort (which continue to mature into early adulthood). The present study asks whether these mature effortful abilities interfere with language learning in adults and further, whether interference occurs equally for aspects of language that adults are good (word-segmentation) versus bad (grammar) at learning. Learners were exposed to an artificial language comprised of statistically defined words that belong to phonologically defined categories (grammar). Exposure occurred under passive or effortful conditions. Passive learners were told to listen while effortful learners were instructed to try to 1) learn the words, 2) learn the categories, or 3) learn the category-order. Effortful learners showed an advantage for learning words while passive learners showed an advantage for learning the categories. Effort can therefore hurt the learning of categories. PMID:25047901
When it hurts (and helps) to try: the role of effort in language learning.
Finn, Amy S; Lee, Taraz; Kraus, Allison; Hudson Kam, Carla L
2014-01-01
Compared to children, adults are bad at learning language. This is counterintuitive; adults outperform children on most measures of cognition, especially those that involve effort (which continue to mature into early adulthood). The present study asks whether these mature effortful abilities interfere with language learning in adults and further, whether interference occurs equally for aspects of language that adults are good (word-segmentation) versus bad (grammar) at learning. Learners were exposed to an artificial language comprised of statistically defined words that belong to phonologically defined categories (grammar). Exposure occurred under passive or effortful conditions. Passive learners were told to listen while effortful learners were instructed to try to 1) learn the words, 2) learn the categories, or 3) learn the category-order. Effortful learners showed an advantage for learning words while passive learners showed an advantage for learning the categories. Effort can therefore hurt the learning of categories.
The conscious, the unconscious, and familiarity.
Scott, Ryan B; Dienes, Zoltán
2008-09-01
This article examines the role of subjective familiarity in the implicit and explicit learning of artificial grammars. Experiment 1 found that objective measures of similarity (including fragment frequency and repetition structure) predicted ratings of familiarity, that familiarity ratings predicted grammaticality judgments, and that the extremity of familiarity ratings predicted confidence. Familiarity was further shown to predict judgments in the absence of confidence, hence contributing to above-chance guessing. Experiment 2 found that confidence developed as participants refined their knowledge of the distribution of familiarity and that differences in familiarity could be exploited prior to confidence developing. Experiment 3 found that familiarity was consciously exploited to make grammaticality judgments including those made without confidence and that familiarity could in some instances influence participants' grammaticality judgments apparently without their awareness. All 3 experiments found that knowledge distinct from familiarity was derived only under deliberate learning conditions. The results provide decisive evidence that familiarity is the essential source of knowledge in artificial grammar learning while also supporting a dual-process model of implicit and explicit learning. (c) 2008 APA, all rights reserved.
ERIC Educational Resources Information Center
Schiff, Rachel; Sasson, Ayelet; Star, Galit; Kahta, Shani
2017-01-01
The importance of feedback for learning has been firmly established over the past few decades. The question of whether feedback plays a significant role in the statistical learning abilities of adults with dyslexia, however, is currently unresolved. Here, we examined the role of feedback in grammaticality judgment, type of structural knowledge,…
Typological Asymmetries in Round Vowel Harmony: Support from Artificial Grammar Learning
Finley, Sara
2012-01-01
Providing evidence for the universal tendencies of patterns in the world’s languages can be difficult, as it is impossible to sample all possible languages, and linguistic samples are subject to interpretation. However, experimental techniques such as artificial grammar learning paradigms make it possible to uncover the psychological reality of claimed universal tendencies. This paper addresses learning of phonological patterns (systematic tendencies in the sounds in language). Specifically, I explore the role of phonetic grounding in learning round harmony, a phonological process in which words must contain either all round vowels ([o, u]) or all unround vowels ([i, e]). The phonetic precursors to round harmony are such that mid vowels ([o, e]), which receive the greatest perceptual benefit from harmony, are most likely to trigger harmony. High vowels ([i, u]), however, are cross-linguistically less likely to trigger round harmony. Adult participants were exposed to a miniature language that contained a round harmony pattern in which the harmony source triggers were either high vowels ([i, u]) (poor harmony source triggers) or mid vowels ([o, e]) (ideal harmony source triggers). Only participants who were exposed to the ideal mid vowel harmony source triggers were successfully able to generalize the harmony pattern to novel instances, suggesting that perception and phonetic naturalness play a role in learning. PMID:23264713
Assessing the uniqueness of language: Animal grammatical abilities take center stage.
Ten Cate, Carel
2017-02-01
Questions related to the uniqueness of language can only be addressed properly by referring to sound knowledge of the relevant cognitive abilities of nonhuman animals. A key question concerns the nature and extent of animal rule-learning abilities. I discuss two approaches used to assess these abilities. One is comparing the structures of animal vocalizations to linguistic ones, and another is addressing the grammatical rule- and pattern-learning abilities of animals through experiments using artificial grammars. Neither of these approaches has so far provided unambiguous evidence of advanced animal abilities. However, when we consider how animal vocalizations are analyzed, the types of stimuli and tasks that are used in artificial grammar learning experiments, the limited number of species examined, and the groups to which these belong, I argue that the currently available evidence is insufficient to arrive at firm conclusions concerning the limitations of animal grammatical abilities. As a consequence, the gap between human linguistic rule-learning abilities and those of nonhuman animals may be smaller and less clear than is currently assumed. This means that it is still an open question whether a difference in the rule-learning and rule abstraction abilities between animals and humans played the key role in the evolution of language.
Impaired Artificial Grammar Learning in Agrammatism
ERIC Educational Resources Information Center
Christiansen, Morten H.; Kelly, M. Louise; Shillcock, Richard C.; Greenfield, Katie
2010-01-01
It is often assumed that language is supported by domain-specific neural mechanisms, in part based on neuropsychological data from aphasia. If, however, language relies on domain-general mechanisms, it would be expected that deficits in non-linguistic cognitive processing should co-occur with aphasia. In this paper, we report a study of sequential…
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Luka, B.J.; Barsalou, L.W.
2005-01-01
In five experiments, participants first read grammatical sentences of English and later rated identical, structurally similar, or novel sentences for grammatical acceptability. The experimental method was modeled after ''mere exposure'' and artificial grammar learning paradigms in which preference ratings are enhanced by prior experience with the…
Category Induction via Distributional Analysis: Evidence from a Serial Reaction Time Task
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Hunt, Ruskin H.; Aslin, Richard N.
2010-01-01
Category formation lies at the heart of a number of higher-order behaviors, including language. We assessed the ability of human adults to learn, from distributional information alone, categories embedded in a sequence of input stimuli using a serial reaction time task. Artificial grammars generated corpora of input strings containing a…
Across Space and Time: Infants Learn from Backward and Forward Visual Statistics
ERIC Educational Resources Information Center
Tummeltshammer, Kristen; Amso, Dima; French, Robert M.; Kirkham, Natasha Z.
2017-01-01
This study investigates whether infants are sensitive to backward and forward transitional probabilities within temporal and spatial visual streams. Two groups of 8-month-old infants were familiarized with an artificial grammar of shapes, comprising backward and forward base pairs (i.e. two shapes linked by strong backward or forward transitional…
Kepinska, Olga; Pereda, Ernesto; Caspers, Johanneke; Schiller, Niels O
2017-12-01
The goal of the present study was to investigate the initial phases of novel grammar learning on a neural level, concentrating on mechanisms responsible for individual variability between learners. Two groups of participants, one with high and one with average language analytical abilities, performed an Artificial Grammar Learning (AGL) task consisting of learning and test phases. During the task, EEG signals from 32 cap-mounted electrodes were recorded and epochs corresponding to the learning phases were analysed. We investigated spectral power modulations over time, and functional connectivity patterns by means of a bivariate, frequency-specific index of phase synchronization termed Phase Locking Value (PLV). Behavioural data showed learning effects in both groups, with a steeper learning curve and higher ultimate attainment for the highly skilled learners. Moreover, we established that cortical connectivity patterns and profiles of spectral power modulations over time differentiated L2 learners with various levels of language analytical abilities. Over the course of the task, the learning process seemed to be driven by whole-brain functional connectivity between neuronal assemblies achieved by means of communication in the beta band frequency. On a shorter time-scale, increasing proficiency on the AGL task appeared to be supported by stronger local synchronisation within the right hemisphere regions. Finally, we observed that the highly skilled learners might have exerted less mental effort, or reduced attention for the task at hand once the learning was achieved, as evidenced by the higher alpha band power. Copyright © 2017 Elsevier Inc. All rights reserved.
Implicit structured sequence learning: an fMRI study of the structural mere-exposure effect
Folia, Vasiliki; Petersson, Karl Magnus
2014-01-01
In this event-related fMRI study we investigated the effect of 5 days of implicit acquisition on preference classification by means of an artificial grammar learning (AGL) paradigm based on the structural mere-exposure effect and preference classification using a simple right-linear unification grammar. This allowed us to investigate implicit AGL in a proper learning design by including baseline measurements prior to grammar exposure. After 5 days of implicit acquisition, the fMRI results showed activations in a network of brain regions including the inferior frontal (centered on BA 44/45) and the medial prefrontal regions (centered on BA 8/32). Importantly, and central to this study, the inclusion of a naive preference fMRI baseline measurement allowed us to conclude that these fMRI findings were the intrinsic outcomes of the learning process itself and not a reflection of a preexisting functionality recruited during classification, independent of acquisition. Support for the implicit nature of the knowledge utilized during preference classification on day 5 come from the fact that the basal ganglia, associated with implicit procedural learning, were activated during classification, while the medial temporal lobe system, associated with explicit declarative memory, was consistently deactivated. Thus, preference classification in combination with structural mere-exposure can be used to investigate structural sequence processing (syntax) in unsupervised AGL paradigms with proper learning designs. PMID:24550865
Implicit structured sequence learning: an fMRI study of the structural mere-exposure effect.
Folia, Vasiliki; Petersson, Karl Magnus
2014-01-01
In this event-related fMRI study we investigated the effect of 5 days of implicit acquisition on preference classification by means of an artificial grammar learning (AGL) paradigm based on the structural mere-exposure effect and preference classification using a simple right-linear unification grammar. This allowed us to investigate implicit AGL in a proper learning design by including baseline measurements prior to grammar exposure. After 5 days of implicit acquisition, the fMRI results showed activations in a network of brain regions including the inferior frontal (centered on BA 44/45) and the medial prefrontal regions (centered on BA 8/32). Importantly, and central to this study, the inclusion of a naive preference fMRI baseline measurement allowed us to conclude that these fMRI findings were the intrinsic outcomes of the learning process itself and not a reflection of a preexisting functionality recruited during classification, independent of acquisition. Support for the implicit nature of the knowledge utilized during preference classification on day 5 come from the fact that the basal ganglia, associated with implicit procedural learning, were activated during classification, while the medial temporal lobe system, associated with explicit declarative memory, was consistently deactivated. Thus, preference classification in combination with structural mere-exposure can be used to investigate structural sequence processing (syntax) in unsupervised AGL paradigms with proper learning designs.
Semantics Boosts Syntax in Artificial Grammar Learning Tasks with Recursion
ERIC Educational Resources Information Center
Fedor, Anna; Varga, Mate; Szathmary, Eors
2012-01-01
Center-embedded recursion (CER) in natural language is exemplified by sentences such as "The malt that the rat ate lay in the house." Parsing center-embedded structures is in the focus of attention because this could be one of the cognitive capacities that make humans distinct from all other animals. The ability to parse CER is usually…
Measuring strategic control in implicit learning: how and why?
Norman, Elisabeth
2015-01-01
Several methods have been developed for measuring the extent to which implicitly learned knowledge can be applied in a strategic, flexible manner. Examples include generation exclusion tasks in Serial Reaction Time (SRT) learning (Goschke, 1998; Destrebecqz and Cleeremans, 2001) and 2-grammar classification tasks in Artificial Grammar Learning (AGL; Dienes et al., 1995; Norman et al., 2011). Strategic control has traditionally been used as a criterion for determining whether acquired knowledge is conscious or unconscious, or which properties of knowledge are consciously available. In this paper I first summarize existing methods that have been developed for measuring strategic control in the SRT and AGL tasks. I then address some methodological and theoretical questions. Methodological questions concern choice of task, whether the measurement reflects inhibitory control or task switching, and whether or not strategic control should be measured on a trial-by-trial basis. Theoretical questions concern the rationale for including measurement of strategic control, what form of knowledge is strategically controlled, and how strategic control can be combined with subjective awareness measures.
Measuring strategic control in implicit learning: how and why?
Norman, Elisabeth
2015-01-01
Several methods have been developed for measuring the extent to which implicitly learned knowledge can be applied in a strategic, flexible manner. Examples include generation exclusion tasks in Serial Reaction Time (SRT) learning (Goschke, 1998; Destrebecqz and Cleeremans, 2001) and 2-grammar classification tasks in Artificial Grammar Learning (AGL; Dienes et al., 1995; Norman et al., 2011). Strategic control has traditionally been used as a criterion for determining whether acquired knowledge is conscious or unconscious, or which properties of knowledge are consciously available. In this paper I first summarize existing methods that have been developed for measuring strategic control in the SRT and AGL tasks. I then address some methodological and theoretical questions. Methodological questions concern choice of task, whether the measurement reflects inhibitory control or task switching, and whether or not strategic control should be measured on a trial-by-trial basis. Theoretical questions concern the rationale for including measurement of strategic control, what form of knowledge is strategically controlled, and how strategic control can be combined with subjective awareness measures. PMID:26441809
Milne, Alice E; Petkov, Christopher I; Wilson, Benjamin
2017-07-05
Language flexibly supports the human ability to communicate using different sensory modalities, such as writing and reading in the visual modality and speaking and listening in the auditory domain. Although it has been argued that nonhuman primate communication abilities are inherently multisensory, direct behavioural comparisons between human and nonhuman primates are scant. Artificial grammar learning (AGL) tasks and statistical learning experiments can be used to emulate ordering relationships between words in a sentence. However, previous comparative work using such paradigms has primarily investigated sequence learning within a single sensory modality. We used an AGL paradigm to evaluate how humans and macaque monkeys learn and respond to identically structured sequences of either auditory or visual stimuli. In the auditory and visual experiments, we found that both species were sensitive to the ordering relationships between elements in the sequences. Moreover, the humans and monkeys produced largely similar response patterns to the visual and auditory sequences, indicating that the sequences are processed in comparable ways across the sensory modalities. These results provide evidence that human sequence processing abilities stem from an evolutionarily conserved capacity that appears to operate comparably across the sensory modalities in both human and nonhuman primates. The findings set the stage for future neurobiological studies to investigate the multisensory nature of these sequencing operations in nonhuman primates and how they compare to related processes in humans. Copyright © 2017 The Author(s). Published by Elsevier Ltd.. All rights reserved.
Visual artificial grammar learning in dyslexia: A meta-analysis.
van Witteloostuijn, Merel; Boersma, Paul; Wijnen, Frank; Rispens, Judith
2017-11-01
Literacy impairments in dyslexia have been hypothesized to be (partly) due to an implicit learning deficit. However, studies of implicit visual artificial grammar learning (AGL) have often yielded null results. The aim of this study is to weigh the evidence collected thus far by performing a meta-analysis of studies on implicit visual AGL in dyslexia. Thirteen studies were selected through a systematic literature search, representing data from 255 participants with dyslexia and 292 control participants (mean age range: 8.5-36.8 years old). If the 13 selected studies constitute a random sample, individuals with dyslexia perform worse on average than non-dyslexic individuals (average weighted effect size=0.46, 95% CI [0.14 … 0.77], p=0.008), with a larger effect in children than in adults (p=0.041; average weighted effect sizes 0.71 [sig.] versus 0.16 [non-sig.]). However, the presence of a publication bias indicates the existence of missing studies that may well null the effect. While the studies under investigation demonstrate that implicit visual AGL is impaired in dyslexia (more so in children than in adults, if in adults at all), the detected publication bias suggests that the effect might in fact be zero. Copyright © 2017 The Author(s). Published by Elsevier Ltd.. All rights reserved.
Stobbe, Nina; Westphal-Fitch, Gesche; Aust, Ulrike; Fitch, W. Tecumseh
2012-01-01
Artificial grammar learning (AGL) provides a useful tool for exploring rule learning strategies linked to general purpose pattern perception. To be able to directly compare performance of humans with other species with different memory capacities, we developed an AGL task in the visual domain. Presenting entire visual patterns simultaneously instead of sequentially minimizes the amount of required working memory. This approach allowed us to evaluate performance levels of two bird species, kea (Nestor notabilis) and pigeons (Columba livia), in direct comparison to human participants. After being trained to discriminate between two types of visual patterns generated by rules at different levels of computational complexity and presented on a computer screen, birds and humans received further training with a series of novel stimuli that followed the same rules, but differed in various visual features from the training stimuli. Most avian and all human subjects continued to perform well above chance during this initial generalization phase, suggesting that they were able to generalize learned rules to novel stimuli. However, detailed testing with stimuli that violated the intended rules regarding the exact number of stimulus elements indicates that neither bird species was able to successfully acquire the intended pattern rule. Our data suggest that, in contrast to humans, these birds were unable to master a simple rule above the finite-state level, even with simultaneous item presentation and despite intensive training. PMID:22688635
Efficient Grammar Induction Algorithm with Parse Forests from Real Corpora
NASA Astrophysics Data System (ADS)
Kurihara, Kenichi; Kameya, Yoshitaka; Sato, Taisuke
The task of inducing grammar structures has received a great deal of attention. The reasons why researchers have studied are different; to use grammar induction as the first stage in building large treebanks or to make up better language models. However, grammar induction has inherent computational complexity. To overcome it, some grammar induction algorithms add new production rules incrementally. They refine the grammar while keeping their computational complexity low. In this paper, we propose a new efficient grammar induction algorithm. Although our algorithm is similar to algorithms which learn a grammar incrementally, our algorithm uses the graphical EM algorithm instead of the Inside-Outside algorithm. We report results of learning experiments in terms of learning speeds. The results show that our algorithm learns a grammar in constant time regardless of the size of the grammar. Since our algorithm decreases syntactic ambiguities in each step, our algorithm reduces required time for learning. This constant-time learning considerably affects learning time for larger grammars. We also reports results of evaluation of criteria to choose nonterminals. Our algorithm refines a grammar based on a nonterminal in each step. Since there can be several criteria to decide which nonterminal is the best, we evaluate them by learning experiments.
Artificial grammar learning meets formal language theory: an overview
Fitch, W. Tecumseh; Friederici, Angela D.
2012-01-01
Formal language theory (FLT), part of the broader mathematical theory of computation, provides a systematic terminology and set of conventions for describing rules and the structures they generate, along with a rich body of discoveries and theorems concerning generative rule systems. Despite its name, FLT is not limited to human language, but is equally applicable to computer programs, music, visual patterns, animal vocalizations, RNA structure and even dance. In the last decade, this theory has been profitably used to frame hypotheses and to design brain imaging and animal-learning experiments, mostly using the ‘artificial grammar-learning’ paradigm. We offer a brief, non-technical introduction to FLT and then a more detailed analysis of empirical research based on this theory. We suggest that progress has been hampered by a pervasive conflation of distinct issues, including hierarchy, dependency, complexity and recursion. We offer clarifications of several relevant hypotheses and the experimental designs necessary to test them. We finally review the recent brain imaging literature, using formal languages, identifying areas of convergence and outstanding debates. We conclude that FLT has much to offer scientists who are interested in rigorous empirical investigations of human cognition from a neuroscientific and comparative perspective. PMID:22688631
Öttl, Birgit; Jäger, Gerhard; Kaup, Barbara
2015-01-01
This study investigated whether formal complexity, as described by the Chomsky Hierarchy, corresponds to cognitive complexity during language learning. According to the Chomsky Hierarchy, nested dependencies (context-free) are less complex than cross-serial dependencies (mildly context-sensitive). In two artificial grammar learning (AGL) experiments participants were presented with a language containing either nested or cross-serial dependencies. A learning effect for both types of dependencies could be observed, but no difference between dependency types emerged. These behavioral findings do not seem to reflect complexity differences as described in the Chomsky Hierarchy. This study extends previous findings in demonstrating learning effects for nested and cross-serial dependencies with more natural stimulus materials in a classical AGL paradigm after only one hour of exposure. The current findings can be taken as a starting point for further exploring the degree to which the Chomsky Hierarchy reflects cognitive processes.
Öttl, Birgit; Jäger, Gerhard; Kaup, Barbara
2015-01-01
This study investigated whether formal complexity, as described by the Chomsky Hierarchy, corresponds to cognitive complexity during language learning. According to the Chomsky Hierarchy, nested dependencies (context-free) are less complex than cross-serial dependencies (mildly context-sensitive). In two artificial grammar learning (AGL) experiments participants were presented with a language containing either nested or cross-serial dependencies. A learning effect for both types of dependencies could be observed, but no difference between dependency types emerged. These behavioral findings do not seem to reflect complexity differences as described in the Chomsky Hierarchy. This study extends previous findings in demonstrating learning effects for nested and cross-serial dependencies with more natural stimulus materials in a classical AGL paradigm after only one hour of exposure. The current findings can be taken as a starting point for further exploring the degree to which the Chomsky Hierarchy reflects cognitive processes. PMID:25885790
ERIC Educational Resources Information Center
Topolinski, Sascha; Strack, Fritz
2009-01-01
People can intuitively detect whether a word triad has a common remote associate (coherent) or does not have one (incoherent) before and independently of actually retrieving the common associate. The authors argue that semantic coherence increases the processing fluency for coherent triads and that this increased fluency triggers a brief and…
Implicit preferences: the role(s) of familiarity in the structural mere exposure effect.
Zizak, Diane M; Reber, Arthur S
2004-06-01
In four experiments using an artificial grammar (AG) learning procedure, the authors examined the links between the "classic" mere exposure effect [heightened affect for previously encountered stimulus items (Bornstein, 1989; Zajonc, 1968)] and the "structural" mere exposure effect [greater hedonic appreciation for novel stimuli that conform to an implicitly acquired underlying rule system (Gordon & Holyoak, 1983)]. After learning, participants: (a) classified stimuli according to whether they conformed to the principles of the grammar and, (b) rated them in terms of how much they liked them. In some experiments unusual and unfamiliar symbols were used to instantiate the AG, in others highly familiar characters were used. In all cases participants showed standard AG learning. However, whether the two exposure effects emerged was dependent on symbol familiarity. Symbols with high a priori familiarity produced a structural mere exposure effect. Moderately familiar symbols produced only the classic, but not the structural, mere exposure effect. Highly unfamiliar symbols produced neither exposure effect. Results are discussed in the context of implicit learning theory and implications for a general theory of aesthetics are presented.
The neurobiology of syntax: beyond string sets.
Petersson, Karl Magnus; Hagoort, Peter
2012-07-19
The human capacity to acquire language is an outstanding scientific challenge to understand. Somehow our language capacities arise from the way the human brain processes, develops and learns in interaction with its environment. To set the stage, we begin with a summary of what is known about the neural organization of language and what our artificial grammar learning (AGL) studies have revealed. We then review the Chomsky hierarchy in the context of the theory of computation and formal learning theory. Finally, we outline a neurobiological model of language acquisition and processing based on an adaptive, recurrent, spiking network architecture. This architecture implements an asynchronous, event-driven, parallel system for recursive processing. We conclude that the brain represents grammars (or more precisely, the parser/generator) in its connectivity, and its ability for syntax is based on neurobiological infrastructure for structured sequence processing. The acquisition of this ability is accounted for in an adaptive dynamical systems framework. Artificial language learning (ALL) paradigms might be used to study the acquisition process within such a framework, as well as the processing properties of the underlying neurobiological infrastructure. However, it is necessary to combine and constrain the interpretation of ALL results by theoretical models and empirical studies on natural language processing. Given that the faculty of language is captured by classical computational models to a significant extent, and that these can be embedded in dynamic network architectures, there is hope that significant progress can be made in understanding the neurobiology of the language faculty.
The neurobiology of syntax: beyond string sets
Petersson, Karl Magnus; Hagoort, Peter
2012-01-01
The human capacity to acquire language is an outstanding scientific challenge to understand. Somehow our language capacities arise from the way the human brain processes, develops and learns in interaction with its environment. To set the stage, we begin with a summary of what is known about the neural organization of language and what our artificial grammar learning (AGL) studies have revealed. We then review the Chomsky hierarchy in the context of the theory of computation and formal learning theory. Finally, we outline a neurobiological model of language acquisition and processing based on an adaptive, recurrent, spiking network architecture. This architecture implements an asynchronous, event-driven, parallel system for recursive processing. We conclude that the brain represents grammars (or more precisely, the parser/generator) in its connectivity, and its ability for syntax is based on neurobiological infrastructure for structured sequence processing. The acquisition of this ability is accounted for in an adaptive dynamical systems framework. Artificial language learning (ALL) paradigms might be used to study the acquisition process within such a framework, as well as the processing properties of the underlying neurobiological infrastructure. However, it is necessary to combine and constrain the interpretation of ALL results by theoretical models and empirical studies on natural language processing. Given that the faculty of language is captured by classical computational models to a significant extent, and that these can be embedded in dynamic network architectures, there is hope that significant progress can be made in understanding the neurobiology of the language faculty. PMID:22688633
The relationship between the structural mere exposure effect and the implicit learning process.
Newell, B R; Bright, J E
2001-11-01
Three experiments are reported that investigate the relationship between the structural mere exposure effect (SMEE) and implicit learning in an artificial grammar task. Subjects were presented with stimuli generated from a finite-state grammar and were asked to memorize them. In a subsequent test phase subjects were required first to rate how much they liked novel items, and second whether or not they thought items conformed to the rules of the grammar. A small but consistent effect of grammaticality was found on subjects' liking ratings (a "structural mere exposure effect") in all three experiments, but only when encoding and testing conditions were consistent. A change in the surface representation of stimuli between encoding and test (Experiment 1), memorizing fragments of items and being tested on whole items (Experiment 2), and a mismatch of processing operations between encoding and test (Experiment 3) all removed the SMEE. In contrast, the effect of grammaticality on rule judgements remained intact in the face of all three manipulations. It is suggested that rule judgements reflect attempts to explicitly recall information about training items, whereas the SMEE can be explained in terms of an attribution of processing fluency.
Topolinski, Sascha; Strack, Fritz
2009-02-01
People can intuitively detect whether a word triad has a common remote associate (coherent) or does not have one (incoherent) before and independently of actually retrieving the common associate. The authors argue that semantic coherence increases the processing fluency for coherent triads and that this increased fluency triggers a brief and subtle positive affect, which is the experiential basis of these intuitions. In a series of 11 experiments with 3 different fluency manipulations (figure-ground contrast, repeated exposure, and subliminal visual priming) and 3 different affect inductions (short-timed facial feedback, subliminal facial priming, and affect-laden word triads), high fluency and positive affect independently and additively increased the probability that triads would be judged as coherent, irrespective of actual coherence. The authors could equalize and even reverse coherence judgments (i.e., incoherent triads were judged to be coherent more frequently than were coherent triads). When explicitly instructed, participants were unable to correct their judgments for the influence of affect, although they were aware of the manipulation. The impact of fluency and affect was also generalized to intuitions of visual coherence and intuitions of grammaticality in an artificial grammar learning paradigm. (PsycINFO Database Record (c) 2009 APA, all rights reserved).
Helman, Shaun; Berry, Dianne C
2003-07-01
The artificial grammar (AG) learning literature (see, e.g., Mathews et al., 1989; Reber, 1967) has relied heavily on a single measure of implicitly acquired knowledge. Recent work comparing this measure (string classification) with a more indirect measure in which participants make liking ratings of novel stimuli (e.g., Manza & Bornstein, 1995; Newell & Bright, 2001) has shown that string classification (which we argue can be thought of as an explicit, rather than an implicit, measure of memory) gives rise to more explicit knowledge of the grammatical structure in learning strings and is more resilient to changes in surface features and processing between encoding and retrieval. We report data from two experiments that extend these findings. In Experiment 1, we showed that a divided attention manipulation (at retrieval) interfered with explicit retrieval of AG knowledge but did not interfere with implicit retrieval. In Experiment 2, we showed that forcing participants to respond within a very tight deadline resulted in the same asymmetric interference pattern between the tasks. In both experiments, we also showed that the type of information being retrieved influenced whether interference was observed. The results are discussed in terms of the relatively automatic nature of implicit retrieval and also with respect to the differences between analytic and nonanalytic processing (Whittlesea & Price, 2001).
The nature of declarative and nondeclarative knowledge for implicit and explicit learning.
Kirkhart, M W
2001-10-01
Using traditional implicit and explicit artificial-grammar learning tasks, the author investigated the similarities and differences between the acquisition of declarative knowledge under implicit and explicit learning conditions and the functions of the declarative knowledge during testing. Results suggested that declarative knowledge was not predictive of or required for implicit learning but was related to consistency in implicit learning performance. In contrast, declarative knowledge was predictive of and required for explicit learning and was related to consistency in performance. For explicit learning, the declarative knowledge functioned as a guide for other behavior. In contrast, for implicit learning, the declarative knowledge did not serve as a guide for behavior but was instead a post hoc description of the most commonly seen stimuli.
Grammar and Grammaring: Toward Modes for English Grammar Teaching in China
ERIC Educational Resources Information Center
Nan, Chengyu
2015-01-01
The value of grammar instruction in foreign language learning and teaching has been a focus of debate for quite some time, which has resulted in different views on grammar and grammar teaching as well as different teaching approaches based on different perspectives or in different language learning contexts. To explore some modes for grammar…
Two-Dimensional Grammars And Their Applications To Artificial Intelligence
NASA Astrophysics Data System (ADS)
Lee, Edward T.
1987-05-01
During the past several years, the concepts and techniques of two-dimensional grammars1,2 have attracted growing attention as promising avenues of approach to problems in picture generation as well as in picture description3 representation, recognition, transformation and manipulation. Two-dimensional grammar techniques serve the purpose of exploiting the structure or underlying relationships in a picture. This approach attempts to describe a complex picture in terms of their components and their relative positions. This resembles the way a sentence is described in terms of its words and phrases, and the terms structural picture recognition, linguistic picture recognition, or syntactic picture recognition are often used. By using this approach, the problem of picture recognition becomes similar to that of phrase recognition in a language. However, describing pictures using a string grammar (one-dimensional grammar), the only relation between sub-pictures and/or primitives is the concatenation; that is each picture or primitive can be connected only at the left or right. This one-dimensional relation has not been very effective in describing two-dimensional pictures. A natural generaliza-tion is to use two-dimensional grammars. In this paper, two-dimensional grammars and their applications to artificial intelligence are presented. Picture grammars and two-dimensional grammars are introduced and illustrated by examples. In particular, two-dimensional grammars for generating all possible squares and all possible rhombuses are presented. The applications of two-dimensional grammars to solving region filling problems are discussed. An algorithm for region filling using two-dimensional grammars is presented together with illustrative examples. The advantages of using this algorithm in terms of computation time are also stated. A high-level description of a two-level picture generation system is proposed. The first level is the picture primitive generation using two-dimensional grammars. The second level is picture generation using either string description or entity-relationship (ER) diagram description. Illustrative examples are also given. The advantages of ER diagram description together with its comparison to string description are also presented. The results obtained in this paper may have useful applications in artificial intelligence, robotics, expert systems, picture processing, pattern recognition, knowledge engineering and pictorial database design. Furthermore, examples related to satellite surveillance and identifications are also included.
Domain-general sequence learning deficit in specific language impairment.
Lukács, Agnes; Kemény, Ferenc
2014-05-01
Grammar-specific accounts of specific language impairment (SLI) have been challenged by recent claims that language problems are a consequence of impairments in domain-general mechanisms of learning that also play a key role in the process of language acquisition. Our studies were designed to test the generality and nature of this learning deficit by focusing on both sequential and nonsequential, and on verbal and nonverbal, domains. Twenty-nine children with SLI were compared with age-matched typically developing (TD) control children using (a) a serial reaction time task (SRT), testing the learning of motor sequences; (b) an artificial grammar learning (AGL) task, testing the extraction of regularities from auditory sequences; and (c) a weather prediction task (WP), testing probabilistic category learning in a nonsequential task. For the 2 sequence learning tasks, a significantly smaller proportion of children showed evidence of learning in the SLI than in the TD group (χ2 tests, p < .001 for the SRT task, p < .05 for the AGL task), whereas the proportion of learners on the WP task was the same in the 2 groups. The level of learning for SLI learners was comparable with that of TD children on all tasks (with great individual variation). Taken together, these findings suggest that domain-general processes of implicit sequence learning tend to be impaired in SLI. Further research is needed to clarify the relationship of deficits in implicit learning and language.
Implicit Learning of Arithmetic Regularities Is Facilitated by Proximal Contrast
Prather, Richard W.
2012-01-01
Natural number arithmetic is a simple, powerful and important symbolic system. Despite intense focus on learning in cognitive development and educational research many adults have weak knowledge of the system. In current study participants learn arithmetic principles via an implicit learning paradigm. Participants learn not by solving arithmetic equations, but through viewing and evaluating example equations, similar to the implicit learning of artificial grammars. We expand this to the symbolic arithmetic system. Specifically we find that exposure to principle-inconsistent examples facilitates the acquisition of arithmetic principle knowledge if the equations are presented to the learning in a temporally proximate fashion. The results expand on research of the implicit learning of regularities and suggest that contrasting cases, show to facilitate explicit arithmetic learning, is also relevant to implicit learning of arithmetic. PMID:23119101
Attempting to model dissociations of memory.
Reber, Paul J.
2002-05-01
Kinder and Shanks report simulations aimed at describing a single-system model of the dissociation between declarative and non-declarative memory. This model attempts to capture both Artificial Grammar Learning (AGL) and recognition memory with a single underlying representation. However, the model fails to reflect an essential feature of recognition memory - that it occurs after a single exposure - and the simulations may instead describe a potentially interesting property of over-training non-declarative memory.
Hemispheric Asymmetries in Repetition Enhancement and Suppression Effects in the Newborn Brain
Bouchon, Camillia; Nazzi, Thierry; Gervain, Judit
2015-01-01
Background The repeated presentation of stimuli typically attenuates neural responses (repetition suppression) or, less commonly, increases them (repetition enhancement) when stimuli are highly complex, degraded or presented under noisy conditions. In adult functional neuroimaging research, these repetition effects are considered as neural correlates of habituation. The development and respective functional significance of these effects in infancy remain largely unknown. Objective This study investigates repetition effects in newborns using functional near-infrared spectroscopy, and specifically the role of stimulus complexity in evoking a repetition enhancement vs. a repetition suppression response, following up on Gervain et al. (2008). In that study, abstract rule-learning was found at birth in cortical areas specific to speech processing, as evidenced by a left-lateralized repetition enhancement of the hemodynamic response to highly variable speech sequences conforming to a repetition-based ABB artificial grammar, but not to a random ABC grammar. Methods Here, the same paradigm was used to investigate how simpler stimuli (12 different sequences per condition as opposed to 140), and simpler presentation conditions (blocked rather than interleaved) would influence repetition effects at birth. Results Results revealed that the two grammars elicited different dynamics in the two hemispheres. In left fronto-temporal areas, we reproduce the early perceptual discrimination of the two grammars, with ABB giving rise to a greater response at the beginning of the experiment than ABC. In addition, the ABC grammar evoked a repetition enhancement effect over time, whereas a stable response was found for the ABB grammar. Right fronto-temporal areas showed neither initial discrimination, nor change over time to either pattern. Conclusion Taken together with Gervain et al. (2008), this is the first evidence that manipulating methodological factors influences the presence or absence of neural repetition enhancement effects in newborns and stimulus variability appears a particularly important factor. Further, this temporal modulation is restricted to the left hemisphere, confirming its specialization for learning linguistic regularities from birth. PMID:26485434
Hemispheric Asymmetries in Repetition Enhancement and Suppression Effects in the Newborn Brain.
Bouchon, Camillia; Nazzi, Thierry; Gervain, Judit
2015-01-01
The repeated presentation of stimuli typically attenuates neural responses (repetition suppression) or, less commonly, increases them (repetition enhancement) when stimuli are highly complex, degraded or presented under noisy conditions. In adult functional neuroimaging research, these repetition effects are considered as neural correlates of habituation. The development and respective functional significance of these effects in infancy remain largely unknown. This study investigates repetition effects in newborns using functional near-infrared spectroscopy, and specifically the role of stimulus complexity in evoking a repetition enhancement vs. a repetition suppression response, following up on Gervain et al. (2008). In that study, abstract rule-learning was found at birth in cortical areas specific to speech processing, as evidenced by a left-lateralized repetition enhancement of the hemodynamic response to highly variable speech sequences conforming to a repetition-based ABB artificial grammar, but not to a random ABC grammar. Here, the same paradigm was used to investigate how simpler stimuli (12 different sequences per condition as opposed to 140), and simpler presentation conditions (blocked rather than interleaved) would influence repetition effects at birth. Results revealed that the two grammars elicited different dynamics in the two hemispheres. In left fronto-temporal areas, we reproduce the early perceptual discrimination of the two grammars, with ABB giving rise to a greater response at the beginning of the experiment than ABC. In addition, the ABC grammar evoked a repetition enhancement effect over time, whereas a stable response was found for the ABB grammar. Right fronto-temporal areas showed neither initial discrimination, nor change over time to either pattern. Taken together with Gervain et al. (2008), this is the first evidence that manipulating methodological factors influences the presence or absence of neural repetition enhancement effects in newborns and stimulus variability appears a particularly important factor. Further, this temporal modulation is restricted to the left hemisphere, confirming its specialization for learning linguistic regularities from birth.
Effective Grammar Teaching: Lessons from Confident Grammar Teachers
ERIC Educational Resources Information Center
Petraki, Eleni; Hill, Deborah
2011-01-01
Learning the grammar of a language is an integral part of learning a second or foreign language. Studies on teacher beliefs, teacher language awareness (TLA) and grammar teaching have reported that the majority of English language teachers recognise the importance of teaching grammar (Borg, 2001; Borg & Burns, 2008). At the same time, many…
Video Game Based Learning in English Grammar
ERIC Educational Resources Information Center
Singaravelu, G.
2008-01-01
The study enlightens the effectiveness of Video Game Based Learning in English Grammar at standard VI. A Video Game package was prepared and it consisted of self-learning activities in play way manner which attracted the minds of the young learners. Chief objective: Find out the effectiveness of Video-Game based learning in English grammar.…
Wilson, Benjamin; Smith, Kenny; Petkov, Christopher I
2015-03-01
Artificial grammars (AG) can be used to generate rule-based sequences of stimuli. Some of these can be used to investigate sequence-processing computations in non-human animals that might be related to, but not unique to, human language. Previous AG learning studies in non-human animals have used different AGs to separately test for specific sequence-processing abilities. However, given that natural language and certain animal communication systems (in particular, song) have multiple levels of complexity, mixed-complexity AGs are needed to simultaneously evaluate sensitivity to the different features of the AG. Here, we tested humans and Rhesus macaques using a mixed-complexity auditory AG, containing both adjacent (local) and non-adjacent (longer-distance) relationships. Following exposure to exemplary sequences generated by the AG, humans and macaques were individually tested with sequences that were either consistent with the AG or violated specific adjacent or non-adjacent relationships. We observed a considerable level of cross-species correspondence in the sensitivity of both humans and macaques to the adjacent AG relationships and to the statistical properties of the sequences. We found no significant sensitivity to the non-adjacent AG relationships in the macaques. A subset of humans was sensitive to this non-adjacent relationship, revealing interesting between- and within-species differences in AG learning strategies. The results suggest that humans and macaques are largely comparably sensitive to the adjacent AG relationships and their statistical properties. However, in the presence of multiple cues to grammaticality, the non-adjacent relationships are less salient to the macaques and many of the humans. © 2015 The Authors. European Journal of Neuroscience published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd.
ERIC Educational Resources Information Center
Berche, Merce Pujol
1998-01-01
A discussion of the term "grammar" in the context of second-language teaching and learning looks at various approaches to/definitions of grammar, including linguistic, psychological, sociological, and pedagogical grammars. Pedagogical grammars are viewed as learning tools for the second-language classroom, and their properties and components are…
Implicit learning in children and adults with Williams syndrome.
Don, Audrey J; Schellenberg, E Glenn; Reber, Arthur S; DiGirolamo, Kristen M; Wang, Paul P
2003-01-01
In comparison to explicit learning, implicit learning is hypothesized to be a phylogenetically older form of learning that is important in early developmental processes (e.g., natural language acquisition, socialization)and relatively impervious to individual differences in age and IQ. We examined implicit learning in a group of children and adults (9.49 years of age)with Williams syndrome (WS)and in a comparison group of typically developing individuals matched for chronological age. Participants were tested in an artificial-grammar learning paradigm and in a rotor-pursuit task. For both groups, implicit learning was largely independent of age. Both groups showed evidence of implicit learning but the comparison group outperformed the WS group on both tasks. Performance advantages for the comparison group were no longer significant when group differences in working memory or nonverbal intelligence were held constant.
Commitment-Based Learning of Hidden Linguistic Structures
ERIC Educational Resources Information Center
Akers, Crystal Gayle
2012-01-01
Learners must simultaneously learn a grammar and a lexicon from observed forms, yet some structures that the grammar and lexicon reference are unobservable in the acoustic signal. Moreover, these "hidden" structures interact: the grammar maps an underlying form to a particular interpretation. Learning one structure depends on learning…
NASA Astrophysics Data System (ADS)
Ducksbury, P. G.; Kennedy, C.; Lock, Z.
2003-09-01
Grammars have been used for the formal specification of programming languages, and there are a number of commercial products which now use grammars. However, these have tended to be focused mainly on flow control type applications. In this paper, we consider the potential use of picture grammars and inductive logic programming in generic image understanding applications, such as object recognition. A number of issues are considered, such as what type of grammar needs to be used, how to construct the grammar with its associated attributes, difficulties encountered with parsing grammars followed by issues of automatically learning grammars using a genetic algorithm. The concept of inductive logic programming is then introduced as a method that can overcome some of the earlier difficulties.
Automatic event recognition and anomaly detection with attribute grammar by learning scene semantics
NASA Astrophysics Data System (ADS)
Qi, Lin; Yao, Zhenyu; Li, Li; Dong, Junyu
2007-11-01
In this paper we present a novel framework for automatic event recognition and abnormal behavior detection with attribute grammar by learning scene semantics. This framework combines learning scene semantics by trajectory analysis and constructing attribute grammar-based event representation. The scene and event information is learned automatically. Abnormal behaviors that disobey scene semantics or event grammars rules are detected. By this method, an approach to understanding video scenes is achieved. Further more, with this prior knowledge, the accuracy of abnormal event detection is increased.
Impact of Gadget Based Learning of Grammar in English at Standard II
ERIC Educational Resources Information Center
Singaravelu, G.
2014-01-01
The study enlightens the impact of Gadget Based Learning of English Grammar at standard II. Objectives of the study is to find out the learning problems of the students of standard II in Learning English Grammar in Shri Vani Vilas Middle School and to find whether there is any significant difference in achievement mean score between pre test of…
ERIC Educational Resources Information Center
Servetti, Sara
2010-01-01
This paper focuses on cooperative learning (CL) used as a correction and grammar revision technique and considers the data collected in six Italian parallel classes, three of which (sample classes) corrected mistakes and revised grammar through cooperative learning, while the other three (control classes) in a traditional way. All the classes…
Density of Visual Input Enhancement and Grammar Learning: A Research Proposal
ERIC Educational Resources Information Center
Tran, Thu Hoang
2009-01-01
Research in the field of second language acquisition (SLA) has been done to ascertain the effectiveness of visual input enhancement (VIE) on grammar learning. However, one issue remains unexplored: the effects of VIE density on grammar learning. This paper presents a research proposal to investigate the effects of the density of VIE on English…
Sleep-Driven Computations in Speech Processing
Frost, Rebecca L. A.; Monaghan, Padraic
2017-01-01
Acquiring language requires segmenting speech into individual words, and abstracting over those words to discover grammatical structure. However, these tasks can be conflicting—on the one hand requiring memorisation of precise sequences that occur in speech, and on the other requiring a flexible reconstruction of these sequences to determine the grammar. Here, we examine whether speech segmentation and generalisation of grammar can occur simultaneously—with the conflicting requirements for these tasks being over-come by sleep-related consolidation. After exposure to an artificial language comprising words containing non-adjacent dependencies, participants underwent periods of consolidation involving either sleep or wake. Participants who slept before testing demonstrated a sustained boost to word learning and a short-term improvement to grammatical generalisation of the non-adjacencies, with improvements after sleep outweighing gains seen after an equal period of wake. Thus, we propose that sleep may facilitate processing for these conflicting tasks in language acquisition, but with enhanced benefits for speech segmentation. PMID:28056104
Sleep-Driven Computations in Speech Processing.
Frost, Rebecca L A; Monaghan, Padraic
2017-01-01
Acquiring language requires segmenting speech into individual words, and abstracting over those words to discover grammatical structure. However, these tasks can be conflicting-on the one hand requiring memorisation of precise sequences that occur in speech, and on the other requiring a flexible reconstruction of these sequences to determine the grammar. Here, we examine whether speech segmentation and generalisation of grammar can occur simultaneously-with the conflicting requirements for these tasks being over-come by sleep-related consolidation. After exposure to an artificial language comprising words containing non-adjacent dependencies, participants underwent periods of consolidation involving either sleep or wake. Participants who slept before testing demonstrated a sustained boost to word learning and a short-term improvement to grammatical generalisation of the non-adjacencies, with improvements after sleep outweighing gains seen after an equal period of wake. Thus, we propose that sleep may facilitate processing for these conflicting tasks in language acquisition, but with enhanced benefits for speech segmentation.
Verhagen, Josje; Leseman, Paul
2016-01-01
Previous studies show that verbal short-term memory (VSTM) is related to vocabulary learning, whereas verbal working memory (VWM) is related to grammar learning in children learning a second language (L2) in the classroom. In this study, we investigated whether the same relationships apply to children learning an L2 in a naturalistic setting and to monolingual children. We also investigated whether relationships with verbal memory differ depending on the type of grammar skill investigated (i.e., morphology vs. syntax). Participants were 63 Turkish children who learned Dutch as an L2 and 45 Dutch monolingual children (mean age = 5 years). Children completed a series of VSTM and VWM tasks, a Dutch vocabulary task, and a Dutch grammar task. A confirmatory factor analysis showed that VSTM and VWM represented two separate latent factors in both groups. Structural equation modeling showed that VSTM, treated as a latent factor, significantly predicted vocabulary and grammar. VWM, treated as a latent factor, predicted only grammar. Both memory factors were significantly related to the acquisition of morphology and syntax. There were no differences between the two groups. These results show that (a) VSTM and VWM are differentially associated with language learning and (b) the same memory mechanisms are employed for learning vocabulary and grammar in L1 children and in L2 children who learn their L2 naturalistically. Copyright © 2015 Elsevier Inc. All rights reserved.
Learning and liking of melody and harmony: further studies in artificial grammar learning.
Loui, Psyche
2012-10-01
Much of what we know and love about music is based on implicitly acquired mental representations of musical pitches and the relationships between them. While previous studies have shown that these mental representations of music can be acquired rapidly and can influence preference, it is still unclear which aspects of music influence learning and preference formation. This article reports two experiments that use an artificial musical system to examine two questions: (1) which aspects of music matter most for learning, and (2) which aspects of music matter most for preference formation. Two aspects of music are tested: melody and harmony. In Experiment 1 we tested the learning and liking of a new musical system that is manipulated melodically so that only some of the possible conditional probabilities between successive notes are presented. In Experiment 2 we administered the same tests for learning and liking, but we used a musical system that is manipulated harmonically to eliminate the property of harmonic whole-integer ratios between pitches. Results show that disrupting melody (Experiment 1) disabled the learning of music without disrupting preference formation, whereas disrupting harmony (Experiment 2) does not affect learning and memory but disrupts preference formation. Results point to a possible dissociation between learning and preference in musical knowledge. Copyright © 2012 Cognitive Science Society, Inc.
Norman, Elisabeth; Price, Mark C.
2012-01-01
In the current paper, we first evaluate the suitability of traditional serial reaction time (SRT) and artificial grammar learning (AGL) experiments for measuring implicit learning of social signals. We then report the results of a novel sequence learning task which combines aspects of the SRT and AGL paradigms to meet our suggested criteria for how implicit learning experiments can be adapted to increase their relevance to situations of social intuition. The sequences followed standard finite-state grammars. Sequence learning and consciousness of acquired knowledge were compared between 2 groups of 24 participants viewing either sequences of individually presented letters or sequences of body-posture pictures, which were described as series of yoga movements. Participants in both conditions showed above-chance classification accuracy, indicating that sequence learning had occurred in both stimulus conditions. This shows that sequence learning can still be found when learning procedures reflect the characteristics of social intuition. Rule awareness was measured using trial-by-trial evaluation of decision strategy (Dienes & Scott, 2005; Scott & Dienes, 2008). For letters, sequence classification was best on trials where participants reported responding on the basis of explicit rules or memory, indicating some explicit learning in this condition. For body-posture, classification was not above chance on these types of trial, but instead showed a trend to be best on those trials where participants reported that their responses were based on intuition, familiarity, or random choice, suggesting that learning was more implicit. Results therefore indicate that the use of traditional stimuli in research on sequence learning might underestimate the extent to which learning is implicit in domains such as social learning, contributing to ongoing debate about levels of conscious awareness in implicit learning. PMID:22679467
ERIC Educational Resources Information Center
Hua, Congchao; Li, Bin
2015-01-01
Popular culture materials are generally believed to have positive effects on L2 learning. This study examined the effectiveness of popular culture materials in enhancing Hong Kong EFL students' grammar learning. In a quasi-experimental design, 20 secondary school students were taught grammar in two ways: with the use of popular culture materials,…
Research into Practice: Grammar Learning and Teaching
ERIC Educational Resources Information Center
Larsen-Freeman, Diane
2015-01-01
This selective review of the second language acquisition and applied linguistics research literature on grammar learning and teaching falls into three categories: where research has had little impact (the non-interface position), modest impact (form-focused instruction), and where it potentially can have a large impact (reconceiving grammar).…
Reading and Grammar Learning through Mobile Phones
ERIC Educational Resources Information Center
Wang, Shudong; Smith, Simon
2013-01-01
This paper describes an ongoing language-learning project, three years into its development. We examine both the feasibility and the limitations of developing English reading and grammar skills through the interface of mobile phones. Throughout the project, reading and grammar materials were regularly sent to students' mobile phones. Students read…
Grammar Teaching and Learning in L2: Necessary, but Boring?
ERIC Educational Resources Information Center
Jean, Gladys; Simard, Daphnee
2011-01-01
This descriptive inquiry-based study targeted second language (L2) high school students' (n = 2321) and teachers' (n = 45) beliefs and perceptions about grammar instruction, specifically about grammatical accuracy, corrective feedback, and diverse forms of grammar teaching and learning. Results showed only slight discrepancies between students'…
How Explicit and Implicit Test Instructions in an Implicit Learning Task Affect Performance
Witt, Arnaud; Puspitawati, Ira; Vinter, Annie
2013-01-01
Typically developing children aged 5 to 8 years were exposed to artificial grammar learning. Following an implicit exposure phase, half of the participants received neutral instructions at test while the other half received instructions making a direct, explicit reference to the training phase. We first aimed to assess whether implicit learning operated in the two test conditions. We then evaluated the differential impact of age on learning performances as a function of test instructions. The results showed that performance did not vary as a function of age in the implicit instructions condition, while age effects emerged when explicit instructions were employed at test. However, performance was affected differently by age and the instructions given at test, depending on whether the implicit learning of short or long units was assessed. These results suggest that the claim that the implicit learning process is independent of age needs to be revised. PMID:23326409
Pattern perception and computational complexity: introduction to the special issue
Fitch, W. Tecumseh; Friederici, Angela D.; Hagoort, Peter
2012-01-01
Research on pattern perception and rule learning, grounded in formal language theory (FLT) and using artificial grammar learning paradigms, has exploded in the last decade. This approach marries empirical research conducted by neuroscientists, psychologists and ethologists with the theory of computation and FLT, developed by mathematicians, linguists and computer scientists over the last century. Of particular current interest are comparative extensions of this work to non-human animals, and neuroscientific investigations using brain imaging techniques. We provide a short introduction to the history of these fields, and to some of the dominant hypotheses, to help contextualize these ongoing research programmes, and finally briefly introduce the papers in the current issue. PMID:22688630
Intact implicit learning in autism spectrum conditions.
Brown, Jamie; Aczel, Balazs; Jiménez, Luis; Kaufman, Scott Barry; Grant, Kate Plaisted
2010-09-01
Individuals with autism spectrum condition (ASC) have diagnostic impairments in skills that are associated with an implicit acquisition; however, it is not clear whether ASC individuals show specific implicit learning deficits. We compared ASC and typically developing (TD) individuals matched for IQ on five learning tasks: four implicit learning tasks--contextual cueing, serial reaction time, artificial grammar learning, and probabilistic classification learning tasks--that used procedures expressly designed to minimize the use of explicit strategies, and one comparison explicit learning task, paired associates learning. We found implicit learning to be intact in ASC. Beyond no evidence of differences, there was evidence of statistical equivalence between the groups on all the implicit learning tasks. This was not a consequence of compensation by explicit learning ability or IQ. Furthermore, there was no evidence to relate implicit learning to ASC symptomatology. We conclude that implicit mechanisms are preserved in ASC and propose that it is disruption by other atypical processes that impact negatively on the development of skills associated with an implicit acquisition.
Conti-Ramsden, Gina; Ullman, Michael T; Lum, Jarrad A G
2015-01-01
What memory systems underlie grammar in children, and do these differ between typically developing (TD) children and children with specific language impairment (SLI)? Whilst there is substantial evidence linking certain memory deficits to the language problems in children with SLI, few studies have investigated multiple memory systems simultaneously, examining not only possible memory deficits but also memory abilities that may play a compensatory role. This study examined the extent to which procedural, declarative, and working memory abilities predict receptive grammar in 45 primary school aged children with SLI (30 males, 15 females) and 46 TD children (30 males, 16 females), both on average 9;10 years of age. Regression analyses probed measures of all three memory systems simultaneously as potential predictors of receptive grammar. The model was significant, explaining 51.6% of the variance. There was a significant main effect of learning in procedural memory and a significant group × procedural learning interaction. Further investigation of the interaction revealed that procedural learning predicted grammar in TD but not in children with SLI. Indeed, procedural learning was the only predictor of grammar in TD. In contrast, only learning in declarative memory significantly predicted grammar in SLI. Thus, different memory systems are associated with receptive grammar abilities in children with SLI and their TD peers. This study is, to our knowledge, the first to demonstrate a significant group by memory system interaction in predicting grammar in children with SLI and their TD peers. In line with Ullman's Declarative/Procedural model of language and procedural deficit hypothesis of SLI, variability in understanding sentences of varying grammatical complexity appears to be associated with variability in procedural memory abilities in TD children, but with declarative memory, as an apparent compensatory mechanism, in children with SLI.
Hedenius, Martina; Persson, Jonas; Tremblay, Antoine; Adi-Japha, Esther; Veríssimo, João; Dye, Cristina D.; Alm, Per; Jennische, Margareta; Tomblin, J. Bruce; Ullman, Michael T.
2011-01-01
The Procedural Deficit Hypothesis (PDH) posits that Specific Language Impairment (SLI) can be largely explained by abnormalities of brain structures that subserve procedural memory. The PDH predicts impairments of procedural memory itself, and that such impairments underlie the grammatical deficits observed in the disorder. Previous studies have indeed reported procedural learning impairments in SLI, and have found that these are associated with grammatical difficulties. The present study extends this research by examining the consolidation and longer-term procedural sequence learning in children with SLI. The Alternating Serial Reaction Time (ASRT) task was given to children with SLI and typically-developing (TD) children in an initial learning session and an average of three days later to test for consolidation and longer-term learning. Although both groups showed evidence of initial sequence learning, only the TD children showed clear signs of consolidation, even though the two groups did not differ in longer-term learning. When the children were re-categorized on the basis of grammar deficits rather than broader language deficits, a clearer pattern emerged. Whereas both the grammar impaired and normal grammar groups showed evidence of initial sequence learning, only those with normal grammar showed consolidation and longer-term learning. Indeed, the grammar-impaired group appeared to lose any sequence knowledge gained during the initial testing session. These findings held even when controlling for vocabulary or a broad non-grammatical language measure, neither of which were associated with procedural memory. When grammar was examined as a continuous variable over all children, the same relationships between procedural memory and grammar, but not vocabulary or the broader language measure, were observed. Overall, the findings support and further specify the PDH. They suggest that consolidation and longer-term procedural learning are impaired in SLI, but that these impairments are specifically tied to the grammatical deficits in the disorder. The possibility that consolidation and longer-term learning are problematic in the disorder suggests a locus of potential study for therapeutic approaches. In sum, this study clarifies our understanding of the underlying deficits in SLI, and suggests avenues for further research. PMID:21840165
Shimamune, Satoru; Jitsumori, Masako
1999-01-01
In a computer-assisted sentence completion task, the effects of grammar instruction and fluency training on learning the use of the definite and indefinite articles of English were examined. Forty-eight native Japanese-speaking students were assigned to four groups: with grammar/accuracy (G/A), without grammar/accuracy (N/A), with grammar/fluency (G/F), and without grammar/fluency (N/F). In the G/A and N/A groups, training continued until performance reached 100% accuracy (accuracy criterion). In the G/F and N/F groups, training continued until 100% accuracy was reached and the correct responses were made at a high speed (fluency criterion). Grammar instruction was given to participants in the G/A and G/F groups but not to those in the N/A and N/F groups. Generalization to new sentences was tested immediately after reaching the required criterion. High levels of generalization occurred, regardless of the type of mastery criterion and whether the grammar instruction was given. Retention tests were conducted 4, 6, and 8 weeks after training. Fluency training effectively improved retention of the performance attained without the grammar instruction. This effect was diminished when grammar instruction was given during training. Learning grammatical rules was not necessary for the generalized use of appropriate definite and indefinite articles or for the maintenance of the performance attained through fluency training. PMID:22477154
Propelling Students into Active Grammar Participation
ERIC Educational Resources Information Center
Jurhill, Dennis A.
2011-01-01
"O! this learning, what a thing it is." -W. Shakespeare, "The Taming of the Shrew." The aim of this action research was to find out if active grammar involvement amongst students might lead to better results. My approach was to activate my students during grammar instruction by using cooperative learning: that is a form of…
Students' Attitudes towards Learning English Grammar: A Study of Scale Development
ERIC Educational Resources Information Center
Akay, Emel; Toraman, Çetin
2015-01-01
Learning a language means not only studying four skills of proficiency, but also understanding the system of rules underlying. In this respect, learners' attitudes towards grammar are also of vital importance. The main objective of this descriptive study is to determine English language learners' attitudes towards grammar and to analyze these…
Swahili Learners' Reference Grammar. African Language Learners' Reference Grammar Series.
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Thompson, Katrina Daly; Schleicher, Antonia Folarin
This reference grammar is written for speakers of English who are learning Swahili. Because many language learners are not familiar with the grammatical terminology, this book explains the basic terminology and concepts of English grammar that are necessary for understanding the grammar of Swahili. It assumes no formal knowledge of English grammar…
Strategies for Better Learning of English Grammar: Chinese vs. Thais
ERIC Educational Resources Information Center
Supakorn, Patnarin; Feng, Min; Limmun, Wanida
2018-01-01
The success of language learning significantly depends on multiple sets of complex factors; among these are language-learning strategies of which learners in different countries may show different preferences. Needed areas of language learning strategy research include, among others, the strategy of grammar learning and the context-based approach…
Learning of Grammar-Like Visual Sequences by Adults with and without Language-Learning Disabilities
ERIC Educational Resources Information Center
Aguilar, Jessica M.; Plante, Elena
2014-01-01
Purpose: Two studies examined learning of grammar-like visual sequences to determine whether a general deficit in statistical learning characterizes this population. Furthermore, we tested the hypothesis that difficulty in sustaining attention during the learning task might account for differences in statistical learning. Method: In Study 1,…
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Kwon, Oh-Woog; Lee, Kiyoung; Kim, Young-Kil; Lee, Yunkeun
2015-01-01
This paper introduces a Dialog-Based Computer-Assisted second-Language Learning (DB-CALL) system using semantic and grammar correctness evaluations and the results of its experiment. While the system dialogues with English learners about a given topic, it automatically evaluates the grammar and content properness of their English utterances, then…
Effects of Using Self-Explanation on a Web-Based Chinese Sentence-Learning System
ERIC Educational Resources Information Center
Chang, Jia-Wei; Lee, Ming-Che; Su, Chien-Yuan; Wang, Tzone-I
2017-01-01
Chinese as a foreign language (CFL) learners generally encounter difficulty in using some special rules of Chinese grammar because such grammar points do not exist in their native languages. CFL learners require an effective learning strategy to assist them in acquiring a greater understanding of Chinese grammar. Thus, we integrated a…
Dawson, Colin; Gerken, Louann
2011-09-01
While many constraints on learning must be relatively experience-independent, past experience provides a rich source of guidance for subsequent learning. Discovering structure in some domain can inform a learner's future hypotheses about that domain. If a general property accounts for particular sub-patterns, a rational learner should not stipulate separate explanations for each detail without additional evidence, as the general structure has "explained away" the original evidence. In a grammar-learning experiment using tone sequences, manipulating learners' prior exposure to a tone environment affects their sensitivity to the grammar-defining feature, in this case consecutive repeated tones. Grammar-learning performance is worse if context melodies are "smooth" -- when small intervals occur more than large ones -- as Smoothness is a general property accounting for a high rate of repetition. We present an idealized Bayesian model as a "best case" benchmark for learning repetition grammars. When context melodies are Smooth, the model places greater weight on the small-interval constraint, and does not learn the repetition rule as well as when context melodies are not Smooth, paralleling the human learners. These findings support an account of abstract grammar-induction in which learners rationally assess the statistical evidence for underlying structure based on a generative model of the environment. Copyright © 2010 Elsevier B.V. All rights reserved.
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Matsumoto, Yumi; Dobs, Abby Mueller
2017-01-01
This study investigated the functions of gesture in teaching and learning grammar in the context of second language (L2) classroom interactions. The data consisted of video-recorded interactions from a beginner- and an advanced-level grammar classroom in an intensive English program at a U.S. university. The sequences of talk-in-interaction…
ERIC Educational Resources Information Center
Adams, Karen
2015-01-01
In this article Karen Adams demonstrates how to incorporate group grammar techniques into a classroom activity. In the activity, students practice using the target grammar to do something they naturally enjoy: learning about each other.
Pattern activation/recognition theory of mind
du Castel, Bertrand
2015-01-01
In his 2012 book How to Create a Mind, Ray Kurzweil defines a “Pattern Recognition Theory of Mind” that states that the brain uses millions of pattern recognizers, plus modules to check, organize, and augment them. In this article, I further the theory to go beyond pattern recognition and include also pattern activation, thus encompassing both sensory and motor functions. In addition, I treat checking, organizing, and augmentation as patterns of patterns instead of separate modules, therefore handling them the same as patterns in general. Henceforth I put forward a unified theory I call “Pattern Activation/Recognition Theory of Mind.” While the original theory was based on hierarchical hidden Markov models, this evolution is based on their precursor: stochastic grammars. I demonstrate that a class of self-describing stochastic grammars allows for unifying pattern activation, recognition, organization, consistency checking, metaphor, and learning, into a single theory that expresses patterns throughout. I have implemented the model as a probabilistic programming language specialized in activation/recognition grammatical and neural operations. I use this prototype to compute and present diagrams for each stochastic grammar and corresponding neural circuit. I then discuss the theory as it relates to artificial network developments, common coding, neural reuse, and unity of mind, concluding by proposing potential paths to validation. PMID:26236228
Pattern activation/recognition theory of mind.
du Castel, Bertrand
2015-01-01
In his 2012 book How to Create a Mind, Ray Kurzweil defines a "Pattern Recognition Theory of Mind" that states that the brain uses millions of pattern recognizers, plus modules to check, organize, and augment them. In this article, I further the theory to go beyond pattern recognition and include also pattern activation, thus encompassing both sensory and motor functions. In addition, I treat checking, organizing, and augmentation as patterns of patterns instead of separate modules, therefore handling them the same as patterns in general. Henceforth I put forward a unified theory I call "Pattern Activation/Recognition Theory of Mind." While the original theory was based on hierarchical hidden Markov models, this evolution is based on their precursor: stochastic grammars. I demonstrate that a class of self-describing stochastic grammars allows for unifying pattern activation, recognition, organization, consistency checking, metaphor, and learning, into a single theory that expresses patterns throughout. I have implemented the model as a probabilistic programming language specialized in activation/recognition grammatical and neural operations. I use this prototype to compute and present diagrams for each stochastic grammar and corresponding neural circuit. I then discuss the theory as it relates to artificial network developments, common coding, neural reuse, and unity of mind, concluding by proposing potential paths to validation.
ERIC Educational Resources Information Center
Hall, Christopher
1998-01-01
Examines how application of computer-assisted language learning (CALL) and information technology can be used to overcome "grammar deficit" seen in many British undergraduate German students. A combination of explicit, implicit, and exploratory grammar teaching approaches uses diverse resources, including word processing packages,…
ERIC Educational Resources Information Center
Zink, Karl E.
A faculty member involved with the Higher Education for Learning Disabled Students (HELDS) project describes ways in which an English grammar course was modified to accommodate LD students. The course, designed to compensate for students' inadequacies in grammar, is described in terms of four phases: (1) the introductory period (in which LD…
ERIC Educational Resources Information Center
Haim, O.; Strauss, S.; Ravid, D.
2004-01-01
We studied the relations between English as a foreign language teachers' grammar knowledge and their in-action mental models (MMs) of children's minds and learning. The grammar knowledge we examined was English wh-constructions. A total of 74 teachers completed an assessment task and were classified to have deep, intermediate or shallow knowledge.…
Using Webquest in Learning Grammar: Students' Perceptions in Higher Education
ERIC Educational Resources Information Center
Irzawati, Ira
2013-01-01
Webquest is an internet based learning tool that can be used by students in learning English. This study investigates students' perceptions about the use of Webquest to support learning grammar in Higher Education. Seventy-two of second semester students were involved as participants in this study. Questionnaire and interview were used to collect…
ERIC Educational Resources Information Center
Domangue, Thomas J.; Mathews, Robert C.; Sun, Ron; Roussel, Lewis G.; Guidry, Claire E.
2004-01-01
Learners are able to use 2 different types of knowledge to perform a skill. One type is a conscious mental model, and the other is based on memories of instances. The authors conducted 3 experiments that manipulated training conditions designed to affect the availability of 1 or both types of knowledge about an artificial grammar. Participants…
Something Old, Something New--An Eclectic Grammar for Learning.
ERIC Educational Resources Information Center
O'Donnell, Roy C.
Formal grammar study is important in schools above the elementary level because it can lead to improved understanding of the nature and functions of language. Although newer grammars, based on structural linguistics and transformational-generative grammar, have not met the needs of the schools, their potential should not be ignored with a return…
Foreign-Language Grammar Instruction via the Mother Tongue
ERIC Educational Resources Information Center
Paradowski, Michal B.
2007-01-01
The chapter reports the results of a controlled experiment which suggest that foreign-language grammar instruction that forges explicit connections with the grammar of the students' mother tongue aids learning, at least as far as students' application of discrete-point grammar rules is concerned. (Contains 2 figures and 3 notes.) [This document…
Language Practice with Multimedia Supported Web-Based Grammar Revision Material
ERIC Educational Resources Information Center
Baturay, Meltem Huri; Daloglu, Aysegul; Yildirim, Soner
2010-01-01
The aim of this study was to investigate the perceptions of elementary-level English language learners towards web-based, multimedia-annotated grammar learning. WEBGRAM, a system designed to provide supplementary web-based grammar revision material, uses audio-visual aids to enrich the contextual presentation of grammar and allows learners to…
A framework for the comparative study of language.
Uriagereka, Juan; Reggia, James A; Wilkinson, Gerald S
2013-07-18
Comparative studies of language are difficult because few language precursors are recognized. In this paper we propose a framework for designing experiments that test for structural and semantic patterns indicative of simple or complex grammars as originally described by Chomsky. We argue that a key issue is whether animals can recognize full recursion, which is the hallmark of context-free grammar. We discuss limitations of recent experiments that have attempted to address this issue, and point out that experiments aimed at detecting patterns that follow a Fibonacci series have advantages over other artificial context-free grammars. We also argue that experiments using complex sequences of behaviors could, in principle, provide evidence for fully recursive thought. Some of these ideas could also be approached using artificial life simulations, which have the potential to reveal the types of evolutionary transitions that could occur over time. Because the framework we propose has specific memory and computational requirements, future experiments could target candidate genes with the goal of revealing the genetic underpinnings of complex cognition.
Knowing English Grammar--An Important Aid in Second Language Learning
ERIC Educational Resources Information Center
Cleary, Colin
2004-01-01
This article discusses a small-scale study that explored students', teachers', and university lecturers' beliefs about the value of studying English grammar in foreign and second language learning. A major debate in second language acquisition literature has been concerned with experiential (implicit) learning as opposed to analytical (explicit)…
Implicit learning in cotton-top tamarins (Saguinus oedipus) and pigeons (Columba livia).
Locurto, Charles; Fox, Maura; Mazzella, Andrea
2015-06-01
There is considerable interest in the conditions under which human subjects learn patterned information without explicit instructions to learn that information. This form of learning, termed implicit or incidental learning, can be approximated in nonhumans by exposing subjects to patterned information but delivering reinforcement randomly, thereby not requiring the subjects to learn the information in order to be reinforced. Following acquisition, nonhuman subjects are queried as to what they have learned about the patterned information. In the present experiment, we extended the study of implicit learning in nonhumans by comparing two species, cotton-top tamarins (Saguinus oedipus) and pigeons (Columba livia), on an implicit learning task that used an artificial grammar to generate the patterned elements for training. We equated the conditions of training and testing as much as possible between the two species. The results indicated that both species demonstrated approximately the same magnitude of implicit learning, judged both by a random test and by choice tests between pairs of training elements. This finding suggests that the ability to extract patterned information from situations in which such learning is not demanded is of longstanding origin.
ERIC Educational Resources Information Center
Bissoonauth-Bedford, A.; Stace, Ray
2012-01-01
This paper reports on an online discussion forum that was created on the University of Wollongong's Virtual Learning Environment (VLE) to aid and support the learning of French grammar at beginner/false beginner level. The aim was to provide a blended learning situation which combines face to face teaching with online learning using multimedia…
ERIC Educational Resources Information Center
Vannestal, Maria Estling; Lindquist, Hans
2007-01-01
Corpora have been used for pedagogical purposes for more than two decades but empirical studies are relatively rare, particularly in the context of grammar teaching. The present study focuses on students' attitudes towards grammar and how these attitudes are affected by the introduction of concordancing. The principal aims of the project were to…
ERIC Educational Resources Information Center
Deng, Fangfang; Lin, Yuewu
2016-01-01
Grammar is "a system of rules governing the conventional arrangement and relationship of words in a sentence" (Brown 1994) which can facilitate the acquisition of a foreign language and is conducive for cultivating comprehensive language competence. Most teachers regard grammar as a frame of English learning. The grammar teaching beliefs…
Production of Supra-regular Spatial Sequences by Macaque Monkeys.
Jiang, Xinjian; Long, Tenghai; Cao, Weicong; Li, Junru; Dehaene, Stanislas; Wang, Liping
2018-06-18
Understanding and producing embedded sequences in language, music, or mathematics, is a central characteristic of our species. These domains are hypothesized to involve a human-specific competence for supra-regular grammars, which can generate embedded sequences that go beyond the regular sequences engendered by finite-state automata. However, is this capacity truly unique to humans? Using a production task, we show that macaque monkeys can be trained to produce time-symmetrical embedded spatial sequences whose formal description requires supra-regular grammars or, equivalently, a push-down stack automaton. Monkeys spontaneously generalized the learned grammar to novel sequences, including longer ones, and could generate hierarchical sequences formed by an embedding of two levels of abstract rules. Compared to monkeys, however, preschool children learned the grammars much faster using a chunking strategy. While supra-regular grammars are accessible to nonhuman primates through extensive training, human uniqueness may lie in the speed and learning strategy with which they are acquired. Copyright © 2018 Elsevier Ltd. All rights reserved.
Lorma: A Reference Handbook of Phonetics, Grammar, Lexicon and Learning Procedures.
ERIC Educational Resources Information Center
Dwyer, David James
The grammar, phonetics, and lexicon of Lorma, one of the Mande languages of Liberia, are described for the use of Peace Corps volunteers learning the language without teacher assistance. This handbook includes an introduction to the languages of Liberia, procedures for learning a language without assistance, guidelines for tutors, a reference…
ERIC Educational Resources Information Center
Liviero, Sara
2017-01-01
This study investigates teachers' beliefs relating to grammar teaching in modern foreign language (MFL) learning in England. Focus on grammatical form has been consistently supported by linguistic research and teacher practice, and has progressively been reinstated in England's National Curriculum. However, MFL learning assessment in England has…
E-Learning Turkish Language and Grammar: Analyzing Learners' Behavior
ERIC Educational Resources Information Center
Georgalas, Panagiotis
2012-01-01
This study analyses the behavior and the preferences of the Greek learners of Turkish language, who use a particular e-learning website in parallel with their studies, namely: http://turkish.pgeorgalas.gr. The website offers free online material in Greek and English language for learning the Turkish language and grammar. The traffic of several…
Input-Based Approaches to Teaching Grammar: A Review of Classroom-Oriented Research.
ERIC Educational Resources Information Center
Ellis, Rod
1999-01-01
Examines the theoretical rationales (universal grammar, information-processing theories, skill-learning theories) for input-based grammar teaching and reviews classroom-oriented research (i.e., enriched-input studies, input-processing studies) that has integrated this option. (Author/VWL)
Word frequency cues word order in adults: cross-linguistic evidence
Gervain, Judit; Sebastián-Gallés, Núria; Díaz, Begoña; Laka, Itziar; Mazuka, Reiko; Yamane, Naoto; Nespor, Marina; Mehler, Jacques
2013-01-01
One universal feature of human languages is the division between grammatical functors and content words. From a learnability point of view, functors might provide entry points or anchors into the syntactic structure of utterances due to their high frequency. Despite its potentially universal scope, this hypothesis has not yet been tested on typologically different languages and on populations of different ages. Here we report a corpus study and an artificial grammar learning experiment testing the anchoring hypothesis in Basque, Japanese, French, and Italian adults. We show that adults are sensitive to the distribution of functors in their native language and use them when learning new linguistic material. However, compared to infants' performance on a similar task, adults exhibit a slightly different behavior, matching the frequency distributions of their native language more closely than infants do. This finding bears on the issue of the continuity of language learning mechanisms. PMID:24106483
Esquisse d'une grammaire de l'imaginaire (Sketch of a Grammar of the Fanciful).
ERIC Educational Resources Information Center
Ruck, Heribert
1986-01-01
Proposes an approach to teaching grammar that calls on the student's imagination and frees the learning process from classroom routine. The technique uses examples of specific constructions in French poetry to illustrate principles of grammar and discourse. (MSE)
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Lin, Ming Huei
2016-01-01
This study employed a blended approach to form an extensive assessment of the pedagogical suitability of data-driven learning (DDL) in Taiwan's EFL grammar classrooms. On the one hand, the study quantitatively investigated the effects of DDL compared with that of a traditional deductive approach on the learning motivation and self-efficacy of…
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CHOMSKY, NOAM
WITHIN THE GENERAL FRAMEWORK OF PRINCIPLES OF LEARNING, THE AUTHOR DISCUSSES THE LINGUISTIC RELATIONSHIP BETWEEN THE STUDY OF GRAMMAR AND UNIVERSAL GRAMMAR, AND HOW THIS RELATIONSHIP CORRELATES WITH THE MECHANISMS OF HUMAN PERCEPTION AND LEARNING. HE EMPHASIZES THAT LANGUAGE IS NEITHER ENTIRELY INNOVATIVE NOR A "HABIT STRUCTURE," BUT RATHER IS…
Kepinska, Olga; de Rover, Mischa; Caspers, Johanneke; Schiller, Niels O
2017-03-01
In an effort to advance the understanding of brain function and organisation accompanying second language learning, we investigate the neural substrates of novel grammar learning in a group of healthy adults, consisting of participants with high and average language analytical abilities (LAA). By means of an Independent Components Analysis, a data-driven approach to functional connectivity of the brain, the fMRI data collected during a grammar-learning task were decomposed into maps representing separate cognitive processes. These included the default mode, task-positive, working memory, visual, cerebellar and emotional networks. We further tested for differences within the components, representing individual differences between the High and Average LAA learners. We found high analytical abilities to be coupled with stronger contributions to the task-positive network from areas adjacent to bilateral Broca's region, stronger connectivity within the working memory network and within the emotional network. Average LAA participants displayed stronger engagement within the task-positive network from areas adjacent to the right-hemisphere homologue of Broca's region and typical to lower level processing (visual word recognition), and increased connectivity within the default mode network. The significance of each of the identified networks for the grammar learning process is presented next to a discussion on the established markers of inter-individual learners' differences. We conclude that in terms of functional connectivity, the engagement of brain's networks during grammar acquisition is coupled with one's language learning abilities. Copyright © 2016 Elsevier B.V. All rights reserved.
Teaching Grammar to Adult English Language Learners: Focus on Form. CAELA Network Brief
ERIC Educational Resources Information Center
Gallup Rodriguez, Amber
2009-01-01
Many adult English language learners place a high value on learning grammar. Perceiving a link between grammatical accuracy and effective communication, they associate excellent grammar with opportunities for employment and promotion, the attainment of educational goals, and social acceptance by native speakers. Reflecting the disagreement that…
ERIC Educational Resources Information Center
Zepeda, Ofelia
A Papago grammar, intented to help Papago and other junior high, high school and college students learn and appreciate the language and give linguists an overview of the language, contains background information on the language and the book, two grammar units, a unit of five conversations in Papago, and a section of supplementary material. Text…
Mobile-Assisted Grammar Exercises: Effects on Self-Editing in L2 Writing
ERIC Educational Resources Information Center
Li, Zhi; Hegelheimer, Volker
2013-01-01
In this paper, we report on the development and implementation of a web-based mobile application, "Grammar Clinic," for an ESL writing class. Drawing on insights from the interactionist approach to Second Language Acquisition (SLA), the Noticing Hypothesis, and mobile-assisted language learning (MALL), "Grammar Clinic" was…
A Bemba Grammar with Exercises.
ERIC Educational Resources Information Center
Hoch, Ernst
This Bemba grammar begins with an introduction which traces the history of the language, stresses the importance of learning it well and offers hints towards achieving this goal. The grammar itself is divided into three major sections: Part 1, "Phonetics," deals with the Bemba alphabet, tonality, and orthography; Part 2, "Parts of Speech,"…
Environmental Peace Education in Foreign Language Learners' English Grammar Lessons
ERIC Educational Resources Information Center
Arikan, Arda
2009-01-01
English language teachers create contexts to teach grammar so that meaningful learning occurs. In this study, English grammar is contextualized through environmental peace education activities to raise students' awareness of global issues. Two sources provided data to evaluate the success of this instructional process. Fourth-year pre-service…
2015-04-02
grammar may be stated as AA 6→ AA, so not form AAA xB 6→ BB, so not form xBB xS 6→ SS, so not form xSS SA 6→ AB, so not form SAB BA 6→ AS, so not form BAS... 350 . Dienes, Z., & Scott, R. (2005). Measuring Unconscious Knowledge: Distinguishing Structural Knowledge and Judgment Knowledge. Psychological
Brooks, Patricia J; Kempe, Vera
2013-02-01
In this study, we sought to identify cognitive predictors of individual differences in adult foreign-language learning and to test whether metalinguistic awareness mediated the observed relationships. Using a miniature language-learning paradigm, adults (N = 77) learned Russian vocabulary and grammar (gender agreement and case marking) over six 1-h sessions, completing tasks that encouraged attention to phrases without explicitly teaching grammatical rules. The participants' ability to describe the Russian gender and case-marking patterns mediated the effects of nonverbal intelligence and auditory sequence learning on grammar learning and generalization. Hence, even under implicit-learning conditions, individual differences stemmed from explicit metalinguistic awareness of the underlying grammar, which, in turn, was linked to nonverbal intelligence and auditory sequence learning. Prior knowledge of languages with grammatical gender (predominantly Spanish) predicted learning of gender agreement. Transfer of knowledge of gender from other languages to Russian was not mediated by awareness, which suggests that transfer operates through an implicit process akin to structural priming.
Unsupervised learning of natural languages
Solan, Zach; Horn, David; Ruppin, Eytan; Edelman, Shimon
2005-01-01
We address the problem, fundamental to linguistics, bioinformatics, and certain other disciplines, of using corpora of raw symbolic sequential data to infer underlying rules that govern their production. Given a corpus of strings (such as text, transcribed speech, chromosome or protein sequence data, sheet music, etc.), our unsupervised algorithm recursively distills from it hierarchically structured patterns. The adios (automatic distillation of structure) algorithm relies on a statistical method for pattern extraction and on structured generalization, two processes that have been implicated in language acquisition. It has been evaluated on artificial context-free grammars with thousands of rules, on natural languages as diverse as English and Chinese, and on protein data correlating sequence with function. This unsupervised algorithm is capable of learning complex syntax, generating grammatical novel sentences, and proving useful in other fields that call for structure discovery from raw data, such as bioinformatics. PMID:16087885
Unsupervised learning of natural languages.
Solan, Zach; Horn, David; Ruppin, Eytan; Edelman, Shimon
2005-08-16
We address the problem, fundamental to linguistics, bioinformatics, and certain other disciplines, of using corpora of raw symbolic sequential data to infer underlying rules that govern their production. Given a corpus of strings (such as text, transcribed speech, chromosome or protein sequence data, sheet music, etc.), our unsupervised algorithm recursively distills from it hierarchically structured patterns. The adios (automatic distillation of structure) algorithm relies on a statistical method for pattern extraction and on structured generalization, two processes that have been implicated in language acquisition. It has been evaluated on artificial context-free grammars with thousands of rules, on natural languages as diverse as English and Chinese, and on protein data correlating sequence with function. This unsupervised algorithm is capable of learning complex syntax, generating grammatical novel sentences, and proving useful in other fields that call for structure discovery from raw data, such as bioinformatics.
The subliminal mere exposure effect does not generalize to structurally related stimuli.
Newell, Ben R; Bright, James E H
2003-03-01
R.F. Bornstein (1994) questioned whether subliminal mere exposure effects might generalize to structurally related stimuli, thereby providing evidence for the existence of implicit learning. Two experiments examined this claim using letter string stimuli constructed according to the rules of an artificial grammar. Experiment 1 demonstrated that brief, masked exposure to grammatical strings impaired recognition but failed to produce a mere exposure effect on novel structurally related strings seen at test. Experiment 2 replicated this result but also demonstrated that a reliable mere exposure effect could be obtained, provided the same grammatical strings were presented at test. The results suggest that the structural relationship between training and test items prevents the mere exposure effect when participants are unaware of the exposure status of stimuli, and therefore provide no evidence for the existence of implicit learning.
ERIC Educational Resources Information Center
Ebubekir, Bozavli
2017-01-01
Mother tongue acquisition starts with words and grammar acquired spontaneously by means of communication, while at school foreign language learning takes place based on grammar. Vocabulary learning is very often neglected or rather it turns into an individual activity. The present study, which is considered to be unique on its own, is to reveal…
ERIC Educational Resources Information Center
CHAO, YUEN REN
THE AUTHOR OF THIS GRAMMAR STATES THAT THIS IS A "DISCUSSION BOOK" AND NOT AN INSTRUCTION BOOK FOR LEARNING CHINESE. HIS ANALYSIS OF CHINESE GRAMMAR IS BASED ON CURRENT LINGUISTIC METHODS AND ASSUMES THE READER HAS SOME KNOWLEDGE OF LINGUISTICS. THIS BOOK CONSTITUTES A REFERENCE WORK FOR LINGUISTS AND STUDENTS OF THE CHINESE LANGUAGE. MAJOR…
Spoken Grammar: An Urgent Necessity in the EFL Context
ERIC Educational Resources Information Center
Al-wossabi, Sami A.
2014-01-01
Recent studies in corpus linguistics have revealed apparent inconsistencies between the prescriptive grammar presented in EFL textbooks and the type of grammar used in the speech of native speakers. Such variations and learning gaps deprive EFL learners of the actual use of English and delay their oral/aural developmental processes. The focus of…
ERIC Educational Resources Information Center
Dade County Public Schools, Miami, FL.
The essential elements of grammar required to write business letters, memorandums, and reports are covered in this quinmester course. The course consists of a complete grammar review and the learning of proofreading skills for students in the Cooperative Business Education program in Dade County High Schools. Instruction techniques include group…
The Role of Guided Induction in Paper-Based Data-Driven Learning
ERIC Educational Resources Information Center
Smart, Jonathan
2014-01-01
This study examines the role of guided induction as an instructional approach in paper-based data-driven learning (DDL) in the context of an ESL grammar course during an intensive English program at an American public university. Specifically, it examines whether corpus-informed grammar instruction is more effective through inductive, data-driven…
ERIC Educational Resources Information Center
Alves, Kat D.; Kennedy, Michael J.; Brown, Tiara S.; Solis, Michael
2015-01-01
"Reading comprehension" is difficult for many students with disabilities, including those with specific learning disabilities. However these students can be explicitly taught strategies to improve their comprehension abilities. One such strategy is teaching students story grammar in order to provide them with a framework for…
TRACX2: a connectionist autoencoder using graded chunks to model infant visual statistical learning.
Mareschal, Denis; French, Robert M
2017-01-05
Even newborn infants are able to extract structure from a stream of sensory inputs; yet how this is achieved remains largely a mystery. We present a connectionist autoencoder model, TRACX2, that learns to extract sequence structure by gradually constructing chunks, storing these chunks in a distributed manner across its synaptic weights and recognizing these chunks when they re-occur in the input stream. Chunks are graded rather than all-or-nothing in nature. As chunks are learnt their component parts become more and more tightly bound together. TRACX2 successfully models the data from five experiments from the infant visual statistical learning literature, including tasks involving forward and backward transitional probabilities, low-salience embedded chunk items, part-sequences and illusory items. The model also captures performance differences across ages through the tuning of a single-learning rate parameter. These results suggest that infant statistical learning is underpinned by the same domain-general learning mechanism that operates in auditory statistical learning and, potentially, in adult artificial grammar learning.This article is part of the themed issue 'New frontiers for statistical learning in the cognitive sciences'. © 2016 The Author(s).
TRACX2: a connectionist autoencoder using graded chunks to model infant visual statistical learning
French, Robert M.
2017-01-01
Even newborn infants are able to extract structure from a stream of sensory inputs; yet how this is achieved remains largely a mystery. We present a connectionist autoencoder model, TRACX2, that learns to extract sequence structure by gradually constructing chunks, storing these chunks in a distributed manner across its synaptic weights and recognizing these chunks when they re-occur in the input stream. Chunks are graded rather than all-or-nothing in nature. As chunks are learnt their component parts become more and more tightly bound together. TRACX2 successfully models the data from five experiments from the infant visual statistical learning literature, including tasks involving forward and backward transitional probabilities, low-salience embedded chunk items, part-sequences and illusory items. The model also captures performance differences across ages through the tuning of a single-learning rate parameter. These results suggest that infant statistical learning is underpinned by the same domain-general learning mechanism that operates in auditory statistical learning and, potentially, in adult artificial grammar learning. This article is part of the themed issue ‘New frontiers for statistical learning in the cognitive sciences’. PMID:27872375
Learning and Inductive Inference
1982-07-01
a set of graph grammars to describe visual scenes . Other researchers have applied graph grammars to the pattern recognition of handwritten characters...345 1. Issues / 345 2. Mostows’ operationalizer / 350 0. Learning from ezamples / 360 1. Issues / 3t60 2. Learning in control and pattern recognition ...art.icleis on rote learntinig and ailvice- tAik g. K(ennieth Clarkson contributed Ltte article on grmvit atical inference, anid Geoff’ lroiney wrote
1974-07-01
iiWU -immmemmmmm This document was generated by the Stanford Artificial Intelligence Laboratory’s document compiler, "PUB" and reproducec’ on a...for more sophisticated artificial (programming) languages. The new issues became those of how to represent a grammar as precise syntactic structures...challenge lies in discovering - either by synthesis of an artificial system, or by analysis of a natural one - the underlying logical (a. opposed to
ERIC Educational Resources Information Center
Kreutner, Edith
2015-01-01
In this case study, I will show how directing a movie on grammar can help students improve their oral skills as well as their language competency, team working and planning skills, and also teach them about learning itself. I will present an innovative teaching project that uses the medium of film to get students engaged with grammar and that aims…
Functional Grammar and Its Implications for English Teaching and Learning
ERIC Educational Resources Information Center
Feng, Zhiwen
2013-01-01
Functional grammar has received more and more attention from domestic scholars in the world of linguistics since 1970s, but it is still new to most EFL teachers. In spite of controversies about its applications into classroom teaching, this new grammar model has its own advantages and can facilitate EFL students to achieve academic success. This…
Teachers' Attitudes towards Teaching English Grammar: A Scale Development Study
ERIC Educational Resources Information Center
Polat, Murat
2017-01-01
In most ELT classes, the importance of grammar, how it should be taught or how much it should be integrated into language teaching are still matters of discussion. Considering this fact, learning teachers' attitudes towards teaching grammar is significantly valuable for researchers. This study thus aimed to design a scale that identifies teachers'…
ERIC Educational Resources Information Center
Aryadoust, Vahid; Baghaei, Purya
2016-01-01
This study aims to examine the relationship between reading comprehension and lexical and grammatical knowledge among English as a foreign language students by using an Artificial Neural Network (ANN). There were 825 test takers administered both a second-language reading test and a set of psychometrically validated grammar and vocabulary tests.…
Sequence-specific procedural learning deficits in children with specific language impairment.
Hsu, Hsinjen Julie; Bishop, Dorothy V M
2014-05-01
This study tested the procedural deficit hypothesis of specific language impairment (SLI) by comparing children's performance in two motor procedural learning tasks and an implicit verbal sequence learning task. Participants were 7- to 11-year-old children with SLI (n = 48), typically developing age-matched children (n = 20) and younger typically developing children matched for receptive grammar (n = 28). In a serial reaction time task, the children with SLI performed at the same level as the grammar-matched children, but poorer than age-matched controls in learning motor sequences. When tested with a motor procedural learning task that did not involve learning sequential relationships between discrete elements (i.e. pursuit rotor), the children with SLI performed comparably with age-matched children and better than younger grammar-matched controls. In addition, poor implicit learning of word sequences in a verbal memory task (the Hebb effect) was found in the children with SLI. Together, these findings suggest that SLI might be characterized by deficits in learning sequence-specific information, rather than generally weak procedural learning. © 2014 The Authors. Developmental Science Published by John Wiley & Sons Ltd.
An Evaluation of Universal Grammar and the Phonological Mind1
Everett, Daniel L.
2016-01-01
This paper argues against the hypothesis of a “phonological mind” advanced by Berent. It establishes that there is no evidence that phonology is innate and that, in fact, the simplest hypothesis seems to be that phonology is learned like other human abilities. Moreover, the paper fleshes out the original claim of Philip Lieberman that Universal Grammar predicts that not everyone should be able to learn every language, i.e., the opposite of what UG is normally thought to predict. The paper also underscores the problem that the absence of recursion in Pirahã represents for Universal Grammar proposals. PMID:26903889
ERIC Educational Resources Information Center
Exley, Beryl; Kervin, Lisa; Mantei, Jessica
2016-01-01
In this article we introduce a heuristic for orientating to the language content of the Australian Curriculum: English. Our pedagogical heuristic, called "Playing with Grammar", moves through three separate but interwoven stages: (i) an introduction to the learning experience, (ii) a focus on learning, and (iii) an application of new…
ERIC Educational Resources Information Center
Beuls, Katrien
2014-01-01
Construction grammar (CG) has been proposed as an adequate grammatical formalism for building intelligent language tutoring systems because it is highly compatible with the learning strategies observed in second language learning. Unfortunately, the lack of computational CG implementations has made it impossible in the past to corroborate these…
Revise and resubmit: How real-time parsing limitations influence grammar acquisition
Pozzan, Lucia; Trueswell, John C.
2015-01-01
We present the results from a three-day artificial language learning study on adults. The study examined whether sentence-parsing limitations, in particular, difficulties revising initial syntactic/semantic commitments during comprehension, shape learners’ ability to acquire a language. Findings show that both comprehension and production of morphology pertaining to sentence argument structure are delayed when this morphology consistently appears at the end, rather than at the beginning, of sentences in otherwise identical grammatical systems. This suggests that real-time processing constraints impact acquisition; morphological cues that tend to guide linguistic analyses are easier to learn than cues that revise these analyses. Parallel performance in production and comprehension indicates that parsing constraints affect grammatical acquisition, not just real-time commitments. Properties of the linguistic system (e.g., ordering of cues within a sentence) interact with the properties of the cognitive system (cognitive control and conflict-resolution abilities) and together affect language acquisition. PMID:26026607
Le montage d'une grammaire seconde (The Construction of a Second Grammar)
ERIC Educational Resources Information Center
Adamczewski, Henri
1975-01-01
Discusses the influence of modern linguistic research on foreign language instruction. Shows the role of grammar 1 in the acquisition of grammar 2, and specifically when French is 1 and English is 2. Considers that conscious, systematic knowledge of L2, learned through L1, is positive for second language acquisition. (Text is in French.) (TL)
Auditory access, language access, and implicit sequence learning in deaf children.
Hall, Matthew L; Eigsti, Inge-Marie; Bortfeld, Heather; Lillo-Martin, Diane
2018-05-01
Developmental psychology plays a central role in shaping evidence-based best practices for prelingually deaf children. The Auditory Scaffolding Hypothesis (Conway et al., 2009) asserts that a lack of auditory stimulation in deaf children leads to impoverished implicit sequence learning abilities, measured via an artificial grammar learning (AGL) task. However, prior research is confounded by a lack of both auditory and language input. The current study examines implicit learning in deaf children who were (Deaf native signers) or were not (oral cochlear implant users) exposed to language from birth, and in hearing children, using both AGL and Serial Reaction Time (SRT) tasks. Neither deaf nor hearing children across the three groups show evidence of implicit learning on the AGL task, but all three groups show robust implicit learning on the SRT task. These findings argue against the Auditory Scaffolding Hypothesis, and suggest that implicit sequence learning may be resilient to both auditory and language deprivation, within the tested limits. A video abstract of this article can be viewed at: https://youtu.be/EeqfQqlVHLI [Correction added on 07 August 2017, after first online publication: The video abstract link was added.]. © 2017 John Wiley & Sons Ltd.
Attending to the Grammatical Errors of Students Using Constructive Teaching and Learning Activities
ERIC Educational Resources Information Center
Wornyo, Albert Agbesi
2016-01-01
This study was a classroom-based action research. In this study, constructive teaching and learning activities were used to help learners improve on their grammar and usage with a focus on how to help them internalize subject verb agreement rules. The purpose of the research was to assist learners to improve upon their performance in grammar and…
ERIC Educational Resources Information Center
Brookes, David T.; Etkina, Eugenia
2007-01-01
This paper introduces a theory about the role of language in learning physics. The theory is developed in the context of physics students and physicists talking and writing about the subject of quantum mechanics. We found that physicists' language encodes different varieties of analogical models through the use of grammar and conceptual metaphor.…
NASA Astrophysics Data System (ADS)
Bonner, David
This teacher research study examined multimodality in relation to teaching and learning of waves in a high school physics class from a sociocultural perspective. Qualitative analysis of classroom multimodal discourse, using ethnographic and grounded theory techniques, was used to explore and document the co-construction of concepts and the grammatical aspects of the modalities in which these concepts were developed. The findings centered on the evolution of form and function of two prevalent modes that emerged--gesturing and diagramming, --and on the evolution of two major thematic patterns across various modes--understanding and measuring wave characteristics, as well as learning about relationships between various wave characteristics from experimental data. The study revealed that students developed conceptual understandings using different modalities that shaped their meaning making and articulation of ideas. Students' conceptions of the grammar (form and function) of a particular mode co-developed with both the concepts and the grammars of other modes. Each mode's meaning was not developed in isolation from each other; instead, the intertwining, transduction, combination, and hybridization of modes offered powerful opportunities for meaning making. As students transduced among modalities, each mode afforded unique meaning-making opportunities that contributed to the class's collective meaning and development of ideas. However, the sequence of students' transduction represented a learned practice developed discursively throughout the unit. Students' engagement in one mode influenced the ways in which students called upon and utilized other modes, and in some cases, modes were combined while retaining their individual grammars (combination), or blended together into new modes with their own grammar (hybridization). The findings of this study suggest several implications for practice. Availability of, and access to, multimodality, modeling the grammars of various modalities, and a teacher's careful planning and consideration of the sequence of transduction among modes are especially important to physics teaching and learning. Students' multimodal engagement with science ideas and the role that grammars of modes play in constructing meaning represent potentially fruitful areas for future science education research.
Parsing recursive sentences with a connectionist model including a neural stack and synaptic gating.
Fedor, Anna; Ittzés, Péter; Szathmáry, Eörs
2011-02-21
It is supposed that humans are genetically predisposed to be able to recognize sequences of context-free grammars with centre-embedded recursion while other primates are restricted to the recognition of finite state grammars with tail-recursion. Our aim was to construct a minimalist neural network that is able to parse artificial sentences of both grammars in an efficient way without using the biologically unrealistic backpropagation algorithm. The core of this network is a neural stack-like memory where the push and pop operations are regulated by synaptic gating on the connections between the layers of the stack. The network correctly categorizes novel sentences of both grammars after training. We suggest that the introduction of the neural stack memory will turn out to be substantial for any biological 'hierarchical processor' and the minimalist design of the model suggests a quest for similar, realistic neural architectures. Copyright © 2010 Elsevier Ltd. All rights reserved.
NASA Astrophysics Data System (ADS)
Jansen, Peter A.; Watter, Scott
2012-03-01
Connectionist language modelling typically has difficulty with syntactic systematicity, or the ability to generalise language learning to untrained sentences. This work develops an unsupervised connectionist model of infant grammar learning. Following the semantic boostrapping hypothesis, the network distils word category using a developmentally plausible infant-scale database of grounded sensorimotor conceptual representations, as well as a biologically plausible semantic co-occurrence activation function. The network then uses this knowledge to acquire an early benchmark clausal grammar using correlational learning, and further acquires separate conceptual and grammatical category representations. The network displays strongly systematic behaviour indicative of the general acquisition of the combinatorial systematicity present in the grounded infant-scale language stream, outperforms previous contemporary models that contain primarily noun and verb word categories, and successfully generalises broadly to novel untrained sensorimotor grounded sentences composed of unfamiliar nouns and verbs. Limitations as well as implications to later grammar learning are discussed.
NASA Astrophysics Data System (ADS)
Imada, Keita; Nakamura, Katsuhiko
This paper describes recent improvements to Synapse system for incremental learning of general context-free grammars (CFGs) and definite clause grammars (DCGs) from positive and negative sample strings. An important feature of our approach is incremental learning, which is realized by a rule generation mechanism called “bridging” based on bottom-up parsing for positive samples and the search for rule sets. The sizes of rule sets and the computation time depend on the search strategies. In addition to the global search for synthesizing minimal rule sets and serial search, another method for synthesizing semi-optimum rule sets, we incorporate beam search to the system for synthesizing semi-minimal rule sets. The paper shows several experimental results on learning CFGs and DCGs, and we analyze the sizes of rule sets and the computation time.
The Case for a Realistic Beginning-Level Grammar Syllabus: The Round Peg in the Round Hole
ERIC Educational Resources Information Center
Heining-Boynton, Audrey L.
2010-01-01
The time has come to create a realistic grammar syllabus in the beginning language courses. Yet why do some in the profession insist that all grammar must be taught in the first year of language learning? Abundant data from decades of research on topics such as human memory, chunking, and second language acquisition exist that overwhelmingly…
ERIC Educational Resources Information Center
Mehrseresht, Kowsar; Gowhary, Habib; Azizifar, Akbar
2015-01-01
This study compared the relationship between the use of Persian vs. English in teaching English grammar to Iranian students and their achievement in learning English grammar. The participants of this study include 50 female students from a junior high school in Mehran. The researcher randomly selected 2 groups, one group was taught through the…
ERIC Educational Resources Information Center
Calliabetsou, Penelope
A discussion, in French, of second language grammar instruction looks at the differences between a traditional linguistic approach to grammar learning, used less and less with the advent of communicative language teaching methods, and a sociolinguistic approach, which focuses more closely on the sociocultural context of functional variants of a…
ERIC Educational Resources Information Center
Hos, Rabia; Kekec, Mustafa
2015-01-01
Learner and teacher beliefs play an important role in second language (L2) learning. Furthermore, the role of grammar instruction and error correction in the L2 classroom is a topic that is still debated in the literature. This study explored the beliefs of EFL learners and teachers regarding the controversial role of grammar instruction and error…
ERIC Educational Resources Information Center
Wade, Erin; Boon, Richard T.; Spencer, Vicky G.
2010-01-01
The aim of this research brief was to explore the efficacy of story mapping, with the integration of Kidspiration[C] software, to enhance the reading comprehension skills of story grammar components for elementary-age students. Three students served as the participants, two in third grade and one in fourth, with specific learning disabilities…
The Role of Grammar and the Teaching of Writing. Learning Package No. 39.
ERIC Educational Resources Information Center
Collins, Norma, Comp.; Smith, Carl, Ed.
Originally developed as part of a project for the Department of Defense Schools (DoDDS) system, this learning package on the role of grammar and the teaching of writing is designed for teachers who wish to upgrade or expand their teaching skills on their own. The package includes an overview of the project; a comprehensive search of the ERIC…
ERIC Educational Resources Information Center
Leng, Chin Hai; Siraj, Saedah; Asmawi, Adelina; Dewitt, Dorothy; Ranee, Alina
2013-01-01
This study was aimed at developing a Bahasa Melayu grammar learning portal for Form Two students (BMGLP). A developmental approach was used in this study. Needs analysis was carried out on the Bahasa Melayu teachers and Form Two students. The results of needs analysis on Form Two students showed that they preferred topics such as question…
ERIC Educational Resources Information Center
Bush, Don
1994-01-01
Discusses grammatical arthritis (an internal buildup of rules that hinders writing flexibility); four new "rules" (concerning "data is,""none are,""hopefully," and the restrictive "which"); attitudes toward English grammar; how to be a helpful editor; and where to learn about grammar. (SR)
ERIC Educational Resources Information Center
Harbusch, Karin; Hausdörfer, Annette
2016-01-01
COMPASS is an e-learning system that can visualize grammar errors during sentence production in German as a first or second language. Via drag-and-drop dialogues, it allows users to freely select word forms from a lexicon and to combine them into phrases and sentences. The system's core component is a natural-language generator that, for every new…
ERIC Educational Resources Information Center
Gün, Mesut
2016-01-01
The purpose of this empirical study is to determine how and to what extent the use of animations impacts auditory acquisition, one of the key learning fields in 6th grade grammar, as measured by students' academic success and completion rates. By using a pre-test and post-test design, this empirical study randomly divided a group of Turkish 6th…
Using L1 to Enhance the Grammar Learning and Having Only English Policy in EFL Classes
ERIC Educational Resources Information Center
Uyar, Yusuf
2012-01-01
The purpose of this study is to determine the differences of grammar learning, if any, between the EFL classes in which native language (L1) is sometimes used and only target language (L2) is used. Participants were 42 prep year students from one of the universities in Turkey. They have been studying English for 9 months, and now they are in level…
ERIC Educational Resources Information Center
Qiao, Hong Liang; Sussex, Roland
1996-01-01
Presents methods for using the Longman Mini-Concordancer on tagged and parsed corpora rather than plain text corpora. The article discusses several aspects with models to be applied in the classroom as an aid to grammar learning. This paper suggests exercises suitable for teaching English to both native and nonnative speakers. (13 references)…
ERIC Educational Resources Information Center
Amin, Noraziah Mohd; Abdul Rahman, Noor Azam; Sharipudin, Mohamad-Noor; Abu Bakar, Mohd Saifulnizam
2016-01-01
It is common for learners of English to make grammatical errors in their English Facebook posts that can be noticeable on their walls, which this perhaps as a result, influences the other Facebook users who know about the language to perform the unofficial duty as grammar Nazis and correct the errors. Thus, this research aims to examine if Malay…
Statistical learning and the challenge of syntax: Beyond finite state automata
NASA Astrophysics Data System (ADS)
Elman, Jeff
2003-10-01
Over the past decade, it has been clear that even very young infants are sensitive to the statistical structure of language input presented to them, and use the distributional regularities to induce simple grammars. But can such statistically-driven learning also explain the acquisition of more complex grammar, particularly when the grammar includes recursion? Recent claims (e.g., Hauser, Chomsky, and Fitch, 2002) have suggested that the answer is no, and that at least recursion must be an innate capacity of the human language acquisition device. In this talk evidence will be presented that indicates that, in fact, statistically-driven learning (embodied in recurrent neural networks) can indeed enable the learning of complex grammatical patterns, including those that involve recursion. When the results are generalized to idealized machines, it is found that the networks are at least equivalent to Push Down Automata. Perhaps more interestingly, with limited and finite resources (such as are presumed to exist in the human brain) these systems demonstrate patterns of performance that resemble those in humans.
LeadMine: a grammar and dictionary driven approach to entity recognition.
Lowe, Daniel M; Sayle, Roger A
2015-01-01
Chemical entity recognition has traditionally been performed by machine learning approaches. Here we describe an approach using grammars and dictionaries. This approach has the advantage that the entities found can be directly related to a given grammar or dictionary, which allows the type of an entity to be known and, if an entity is misannotated, indicates which resource should be corrected. As recognition is driven by what is expected, if spelling errors occur, they can be corrected. Correcting such errors is highly useful when attempting to lookup an entity in a database or, in the case of chemical names, converting them to structures. Our system uses a mixture of expertly curated grammars and dictionaries, as well as dictionaries automatically derived from public resources. We show that the heuristics developed to filter our dictionary of trivial chemical names (from PubChem) yields a better performing dictionary than the previously published Jochem dictionary. Our final system performs post-processing steps to modify the boundaries of entities and to detect abbreviations. These steps are shown to significantly improve performance (2.6% and 4.0% F1-score respectively). Our complete system, with incremental post-BioCreative workshop improvements, achieves 89.9% precision and 85.4% recall (87.6% F1-score) on the CHEMDNER test set. Grammar and dictionary approaches can produce results at least as good as the current state of the art in machine learning approaches. While machine learning approaches are commonly thought of as "black box" systems, our approach directly links the output entities to the input dictionaries and grammars. Our approach also allows correction of errors in detected entities, which can assist with entity resolution.
LeadMine: a grammar and dictionary driven approach to entity recognition
2015-01-01
Background Chemical entity recognition has traditionally been performed by machine learning approaches. Here we describe an approach using grammars and dictionaries. This approach has the advantage that the entities found can be directly related to a given grammar or dictionary, which allows the type of an entity to be known and, if an entity is misannotated, indicates which resource should be corrected. As recognition is driven by what is expected, if spelling errors occur, they can be corrected. Correcting such errors is highly useful when attempting to lookup an entity in a database or, in the case of chemical names, converting them to structures. Results Our system uses a mixture of expertly curated grammars and dictionaries, as well as dictionaries automatically derived from public resources. We show that the heuristics developed to filter our dictionary of trivial chemical names (from PubChem) yields a better performing dictionary than the previously published Jochem dictionary. Our final system performs post-processing steps to modify the boundaries of entities and to detect abbreviations. These steps are shown to significantly improve performance (2.6% and 4.0% F1-score respectively). Our complete system, with incremental post-BioCreative workshop improvements, achieves 89.9% precision and 85.4% recall (87.6% F1-score) on the CHEMDNER test set. Conclusions Grammar and dictionary approaches can produce results at least as good as the current state of the art in machine learning approaches. While machine learning approaches are commonly thought of as "black box" systems, our approach directly links the output entities to the input dictionaries and grammars. Our approach also allows correction of errors in detected entities, which can assist with entity resolution. PMID:25810776
Testing the limits of long-distance learning: Learning beyond a three-segment window
Finley, Sara
2012-01-01
Traditional flat-structured bigram and trigram models of phonotactics are useful because they capture a large number of facts about phonological processes. Additionally, these models predict that local interactions should be easier to learn than long-distance ones since long-distance dependencies are difficult to capture with these models. Long-distance phonotactic patterns have been observed by linguists in many languages, who have proposed different kinds of models, including feature-based bigram and trigram models, as well as precedence models. Contrary to flat-structured bigram and trigram models, these alternatives capture unbounded dependencies because at an abstract level of representation, the relevant elements are locally dependent, even if they are not adjacent at the observable level. Using an artificial grammar learning paradigm, we provide additional support for these alternative models of phonotactics. Participants in two experiments were exposed to a long-distance consonant harmony pattern in which the first consonant of a five-syllable word was [s] or [∫] ('sh') and triggered a suffix that was either [−su] or [−∫u] depending on the sibilant quality of this first consonant. Participants learned this pattern, despite the large distance between the trigger and the target, suggesting that when participants learn long-distance phonological patterns, that pattern is learned without specific reference to distance. PMID:22303815
ERIC Educational Resources Information Center
Kern, Alfred
1983-01-01
Describes an experimental course at Allegheny College in computer-generated poetry, which required students to deal simultaneously with grammar and rhetoric, poetics, the computer and BASIC, logic and artificial intelligence in order to create programs that would generate poetry. Examples of verses produced by course participants are included.…
ERIC Educational Resources Information Center
Schulze, Mathias; Penner, Nikolai
2008-01-01
The choice of grammatical framework in ICALL--the branch of CALL that applies artificial intelligence techniques--has important implications for both research and development. Matthews (1993) argued for one "that potentially meshes with SLA (second language acquisition)" (p. 5) and sketches three criteria that facilitate the crucial…
NASA Astrophysics Data System (ADS)
McKinney, B. A.; Crowe, J. E., Jr.; Voss, H. U.; Crooke, P. S.; Barney, N.; Moore, J. H.
2006-02-01
We introduce a grammar-based hybrid approach to reverse engineering nonlinear ordinary differential equation models from observed time series. This hybrid approach combines a genetic algorithm to search the space of model architectures with a Kalman filter to estimate the model parameters. Domain-specific knowledge is used in a context-free grammar to restrict the search space for the functional form of the target model. We find that the hybrid approach outperforms a pure evolutionary algorithm method, and we observe features in the evolution of the dynamical models that correspond with the emergence of favorable model components. We apply the hybrid method to both artificially generated time series and experimentally observed protein levels from subjects who received the smallpox vaccine. From the observed data, we infer a cytokine protein interaction network for an individual’s response to the smallpox vaccine.
Noam Chomsky Writes to Mrs. Davis about Grammar and Education.
ERIC Educational Resources Information Center
English Education, 1984
1984-01-01
In a personal letter, Chomsky suggests that while the study of grammar has little detectable effect on writing ability, it can, as a branch of science, help students learn how (and why) to think about hard and intriguing questions and to develop natural curiosity. (HOD)
Does hearing two dialects at different times help infants learn dialect-specific rules?
Gonzales, Kalim; Gerken, LouAnn; Gómez, Rebecca L.
2015-01-01
Infants might be better at teasing apart dialects with different language rules when hearing the dialects at different times, since language learners do not always combine input heard at different times. However, no previous research has independently varied the temporal distribution of conflicting language input. Twelve-month-olds heard two artificial language streams representing different dialects—a “pure stream” whose sentences adhered to abstract grammar rules like aX bY, and a “mixed stream” wherein any a- or b-word could precede any X- or Y-word. Infants were then tested for generalization of the pure stream’s rules to novel sentences. Supporting our hypothesis, infants showed generalization when the two streams’ sentences alternated in minutes-long intervals without any perceptually salient change across streams (Experiment 2), but not when all sentences from these same streams were randomly interleaved (Experiment 3). Results are interpreted in light of temporal context effects in word learning. PMID:25880342
Yes, We Still Need Universal Grammar
ERIC Educational Resources Information Center
Lidz, Jeffrey; Gleitman, Lila R.
2004-01-01
In a recent paper [Lidz, J., Gleitman, H., & Gleitman, L. (2003). Understanding how input matters: Verb learning and the footprint of universal grammar. "Cognition," 87, 151-178], we provided cross-linguistic evidence in favor of the following linked assertions: (i) Verb argument structure is a correlate of verb meaning; (ii) However, argument…
Modeling User Behavior in Computer Learning Tasks.
ERIC Educational Resources Information Center
Mantei, Marilyn M.
Model building techniques from Artifical Intelligence and Information-Processing Psychology are applied to human-computer interface tasks to evaluate existing interfaces and suggest new and better ones. The model is in the form of an augmented transition network (ATN) grammar which is built by applying grammar induction heuristics on a sequential…
Readings in Applied Transformational Grammar.
ERIC Educational Resources Information Center
Lester, Mark, Ed.
This volume contains nineteen essays, dealing with various aspects of transformational grammar, by scholars such as Noam Chomsky, Eric H. Lenneberg, and Leon Jakobovits. These essays have been reprinted from sources such as "College English" and "Language Learning" and are intended for the most part for a nontechnical audience. The anthology is…
Film Circles: Scaffolding Speaking for EFL Students
ERIC Educational Resources Information Center
Stephens, Crissa
2012-01-01
Pre-service teachers around the world face a unique challenge: bridging the gap between traditional teaching focused on grammar translation and receptive skills, and communicative teaching aimed at well-rounded communication skills. Many new EFL teachers learned English in a traditional context that emphasized memorization and grammar, but after…
Sequencing in SLA: Phonological Memory, Chunking, and Points of Order.
ERIC Educational Resources Information Center
Ellis, Nick C.
1996-01-01
Argues that much of language acquisition is sequence learning and that the resultant long-term knowledge base of language sequences serves as the database for grammar acquisition. The article also proposes mechanisms to analyze sequence information that result in knowledge of underlying grammar. (184 references) (Author/CK)
ERIC Educational Resources Information Center
Baleghizadeh, Sasan; Zarghami, Zahra
2012-01-01
This article reports on a study that was carried out in order to examine the impact of conferencing assessment on students' learning of English grammar. Forty-two Iranian intermediate university students were randomly assigned to an experimental and a control group. The participants in the experimental group took part in four individual and four…
Grammar-Supported 3d Indoor Reconstruction from Point Clouds for As-Built Bim
NASA Astrophysics Data System (ADS)
Becker, S.; Peter, M.; Fritsch, D.
2015-03-01
The paper presents a grammar-based approach for the robust automatic reconstruction of 3D interiors from raw point clouds. The core of the approach is a 3D indoor grammar which is an extension of our previously published grammar concept for the modeling of 2D floor plans. The grammar allows for the modeling of buildings whose horizontal, continuous floors are traversed by hallways providing access to the rooms as it is the case for most office buildings or public buildings like schools, hospitals or hotels. The grammar is designed in such way that it can be embedded in an iterative automatic learning process providing a seamless transition from LOD3 to LOD4 building models. Starting from an initial low-level grammar, automatically derived from the window representations of an available LOD3 building model, hypotheses about indoor geometries can be generated. The hypothesized indoor geometries are checked against observation data - here 3D point clouds - collected in the interior of the building. The verified and accepted geometries form the basis for an automatic update of the initial grammar. By this, the knowledge content of the initial grammar is enriched, leading to a grammar with increased quality. This higher-level grammar can then be applied to predict realistic geometries to building parts where only sparse observation data are available. Thus, our approach allows for the robust generation of complete 3D indoor models whose quality can be improved continuously as soon as new observation data are fed into the grammar-based reconstruction process. The feasibility of our approach is demonstrated based on a real-world example.
El Sistema de Formas en Colores for Teaching Grammar in Spanish
ERIC Educational Resources Information Center
Nailon, James
2010-01-01
Sistema de formas en colores (SFC) is a symbols-based system for teaching Spanish grammatical structures and concepts within a communicative context in the elementary school. The (ACTFL) Standards for Foreign Language Learning: Preparing for the 21st Century states that, "While grammar and vocabulary are essential tools for communication, it is…
Teaching Grammar as a Humanities Course.
ERIC Educational Resources Information Center
Kliman, Bernice W.
Nassau Community College (NCC) offers a grammar course as a humanities option that may be taken instead of a literature course. The approach to the course incorporates reader-response theory, feminist criticism, new historicism, and journal writing as the key means for enabling students to learn. Each student has a notebook divided into sections…
Grammars Leak: Modeling How Phonotactic Generalizations Interact within the Grammar
ERIC Educational Resources Information Center
Martin, Andrew
2011-01-01
I present evidence from Navajo and English that weaker, gradient versions of morpheme-internal phonotactic constraints, such as the ban on geminate consonants in English, hold even across prosodic word boundaries. I argue that these lexical biases are the result of a MAXIMUM ENTROPY phonotactic learning algorithm that maximizes the probability of…
Grammar Errors Made by ESL Tertiary Students in Writing
ERIC Educational Resources Information Center
Singh, Charanjit Kaur Swaran; Singh, Amreet Kaur Jageer; Razak, Nur Qistina Abd; Ravinthar, Thilaga
2017-01-01
The educational context in Malaysia demands students to be equipped with sound grammar so that they can produce good essays in the examination. However, despite having learnt English in primary and secondary schools, students in the higher learning institutions tend to make some grammatical errors in their writing. This study presents the…
ERIC Educational Resources Information Center
Hakansson, Gisela; Norrby, Catrin
2010-01-01
This article explores the influence of the learning environment on the second language acquisition of Swedish. Data were collected longitudinally over 1 year from 35 university students studying Swedish in Malmo, Sweden, and in Melbourne, Australia. Three areas were investigated: grammar, pragmatics, and lexicon. The development of grammar was…
Language acquisition and use: learning and applying probabilistic constraints.
Seidenberg, M S
1997-03-14
What kinds of knowledge underlie the use of language and how is this knowledge acquired? Linguists equate knowing a language with knowing a grammar. Classic "poverty of the stimulus" arguments suggest that grammar identification is an intractable inductive problem and that acquisition is possible only because children possess innate knowledge of grammatical structure. An alternative view is emerging from studies of statistical and probabilistic aspects of language, connectionist models, and the learning capacities of infants. This approach emphasizes continuity between how language is acquired and how it is used. It retains the idea that innate capacities constrain language learning, but calls into question whether they include knowledge of grammatical structure.
What exactly is Universal Grammar, and has anyone seen it?
Dąbrowska, Ewa
2015-01-01
Universal Grammar (UG) is a suspect concept. There is little agreement on what exactly is in it; and the empirical evidence for it is very weak. This paper critically examines a variety of arguments that have been put forward as evidence for UG, focussing on the three most powerful ones: universality (all human languages share a number of properties), convergence (all language learners converge on the same grammar in spite of the fact that they are exposed to different input), and poverty of the stimulus (children know things about language which they could not have learned from the input available to them). I argue that these arguments are based on premises which are either false or unsubstantiated. Languages differ from each other in profound ways, and there are very few true universals, so the fundamental crosslinguistic fact that needs explaining is diversity, not universality. A number of recent studies have demonstrated the existence of considerable differences in adult native speakers’ knowledge of the grammar of their language, including aspects of inflectional morphology, passives, quantifiers, and a variety of more complex constructions, so learners do not in fact converge on the same grammar. Finally, the poverty of the stimulus argument presupposes that children acquire linguistic representations of the kind postulated by generative grammarians; constructionist grammars such as those proposed by Tomasello, Goldberg and others can be learned from the input. We are the only species that has language, so there must be something unique about humans that makes language learning possible. The extent of crosslinguistic diversity and the considerable individual differences in the rate, style and outcome of acquisition suggest that it is more promising to think in terms of a language-making capacity, i.e., a set of domain-general abilities, rather than an innate body of knowledge about the structural properties of the target system. PMID:26157406
Challenges in Requirements Engineering: A Research Agenda for Conceptual Modeling
NASA Astrophysics Data System (ADS)
March, Salvatore T.; Allen, Gove N.
Domains for which information systems are developed deal primarily with social constructions—conceptual objects and attributes created by human intentions and for human purposes. Information systems play an active role in these domains. They document the creation of new conceptual objects, record and ascribe values to their attributes, initiate actions within the domain, track activities performed, and infer conclusions based on the application of rules that govern how the domain is affected when socially-defined and identified causal events occur. Emerging applications of information technologies evaluate such business rules, learn from experience, and adapt to changes in the domain. Conceptual modeling grammars aimed at representing their system requirements must include conceptual objects, socially-defined events, and the rules pertaining to them. We identify challenges to conceptual modeling research and pose an ontology of the artificial as a step toward meeting them.
Testing the limits of long-distance learning: learning beyond a three-segment window.
Finley, Sara
2012-01-01
Traditional flat-structured bigram and trigram models of phonotactics are useful because they capture a large number of facts about phonological processes. Additionally, these models predict that local interactions should be easier to learn than long-distance ones because long-distance dependencies are difficult to capture with these models. Long-distance phonotactic patterns have been observed by linguists in many languages, who have proposed different kinds of models, including feature-based bigram and trigram models, as well as precedence models. Contrary to flat-structured bigram and trigram models, these alternatives capture unbounded dependencies because at an abstract level of representation, the relevant elements are locally dependent, even if they are not adjacent at the observable level. Using an artificial grammar learning paradigm, we provide additional support for these alternative models of phonotactics. Participants in two experiments were exposed to a long-distance consonant-harmony pattern in which the first consonant of a five-syllable word was [s] or [∫] ("sh") and triggered a suffix that was either [-su] or [-∫u] depending on the sibilant quality of this first consonant. Participants learned this pattern, despite the large distance between the trigger and the target, suggesting that when participants learn long-distance phonological patterns, that pattern is learned without specific reference to distance. Copyright © 2012 Cognitive Science Society, Inc.
Distributional Language Learning: Mechanisms and Models of ategory Formation.
Aslin, Richard N; Newport, Elissa L
2014-09-01
In the past 15 years, a substantial body of evidence has confirmed that a powerful distributional learning mechanism is present in infants, children, adults and (at least to some degree) in nonhuman animals as well. The present article briefly reviews this literature and then examines some of the fundamental questions that must be addressed for any distributional learning mechanism to operate effectively within the linguistic domain. In particular, how does a naive learner determine the number of categories that are present in a corpus of linguistic input and what distributional cues enable the learner to assign individual lexical items to those categories? Contrary to the hypothesis that distributional learning and category (or rule) learning are separate mechanisms, the present article argues that these two seemingly different processes---acquiring specific structure from linguistic input and generalizing beyond that input to novel exemplars---actually represent a single mechanism. Evidence in support of this single-mechanism hypothesis comes from a series of artificial grammar-learning studies that not only demonstrate that adults can learn grammatical categories from distributional information alone, but that the specific patterning of distributional information among attested utterances in the learning corpus enables adults to generalize to novel utterances or to restrict generalization when unattested utterances are consistently absent from the learning corpus. Finally, a computational model of distributional learning that accounts for the presence or absence of generalization is reviewed and the implications of this model for linguistic-category learning are summarized.
Do I Know Its Wrong: Children's and Adults' Use of Unconventional Grammar in Text Messaging
ERIC Educational Resources Information Center
Kemp, Nenagh; Wood, Clare; Waldron, Sam
2014-01-01
There is concern that the violations of conventional grammar (both accidental and deliberate) often seen in text messages (e.g., "hi [smiley face emoticon] how is ya?!!") could lead to difficulty in learning or remembering formal grammatical conventions. We examined whether the grammatical violations made by 244 British children,…
Coaching, Not Correcting: An Alternative Model for Minority Students
ERIC Educational Resources Information Center
Dresser, Rocío; Asato, Jolynn
2014-01-01
The debate on the role of oral corrective feedback or "repair" in English instruction settings has been going on for over 30 years. Some educators believe that oral grammar correction is effective because they have noticed that students who learned a set of grammar rules were more likely to use them in real life communication (Krashen,…
An Evaluation of Computer-Assisted Instruction for English Grammar Review.
ERIC Educational Resources Information Center
Oates, William
1981-01-01
The use of computer assisted instruction (CAI) at Indiana University to provide basic grammar review to beginning writing students, and the results of an evaluation of the PLATO system as a learning resource are described. At the time of the evaluation, the CAI curriculum in use was the Language Arts Routing System (LARS). The evaluation involved…
ERIC Educational Resources Information Center
Vogel, Severine P.; Engelhard, George, Jr.
2011-01-01
The authors describe a quantitative approach based on Rasch measurement theory for evaluating classroom assessments within the context of foreign language classes. A secondary purpose was to examine the effects of two instructional approaches to teach grammar, a guided inductive and a deductive approach, through the lens of Rasch measurement…
The Utility of Blended Learning in EFL Reading and Grammar: A Case for Moodle
ERIC Educational Resources Information Center
Bataineh, Ruba Fahmi; Mayyas, Mais Barjas
2017-01-01
This study examines the effect of Moodle-enhanced instruction on Jordanian EFL students' reading comprehension and grammar performance. The study uses a quasi-experimental, pre- /post-test design. A purposeful sample of 32 students, enrolled in a language requirement course at a Jordanian state university, was randomly divided into an experimental…
ERIC Educational Resources Information Center
Ellis, Rod; Sheen, Younghee; Murakami, Mihoko; Takashima, Hide
2008-01-01
Truscott [Truscott, J., 1996. "The case against grammar correction in L2 writing classes.' "Language Learning" 46, 327-369; Truscott, J., 1999. "The case for "the case for grammar correction in L2 writing classes": a response to Ferris." "Journal of Second Language Writing" 8, 111-122] laid down the…
ERIC Educational Resources Information Center
Al-Harbi, Sarah S.; Alshumaimeri, Yousif A.
2016-01-01
The aim of this study was to apply the flipped classroom strategy in teaching English grammar to examine its impact on secondary school students' performances, perceptions, and attitudes toward learning English independently. The researcher implemented the flipped classroom strategy by selecting videos based on the students' textbook and uploading…
ERIC Educational Resources Information Center
Schenck, Andrew D.
2014-01-01
Characteristics of a grammatical feature, type of instruction, and proficiency level of the learner all contribute to the effectiveness of various types of explicit grammar curricula. Modern curricular designs and explicit pedagogical techniques must move beyond traditional one-size-fits-all strategies. This can be accomplished in two steps.…
Basic Quechua. Volume I: Quechua Reader. Volume II: Quechua Grammar and Dictionary.
ERIC Educational Resources Information Center
Aitken-Soux, Percy G.; Crapo, Richley H.
Volume I, the reader, has 86 lessons consisting of short passages and vocabulary lists. The language and the stories presented were learned and collected at the Indian community and Hacienda of Cayara near Potosi, Bolivia. Translations of the passages are provided in a separate section. The second volume presents the grammar and phonology of the…
Using Supplementary Materials in the Teaching of English: Pedagogic Scope and Applications
ERIC Educational Resources Information Center
Thakur, Vijay Singh
2015-01-01
For many students learning English as a second/foreign language is an uninteresting, dull experience. Quite often teachers present words, sentence patterns, and grammar rules in a very mechanical manner. As a result, people come to think of the teaching of grammar and vocabulary as a monotonous job. But a resourceful, imaginative and creative…
A Grammar of Spoken Brazilian Portuguese.
ERIC Educational Resources Information Center
Thomas, Earl W.
This is a first-year text of Portuguese grammar based on the Portuguese of moderately educated Brazilians from the area around Rio de Janeiro. Spoken idiomatic usage is emphasized. An important innovation is found in the presentation of verb tenses; they are presented in the order in which the native speaker learns them. The text is intended to…
Fisher, Naomi; Happé, Francesca; Dunn, Judy
2005-04-01
The aim of this study was to examine the relationship between language and theory of mind in children with autistic spectrum disorders (ASD) and children with moderate learning difficulties (MLD). Previous studies have found a strong association between language and theory of mind in a range of groups, but mostly have not included measures of both grammar and vocabulary; including these enables us to speculate about the causal direction of the relationship. Fifty-eight children with ASD and 118 children with MLD were given standardised assessments of vocabulary and grammar, along with standard theory of mind tasks. The relationship between language and theory of mind was more evident in children with ASD than in those with MLD, and grammar was a particularly strong predictor of theory of mind performance in children with ASD. Children with MLD performed better on false belief (FB) tasks than did children with ASD, and their performance was more predictable across the different theory of mind tasks. Language, in particular grammar, and theory of mind appear to be more strongly related in children with ASD than in those with MLD. We speculate that this relationship may be causal, with some grammatical understanding being a precursor of theory of mind. The implications of these findings are discussed in relation to possible routes for compensatory strategies for mentalising in children with ASD.
Interpretable Categorization of Heterogeneous Time Series Data
NASA Technical Reports Server (NTRS)
Lee, Ritchie; Kochenderfer, Mykel J.; Mengshoel, Ole J.; Silbermann, Joshua
2017-01-01
We analyze data from simulated aircraft encounters to validate and inform the development of a prototype aircraft collision avoidance system. The high-dimensional and heterogeneous time series dataset is analyzed to discover properties of near mid-air collisions (NMACs) and categorize the NMAC encounters. Domain experts use these properties to better organize and understand NMAC occurrences. Existing solutions either are not capable of handling high-dimensional and heterogeneous time series datasets or do not provide explanations that are interpretable by a domain expert. The latter is critical to the acceptance and deployment of safety-critical systems. To address this gap, we propose grammar-based decision trees along with a learning algorithm. Our approach extends decision trees with a grammar framework for classifying heterogeneous time series data. A context-free grammar is used to derive decision expressions that are interpretable, application-specific, and support heterogeneous data types. In addition to classification, we show how grammar-based decision trees can also be used for categorization, which is a combination of clustering and generating interpretable explanations for each cluster. We apply grammar-based decision trees to a simulated aircraft encounter dataset and evaluate the performance of four variants of our learning algorithm. The best algorithm is used to analyze and categorize near mid-air collisions in the aircraft encounter dataset. We describe each discovered category in detail and discuss its relevance to aircraft collision avoidance.
Discovery Learning Strategies in English
ERIC Educational Resources Information Center
Singaravelu, G.
2012-01-01
The study substantiates that the effectiveness of Discovery Learning method in learning English Grammar for the learners at standard V. Discovery Learning is particularly beneficial for any student learning a second language. It promotes peer interaction and development of the language and the learning of concepts with content. Reichert and…
Incremental Learning of Context Free Grammars by Parsing-Based Rule Generation and Rule Set Search
NASA Astrophysics Data System (ADS)
Nakamura, Katsuhiko; Hoshina, Akemi
This paper discusses recent improvements and extensions in Synapse system for inductive inference of context free grammars (CFGs) from sample strings. Synapse uses incremental learning, rule generation based on bottom-up parsing, and the search for rule sets. The form of production rules in the previous system is extended from Revised Chomsky Normal Form A→βγ to Extended Chomsky Normal Form, which also includes A→B, where each of β and γ is either a terminal or nonterminal symbol. From the result of bottom-up parsing, a rule generation mechanism synthesizes minimum production rules required for parsing positive samples. Instead of inductive CYK algorithm in the previous version of Synapse, the improved version uses a novel rule generation method, called ``bridging,'' which bridges the lacked part of the derivation tree for the positive string. The improved version also employs a novel search strategy, called serial search in addition to minimum rule set search. The synthesis of grammars by the serial search is faster than the minimum set search in most cases. On the other hand, the size of the generated CFGs is generally larger than that by the minimum set search, and the system can find no appropriate grammar for some CFL by the serial search. The paper shows experimental results of incremental learning of several fundamental CFGs and compares the methods of rule generation and search strategies.
Towards an explicit account of implicit learning.
Forkstam, Christian; Petersson, Karl Magnus
2005-08-01
The human brain supports acquisition mechanisms that can extract structural regularities implicitly from experience without the induction of an explicit model. Reber defined the process by which an individual comes to respond appropriately to the statistical structure of the input ensemble as implicit learning. He argued that the capacity to generalize to new input is based on the acquisition of abstract representations that reflect underlying structural regularities in the acquisition input. We focus this review of the implicit learning literature on studies published during 2004 and 2005. We will not review studies of repetition priming ('implicit memory'). Instead we focus on two commonly used experimental paradigms: the serial reaction time task and artificial grammar learning. Previous comprehensive reviews can be found in Seger's 1994 article and the Handbook of Implicit Learning. Emerging themes include the interaction between implicit and explicit processes, the role of the medial temporal lobe, developmental aspects of implicit learning, age-dependence, the role of sleep and consolidation. The attempts to characterize the interaction between implicit and explicit learning are promising although not well understood. The same can be said about the role of sleep and consolidation. Despite the fact that lesion studies have relatively consistently suggested that the medial temporal lobe memory system is not necessary for implicit learning, a number of functional magnetic resonance studies have reported medial temporal lobe activation in implicit learning. This issue merits further research. Finally, the clinical relevance of implicit learning remains to be determined.
A multiple process solution to the logical problem of language acquisition*
MACWHINNEY, BRIAN
2006-01-01
Many researchers believe that there is a logical problem at the center of language acquisition theory. According to this analysis, the input to the learner is too inconsistent and incomplete to determine the acquisition of grammar. Moreover, when corrective feedback is provided, children tend to ignore it. As a result, language learning must rely on additional constraints from universal grammar. To solve this logical problem, theorists have proposed a series of constraints and parameterizations on the form of universal grammar. Plausible alternatives to these constraints include: conservatism, item-based learning, indirect negative evidence, competition, cue construction, and monitoring. Careful analysis of child language corpora has cast doubt on claims regarding the absence of positive exemplars. Using demonstrably available positive data, simple learning procedures can be formulated for each of the syntactic structures that have traditionally motivated invocation of the logical problem. Within the perspective of emergentist theory (MacWhinney, 2001), the operation of a set of mutually supportive processes is viewed as providing multiple buffering for developmental outcomes. However, the fact that some syntactic structures are more difficult to learn than others can be used to highlight areas of intense grammatical competition and processing load. PMID:15658750
Battaglia, Francesco P.; Pennartz, Cyriel M. A.
2011-01-01
After acquisition, memories underlie a process of consolidation, making them more resistant to interference and brain injury. Memory consolidation involves systems-level interactions, most importantly between the hippocampus and associated structures, which takes part in the initial encoding of memory, and the neocortex, which supports long-term storage. This dichotomy parallels the contrast between episodic memory (tied to the hippocampal formation), collecting an autobiographical stream of experiences, and semantic memory, a repertoire of facts and statistical regularities about the world, involving the neocortex at large. Experimental evidence points to a gradual transformation of memories, following encoding, from an episodic to a semantic character. This may require an exchange of information between different memory modules during inactive periods. We propose a theory for such interactions and for the formation of semantic memory, in which episodic memory is encoded as relational data. Semantic memory is modeled as a modified stochastic grammar, which learns to parse episodic configurations expressed as an association matrix. The grammar produces tree-like representations of episodes, describing the relationships between its main constituents at multiple levels of categorization, based on its current knowledge of world regularities. These regularities are learned by the grammar from episodic memory information, through an expectation-maximization procedure, analogous to the inside–outside algorithm for stochastic context-free grammars. We propose that a Monte-Carlo sampling version of this algorithm can be mapped on the dynamics of “sleep replay” of previously acquired information in the hippocampus and neocortex. We propose that the model can reproduce several properties of semantic memory such as decontextualization, top-down processing, and creation of schemata. PMID:21887143
Semantics of Context-Free Fragments of Natural Languages.
ERIC Educational Resources Information Center
Suppes, Patrick
The objective of this paper is to combine the viewpoint of model-theoretic semantics and generative grammar, to define semantics for context-free languages, and to apply the results to some fragments of natural language. Following the introduction in the first section, Section 2 describes a simple artificial example to illustrate how a semantic…
ERIC Educational Resources Information Center
Reeder, Patricia A.
2010-01-01
A crucial component of language acquisition involves organizing words into grammatical categories and discovering relations between them. The organization of words into categories, and the generalization of patterns from some seen word combinations to novel ones, account for important aspects of the expansion of linguistic knowledge in the early…
Using Artificial Intelligence To Teach English to Deaf People. Final Report.
ERIC Educational Resources Information Center
Loritz, Donald; Zambrano, Robert
This report describes a project to develop an English grammar-checking word processor intended for use by college students with hearing impairments. The project succeeded in its first objective, achievement of 92 percent parsing accuracy across the freely written compositions of college-bound deaf students. The second objective, ability to use the…
Impact of Co-Operative Learning Strategies in English
ERIC Educational Resources Information Center
Singaravelu, G.
2010-01-01
The study illuminates the effectiveness of Co-operative Learning Strategies in learning English Grammar for the learners at secondary level. Cooperative Learning is particularly beneficial for any student learning as a second language. It promotes peer interaction, which helps the development of language and the learning of concepts with content.…
ERIC Educational Resources Information Center
Chavez, Monika
2017-01-01
This questionnaire study analyzed responses of 96 first-, second-, third-, and fourth-year students of College German to the second part of a two-part question, namely, (a) what forms of German grammar are particularly difficult, and (b) why so. Response patterns show that word order, adjective endings, the subjunctive, and the gender/number/case…
ERIC Educational Resources Information Center
Abrams, Zsuzsanna; Rott, Susanne
2017-01-01
Research on second language (L2) grammar in task-based language learning has yielded inconsistent results regarding the effects of task-complexity, prompting calls for more nuanced analyses of L2 development and task performance. The present cross-sectional study contributes to this discussion by comparing the performance of 245 learners of German…
The Effects of Age on Second Language Grammar and Speech Production
ERIC Educational Resources Information Center
Huang, Becky H.
2014-01-01
The current study examined the age of learning effect on second language (L2) acquisition. The research goals of the study were twofold: to test whether there is an independent age effect controlling for other potentially confounding variables, and to clarify the age effect across L2 grammar and speech production domains. The study included 118…
Editor in Chief[R] Beginning: Grammar Disasters and Punctuation Faux Pas.
ERIC Educational Resources Information Center
Beckwith, Carrie; Block, Cheryl; Broz, Christine; Hockett, Margaret; White, David
This workbook is designed as an introduction to the "Editor in Chief" series, which reinforces the rules of written English. In this workbook, student first review the rules of grammar and mechanics using multiple-choice questions; then the students learn to apply these rules in context by editing stories in a variety of formats. This "Beginning"…
ERIC Educational Resources Information Center
Wolff, Florence I.
To determine the effect of background music during classroom instruction in vocabulary and grammar and in the delivery of speeches, sophomore high school students were divided into an experimental group (66 students) and a control group (60 students). For one semester the experimental group heard classical background music during instruction,…
The Grammar Workshop: Systematic Language Study in Reading and Writing Contexts
ERIC Educational Resources Information Center
Zuidema, Leah A.
2012-01-01
In this "prosumer" era in which people seem always to be producing and consuming texts, words matter as much as--or more than--they ever have. Learning how grammar works in the texts they read and write is essential to students' literacy. It is time to reframe English teachers' view to include both writing "and" reading as contexts for grammar…
ERIC Educational Resources Information Center
Criado, Raquel
2016-01-01
This article presents a framework for the elaboration of Foreign Language Teaching (FLT) grammar materials for adults based on the application to SLA of Skill Acquisition Theory (SAT). This theory is argued to compensate for the major drawbacks of FLT settings in comparison with second language contexts (lack of classroom learning time and limited…
Grammaire de texte et apprentissage de l'ecrit (Textual Grammar and the Teaching of Writing).
ERIC Educational Resources Information Center
Woodley, Marie-Paule
1985-01-01
Textual grammar provides a means of examining the relationship between the sentence and the text as a whole, and it is in that context that the problems of learning a second language become clear and that it becomes important for the teacher to understand how the text functions so as to impart it to students. (MSE)
ERIC Educational Resources Information Center
Gaudin, Colette; Kogan, Vivian
1975-01-01
This article proposes the use of literary texts as a means of teaching French grammar, and to help remedy problems encountered in learning, particularly by intermediate-level students. (Text is in French.) (CLK)
Implicit Learning of Nonlocal Musical Rules: A Comment on Kuhn and Dienes (2005)
ERIC Educational Resources Information Center
Desmet, Charlotte; Poulin-Charronnat, Benedicte; Lalitte, Philippe; Perruchet, Pierre
2009-01-01
In a recent study, G. Kuhn and Z. Dienes (2005) reported that participants previously exposed to a set of musical tunes generated by a biconditional grammar subsequently preferred new tunes that respected the grammar over new ungrammatical tunes. Because the study and test tunes did not share any chunks of adjacent intervals, this result may be…
Grammar Tiles: An Opportunity for Manipulatives in the Language Arts Classroom (Middle Ground).
ERIC Educational Resources Information Center
Atlee, Marilyn; Hardin, Linda Friddle
1995-01-01
Presents 2 articles concentrating on middle-school teaching: 1 that describes how a teacher, using 12 zip-lock sandwich bags and 300 small ceramic tiles, may create "grammar tiles," a method for teaching the parts of speech; and another that describes several innovative ways in which students have learned to work with language while manipulating…
Zimmerer, Vitor C; Varley, Rosemary A
2015-08-01
Processing of linear word order (linear configuration) is important for virtually all languages and essential to languages such as English which have little functional morphology. Damage to systems underpinning configurational processing may specifically affect word-order reliant sentence structures. We explore order processing in WR, a man with primary progressive aphasia (PPA). In a previous report, we showed how WR showed impaired processing of actives, which rely strongly on word order, but not passives where functional morphology signals thematic roles. Using the artificial grammar learning (AGL) paradigm, we examined WR's ability to process order in non-verbal, visual sequences and compared his profile to that of healthy controls, and aphasic participants with and without severe syntactic disorder. Results suggested that WR, like some other patients with severe syntactic impairment, was unable to detect linear configurational structure. The data are consistent with the notion that disruption of possibly domain-general linearization systems differentially affects processing of active and passive sentence structures. Further research is needed to test this account, and we suggest hypotheses for future studies. Copyright © 2015 Elsevier Ltd. All rights reserved.
Hidden Markov models and other machine learning approaches in computational molecular biology
DOE Office of Scientific and Technical Information (OSTI.GOV)
Baldi, P.
1995-12-31
This tutorial was one of eight tutorials selected to be presented at the Third International Conference on Intelligent Systems for Molecular Biology which was held in the United Kingdom from July 16 to 19, 1995. Computational tools are increasingly needed to process the massive amounts of data, to organize and classify sequences, to detect weak similarities, to separate coding from non-coding regions, and reconstruct the underlying evolutionary history. The fundamental problem in machine learning is the same as in scientific reasoning in general, as well as statistical modeling: to come up with a good model for the data. In thismore » tutorial four classes of models are reviewed. They are: Hidden Markov models; artificial Neural Networks; Belief Networks; and Stochastic Grammars. When dealing with DNA and protein primary sequences, Hidden Markov models are one of the most flexible and powerful alignments and data base searches. In this tutorial, attention is focused on the theory of Hidden Markov Models, and how to apply them to problems in molecular biology.« less
Developmental Dissociation Between the Maturation of Procedural Memory and Declarative Memory
Finn, Amy S.; Kalra, Priya B.; Goetz, Calvin; Leonard, Julia A.; Sheridan, Margaret A.; Gabrieli, John D. E.
2015-01-01
Declarative memory and procedural memory are known to be two fundamentally different kinds of memory that are dissociable in their psychological characteristics and measurement (explicit versus implicit) and in the neural systems that subserve each kind of memory. Declarative memory abilities are known to improve from childhood through young adulthood, but the developmental maturation of procedural memory is largely unknown. We compared 10-year-old children and young adults on measures of declarative memory, working memory capacity, and four measures of procedural memory that have been strongly dissociated from declarative memory (mirror tracing, rotary pursuit, probabilistic classification, and artificial grammar). Children had lesser declarative memory ability and lesser working memory capacity than the adults, but exhibited learning equivalent to adults on all four measures of procedural memory. Declarative and procedural memory are, therefore, developmentally dissociable, with procedural memory being adult-like by age 10 and declarative memory continuing to mature into young adulthood. PMID:26560675
The proper treatment of language acquisition and change in a population setting.
Niyogi, Partha; Berwick, Robert C
2009-06-23
Language acquisition maps linguistic experience, primary linguistic data (PLD), onto linguistic knowledge, a grammar. Classically, computational models of language acquisition assume a single target grammar and one PLD source, the central question being whether the target grammar can be acquired from the PLD. However, real-world learners confront populations with variation, i.e., multiple target grammars and PLDs. Removing this idealization has inspired a new class of population-based language acquisition models. This paper contrasts 2 such models. In the first, iterated learning (IL), each learner receives PLD from one target grammar but different learners can have different targets. In the second, social learning (SL), each learner receives PLD from possibly multiple targets, e.g., from 2 parents. We demonstrate that these 2 models have radically different evolutionary consequences. The IL model is dynamically deficient in 2 key respects. First, the IL model admits only linear dynamics and so cannot describe phase transitions, attested rapid changes in languages over time. Second, the IL model cannot properly describe the stability of languages over time. In contrast, the SL model leads to nonlinear dynamics, bifurcations, and possibly multiple equilibria and so suffices to model both the case of stable language populations, mixtures of more than 1 language, as well as rapid language change. The 2 models also make distinct, empirically testable predictions about language change. Using historical data, we show that the SL model more faithfully replicates the dynamics of the evolution of Middle English.
ERIC Educational Resources Information Center
Steinlen, Anja K.
2017-01-01
Both for the first language (L1) and for all additional languages (L2 or L3), grammatical knowledge plays a vital role in understanding texts (e.g., Grabe, 2005). However, little is known about the development and interaction of grammar and reading comprehension in beginning foreign language learning, especially with respect to children with a…
An All-Fragments Grammar for Simple and Accurate Parsing
2012-03-21
Tsujii. Probabilistic CFG with latent annotations. In Proceedings of ACL, 2005. Slav Petrov and Dan Klein. Improved Inference for Unlexicalized Parsing. In...Proceedings of NAACL-HLT, 2007. Slav Petrov and Dan Klein. Sparse Multi-Scale Grammars for Discriminative Latent Variable Parsing. In Proceedings of...EMNLP, 2008. Slav Petrov, Leon Barrett, Romain Thibaux, and Dan Klein. Learning Accurate, Compact, and Interpretable Tree Annotation. In Proceedings
A random forest learning assisted "divide and conquer" approach for peptide conformation search.
Chen, Xin; Yang, Bing; Lin, Zijing
2018-06-11
Computational determination of peptide conformations is challenging as it is a problem of finding minima in a high-dimensional space. The "divide and conquer" approach is promising for reliably reducing the search space size. A random forest learning model is proposed here to expand the scope of applicability of the "divide and conquer" approach. A random forest classification algorithm is used to characterize the distributions of the backbone φ-ψ units ("words"). A random forest supervised learning model is developed to analyze the combinations of the φ-ψ units ("grammar"). It is found that amino acid residues may be grouped as equivalent "words", while the φ-ψ combinations in low-energy peptide conformations follow a distinct "grammar". The finding of equivalent words empowers the "divide and conquer" method with the flexibility of fragment substitution. The learnt grammar is used to improve the efficiency of the "divide and conquer" method by removing unfavorable φ-ψ combinations without the need of dedicated human effort. The machine learning assisted search method is illustrated by efficiently searching the conformations of GGG/AAA/GGGG/AAAA/GGGGG through assembling the structures of GFG/GFGG. Moreover, the computational cost of the new method is shown to increase rather slowly with the peptide length.
LEARNING NONADJACENT DEPENDENCIES IN PHONOLOGY: TRANSPARENT VOWELS IN VOWEL HARMONY
Finley, Sara
2015-01-01
Nonadjacent dependencies are an important part of the structure of language. While the majority of syntactic and phonological processes occur at a local domain, there are several processes that appear to apply at a distance, posing a challenge for theories of linguistic structure. This article addresses one of the most common nonadjacent phenomena in phonology: transparent vowels in vowel harmony. Vowel harmony occurs when adjacent vowels are required to share the same phonological feature value (e.g. V+F C V+F). However, transparent vowels create a second-order nonadjacent pattern because agreement between two vowels can ‘skip’ the transparent neutral vowel in addition to consonants (e.g. V+F C VT−F C V+F). Adults are shown to display initial learning biases against second-order nonadjacency in experiments that use an artificial grammar learning paradigm. Experiments 1–3 show that adult learners fail to learn the second-order long-distance dependency created by the transparent vowel (as compared to a control condition). In experiments 4–5, training in terms of overall exposure as well as the frequency of relevant transparent items was increased. With adequate exposure, learners reliably generalize to novel words containing transparent vowels. The experiments suggest that learners are sensitive to the structure of phonological representations, even when learning occurs at a relatively rapid pace.* PMID:26146423
STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning
Kappel, David; Nessler, Bernhard; Maass, Wolfgang
2014-01-01
In order to cross a street without being run over, we need to be able to extract very fast hidden causes of dynamically changing multi-modal sensory stimuli, and to predict their future evolution. We show here that a generic cortical microcircuit motif, pyramidal cells with lateral excitation and inhibition, provides the basis for this difficult but all-important information processing capability. This capability emerges in the presence of noise automatically through effects of STDP on connections between pyramidal cells in Winner-Take-All circuits with lateral excitation. In fact, one can show that these motifs endow cortical microcircuits with functional properties of a hidden Markov model, a generic model for solving such tasks through probabilistic inference. Whereas in engineering applications this model is adapted to specific tasks through offline learning, we show here that a major portion of the functionality of hidden Markov models arises already from online applications of STDP, without any supervision or rewards. We demonstrate the emergent computing capabilities of the model through several computer simulations. The full power of hidden Markov model learning can be attained through reward-gated STDP. This is due to the fact that these mechanisms enable a rejection sampling approximation to theoretically optimal learning. We investigate the possible performance gain that can be achieved with this more accurate learning method for an artificial grammar task. PMID:24675787
Awareness and Learning under Incidental Learning Conditions
ERIC Educational Resources Information Center
Rogers, John
2017-01-01
Recent years have witnessed a strong and increasing interest in the incidental learning of second language grammar. While much of this research has focused on the acquisition of second language word order or noun-determiner systems, relatively fewer studies have examined the learning of second language morphology. Results of studies that have…
Neger, Thordis M.; Rietveld, Toni; Janse, Esther
2014-01-01
Within a few sentences, listeners learn to understand severely degraded speech such as noise-vocoded speech. However, individuals vary in the amount of such perceptual learning and it is unclear what underlies these differences. The present study investigates whether perceptual learning in speech relates to statistical learning, as sensitivity to probabilistic information may aid identification of relevant cues in novel speech input. If statistical learning and perceptual learning (partly) draw on the same general mechanisms, then statistical learning in a non-auditory modality using non-linguistic sequences should predict adaptation to degraded speech. In the present study, 73 older adults (aged over 60 years) and 60 younger adults (aged between 18 and 30 years) performed a visual artificial grammar learning task and were presented with 60 meaningful noise-vocoded sentences in an auditory recall task. Within age groups, sentence recognition performance over exposure was analyzed as a function of statistical learning performance, and other variables that may predict learning (i.e., hearing, vocabulary, attention switching control, working memory, and processing speed). Younger and older adults showed similar amounts of perceptual learning, but only younger adults showed significant statistical learning. In older adults, improvement in understanding noise-vocoded speech was constrained by age. In younger adults, amount of adaptation was associated with lexical knowledge and with statistical learning ability. Thus, individual differences in general cognitive abilities explain listeners' variability in adapting to noise-vocoded speech. Results suggest that perceptual and statistical learning share mechanisms of implicit regularity detection, but that the ability to detect statistical regularities is impaired in older adults if visual sequences are presented quickly. PMID:25225475
Studying Different Tasks of Implicit Learning across Multiple Test Sessions Conducted on the Web
Sævland, Werner; Norman, Elisabeth
2016-01-01
Implicit learning is usually studied through individual performance on a single task, with the most common tasks being the Serial Reaction Time (SRT) task, the Dynamic System Control (DSC) task, and Artificial Grammar Learning (AGL). Few attempts have been made to compare performance across different implicit learning tasks within the same study. The current study was designed to explore the relationship between performance on the DSC Sugar factory task and the Alternating Serial Reaction Time (ASRT) task. We also addressed another limitation of traditional implicit learning experiments, namely that implicit learning is usually studied in laboratory settings over a restricted time span lasting for less than an hour. In everyday situations, implicit learning is assumed to involve a gradual accumulation of knowledge across several learning episodes over a longer time span. One way to increase the ecological validity of implicit learning experiments could be to present the learning material repeatedly across shorter test sessions. This can most easily be done by using a web-based setup in which participants can access the material from home. We therefore created an online web-based system for measuring implicit learning that could be administered in either single or multiple sessions. Participants (n = 66) were assigned to either a single session or a multiple session condition. Learning occurred on both tasks, and awareness measures suggested that acquired knowledge was not fully conscious on either of the tasks. Learning and the degree of conscious awareness of the learned regularities were compared across conditions and tasks. On the DSC task, performance was not affected by whether learning had taken place in one or over multiple sessions. On the ASRT task, RT improvement across blocks was larger in the multiple-session condition. Learning in the two tasks was not related. PMID:27375512
Neger, Thordis M; Rietveld, Toni; Janse, Esther
2014-01-01
Within a few sentences, listeners learn to understand severely degraded speech such as noise-vocoded speech. However, individuals vary in the amount of such perceptual learning and it is unclear what underlies these differences. The present study investigates whether perceptual learning in speech relates to statistical learning, as sensitivity to probabilistic information may aid identification of relevant cues in novel speech input. If statistical learning and perceptual learning (partly) draw on the same general mechanisms, then statistical learning in a non-auditory modality using non-linguistic sequences should predict adaptation to degraded speech. In the present study, 73 older adults (aged over 60 years) and 60 younger adults (aged between 18 and 30 years) performed a visual artificial grammar learning task and were presented with 60 meaningful noise-vocoded sentences in an auditory recall task. Within age groups, sentence recognition performance over exposure was analyzed as a function of statistical learning performance, and other variables that may predict learning (i.e., hearing, vocabulary, attention switching control, working memory, and processing speed). Younger and older adults showed similar amounts of perceptual learning, but only younger adults showed significant statistical learning. In older adults, improvement in understanding noise-vocoded speech was constrained by age. In younger adults, amount of adaptation was associated with lexical knowledge and with statistical learning ability. Thus, individual differences in general cognitive abilities explain listeners' variability in adapting to noise-vocoded speech. Results suggest that perceptual and statistical learning share mechanisms of implicit regularity detection, but that the ability to detect statistical regularities is impaired in older adults if visual sequences are presented quickly.
ERIC Educational Resources Information Center
Muhlisin; Salikin, Hairus
2015-01-01
The study aimed, firstly, to assess a group of Indonesian adult EFL students' mastery of tenses and aspects as part of their mastery of English grammar and, secondly, to identify if their experience of going through the instructional processes, their perceptions of and habits in studying English grammar shaped their mastery of tenses and aspects.…
The growth of language: Universal Grammar, experience, and principles of computation.
Yang, Charles; Crain, Stephen; Berwick, Robert C; Chomsky, Noam; Bolhuis, Johan J
2017-10-01
Human infants develop language remarkably rapidly and without overt instruction. We argue that the distinctive ontogenesis of child language arises from the interplay of three factors: domain-specific principles of language (Universal Grammar), external experience, and properties of non-linguistic domains of cognition including general learning mechanisms and principles of efficient computation. We review developmental evidence that children make use of hierarchically composed structures ('Merge') from the earliest stages and at all levels of linguistic organization. At the same time, longitudinal trajectories of development show sensitivity to the quantity of specific patterns in the input, which suggests the use of probabilistic processes as well as inductive learning mechanisms that are suitable for the psychological constraints on language acquisition. By considering the place of language in human biology and evolution, we propose an approach that integrates principles from Universal Grammar and constraints from other domains of cognition. We outline some initial results of this approach as well as challenges for future research. Copyright © 2017 Elsevier Ltd. All rights reserved.
Instructional Variables in Meaningful Learning of Computer Programming.
ERIC Educational Resources Information Center
Mayer, Richard E.
Some 120 undergraduate students participated in experiments to learn how novice computer programers learn to interact with the computer. Two instructional booklets were used: A "rule" booklet consisted of definitions and examples of seven modified FORTRAN statements and appropriate grammar rules; the "model" booklet was…
Rusistika: The Russian Journal of the Association for Language Learning, 1994-1997.
ERIC Educational Resources Information Center
Tejerizo, Margaret, Ed.
1997-01-01
This journal focuses on the teaching and learning of Russian. Selected articles include the following: "Soviet Cinema: Women's films"; "Learning and Teaching Russian"; "Russian in a Weekend?""Words Having a Religious Connotation in Russian"; "Grammar and Communication: The Ab Initio Russian…
ERIC Educational Resources Information Center
Endress, Ansgar D.; Hauser, Marc D.
2011-01-01
Rules, and exceptions to such rules, are ubiquitous in many domains, including language. Here we used simple artificial grammars to investigate the influence of 2 factors on the acquisition of rules and their exceptions, namely type frequency (the relative numbers of different exceptions to different regular items) and token frequency (the number…
Plain Speaking: A Theory and Grammar of Spontaneous Discourse.
1981-06-01
reveals surface linguistic phenomena that contradict traditional theories based on single sentence studies and longer texts artificially constructed...Excerpt 1 , Chapter 1, to illustrate the importance of functional development and discernment. In the midst of discussing the case of two twins under study ...his social interactive behavior in kindergarten. Authority: Source: Study Method : Investigative filming of kids over time. Credentials: Excellent
A grammar-based semantic similarity algorithm for natural language sentences.
Lee, Ming Che; Chang, Jia Wei; Hsieh, Tung Cheng
2014-01-01
This paper presents a grammar and semantic corpus based similarity algorithm for natural language sentences. Natural language, in opposition to "artificial language", such as computer programming languages, is the language used by the general public for daily communication. Traditional information retrieval approaches, such as vector models, LSA, HAL, or even the ontology-based approaches that extend to include concept similarity comparison instead of cooccurrence terms/words, may not always determine the perfect matching while there is no obvious relation or concept overlap between two natural language sentences. This paper proposes a sentence similarity algorithm that takes advantage of corpus-based ontology and grammatical rules to overcome the addressed problems. Experiments on two famous benchmarks demonstrate that the proposed algorithm has a significant performance improvement in sentences/short-texts with arbitrary syntax and structure.
Grammar of Binding in the languages of the world: Innate or learned?
Cole, Peter; Hermon, Gabriella; Yanti
2015-08-01
Languages around the world often appear to manifest nearly identical grammatical properties, but, at the same time, the grammatical differences can also be great, sometimes even seeming to support Joos's (1958) claim that "languages can differ from each other without limit and in unpredictable way" (p. 96). This state of affairs provides a puzzle for both nativist approaches to language like Generative Grammar that posit a fixed "Universal Grammar", and for approaches that minimize the contribution of innate grammatical structure. We approach this puzzling state of affairs by looking at one area of grammar, "Binding", the system of local and long distance anaphoric elements in a language. This is an area of grammar that has long been central to the Generative approach to language structure. We compare the anaphoric systems found in "familiar" (European-like) languages that contain dedicated classes of bound and free anaphors (pronouns and reflexives) with the anaphoric systems in endangered Austronesian languages of Indonesia, languages in which there is overlap or no distinction between pronouns and reflexives (Peranakan Javanese and Jambi Malay). What is of special interest about Jambi anaphora is not only that conservative dialects of Jambi Malay do not distinguish between pronouns and reflexives, but that Jambi anaphora appear to constitute a live snapshot of a unitary class of anaphora in the process of grammaticalization as a distinct system of pronouns and reflexives. We argue that the facts of Jambi anaphora cannot be explained by theories positing a Universal Grammar of Binding. Thus, these facts provide evidence that complex grammatical systems like Binding cannot be innate. Our results from Austronesian languages are confirmed by data from signed and creole languages. Our conclusion is that the human language learning capacity must include the ability to model the full complexity found in the syntax of the world's languages. From the perspective of child language acquisition, these conclusions suggest that Universal Grammar does not provide a general solution to the problem of poverty of the stimulus, and the solution to that problem must reside at least in part in special properties of the grammar construction tools available to the language learner rather than simply in a fixed set of grammatical rules hard wired into the brains of speakers. Copyright © 2015 Elsevier B.V. All rights reserved.
ERIC Educational Resources Information Center
Ritchie, Graeme
2003-01-01
Features of presentation-practice-production (PPP) and task-based learning (TBL) models for language teaching are discussed with reference to language learning theories. Pre-selection of target structures, use of controlled repetition, and explicit grammar instruction in a PPP lesson are given. Suggests TBL approaches afford greater learning…
A Program That Acquires Language Using Positive and Negative Feedback.
ERIC Educational Resources Information Center
Brand, James
1987-01-01
Describes the language learning program "Acquire," which is a sample of grammar induction. It is a learning algorithm based on a pattern-matching scheme, using both a positive and negative network to reduce overgeneration. Language learning programs may be useful as tutorials for learning the syntax of a foreign language. (Author/LMO)
Learning about Makerspaces: Professional Development with K-12 Inservice Educators
ERIC Educational Resources Information Center
Peterson, Lana; Scharber, Cassandra
2018-01-01
Makerspaces are the latest educational movement that may disrupt the "grammar of schooling." Makerspaces may change the ways schools use technology; change the ways schools engage in learning and teaching; and change the forms of learning that count in schools. However, without deliberate professional learning and planning, the glamor of…
NASA Astrophysics Data System (ADS)
Wang, Hongcui; Kawahara, Tatsuya
CALL (Computer Assisted Language Learning) systems using ASR (Automatic Speech Recognition) for second language learning have received increasing interest recently. However, it still remains a challenge to achieve high speech recognition performance, including accurate detection of erroneous utterances by non-native speakers. Conventionally, possible error patterns, based on linguistic knowledge, are added to the lexicon and language model, or the ASR grammar network. However, this approach easily falls in the trade-off of coverage of errors and the increase of perplexity. To solve the problem, we propose a method based on a decision tree to learn effective prediction of errors made by non-native speakers. An experimental evaluation with a number of foreign students learning Japanese shows that the proposed method can effectively generate an ASR grammar network, given a target sentence, to achieve both better coverage of errors and smaller perplexity, resulting in significant improvement in ASR accuracy.
Electronic Means of Foreign Language Learning in the System of Higher Education
ERIC Educational Resources Information Center
Frolova, Natalia
2017-01-01
Integration of information communication technologies, enhancing students' motivation and adding to personalized learning, into higher education is challenging but beneficial. It is particularly acute in the field of foreign language learning which requires language competence formation along with knowledge of grammar patterns, vocabulary…
The Relationship between Language Learners' Anxiety and Learning Strategy in the CLT Classrooms
ERIC Educational Resources Information Center
Wu, Kun-huei
2010-01-01
This paper intends to explore how Taiwanese students perceive the relationship between their language learning strategy and anxiety in the foreign language classroom. Due to their previous learning experience, most of the participants hold an unfavorable attitude toward a grammar-translation teaching approach. Consequently, learner-centered…
Learning Non-Adjacent Regularities at Age 0 ; 7
ERIC Educational Resources Information Center
Gervain, Judit; Werker, Janet F.
2013-01-01
One important mechanism suggested to underlie the acquisition of grammar is rule learning. Indeed, infants aged 0 ; 7 are able to learn rules based on simple identity relations (adjacent repetitions, ABB: "wo fe fe" and non-adjacent repetitions, ABA: "wo fe wo", respectively; Marcus et al., 1999). One unexplored issue is…
NASA Astrophysics Data System (ADS)
Brookes, David T.; Etkina, Eugenia
2007-06-01
This paper introduces a theory about the role of language in learning physics. The theory is developed in the context of physics students and physicists talking and writing about the subject of quantum mechanics. We found that physicists’ language encodes different varieties of analogical models through the use of grammar and conceptual metaphor. We hypothesize that students categorize concepts into ontological categories based on the grammatical structure of physicists’ language. We also hypothesize that students overextend and misapply conceptual metaphors in physicists’ speech and writing. Using our theory, we will show how, in some cases, we can explain student difficulties in quantum mechanics as difficulties with language.
ERIC Educational Resources Information Center
Katushemererwe, Fridah; Nerbonne, John
2015-01-01
This study presents the results from a computer-assisted language learning (CALL) system of Runyakitara (RU_CALL). The major objective was to provide an electronic language learning environment that can enable learners with mother tongue deficiencies to enhance their knowledge of grammar and acquire writing skills in Runyakitara. The system…
Effect of Phonetic Association on Learning Vocabulary in Foreign Language
ERIC Educational Resources Information Center
Bozavli, Ebubekir
2017-01-01
Word is one of the most important components of a natural language. Speech is meaningful because of the meanings of words. Vocabulary acquired in one's mother tongue is learned consciously in a foreign language in non-native settings. Learning vocabulary in a system based on grammar is generally neglected or learned in conventional ways. This…
Learning multiple rules simultaneously: Affixes are more salient than reduplications.
Gervain, Judit; Endress, Ansgar D
2017-04-01
Language learners encounter numerous opportunities to learn regularities, but need to decide which of these regularities to learn, because some are not productive in their native language. Here, we present an account of rule learning based on perceptual and memory primitives (Endress, Dehaene-Lambertz, & Mehler, Cognition, 105(3), 577-614, 2007; Endress, Nespor, & Mehler, Trends in Cognitive Sciences, 13(8), 348-353, 2009), suggesting that learners preferentially learn regularities that are more salient to them, and that the pattern of salience reflects the frequency of language features across languages. We contrast this view with previous artificial grammar learning research, which suggests that infants "choose" the regularities they learn based on rational, Bayesian criteria (Frank & Tenenbaum, Cognition, 120(3), 360-371, 2013; Gerken, Cognition, 98(3)B67-B74, 2006, Cognition, 115(2), 362-366, 2010). In our experiments, adult participants listened to syllable strings starting with a syllable reduplication and always ending with the same "affix" syllable, or to syllable strings starting with this "affix" syllable and ending with the "reduplication". Both affixation and reduplication are frequently used for morphological marking across languages. We find three crucial results. First, participants learned both regularities simultaneously. Second, affixation regularities seemed easier to learn than reduplication regularities. Third, regularities in sequence offsets were easier to learn than regularities at sequence onsets. We show that these results are inconsistent with previous Bayesian rule learning models, but mesh well with the perceptual or memory primitives view. Further, we show that the pattern of salience revealed in our experiments reflects the distribution of regularities across languages. Ease of acquisition might thus be one determinant of the frequency of regularities across languages.
Language Acquisition and Machine Learning.
1986-02-01
machine learning and examine its implications for computational models of language acquisition. As a framework for understanding this research, the authors propose four component tasks involved in learning from experience-aggregation, clustering, characterization, and storage. They then consider four common problems studied by machine learning researchers-learning from examples, heuristics learning, conceptual clustering, and learning macro-operators-describing each in terms of our framework. After this, they turn to the problem of grammar
The declarative/procedural model of lexicon and grammar.
Ullman, M T
2001-01-01
Our use of language depends upon two capacities: a mental lexicon of memorized words and a mental grammar of rules that underlie the sequential and hierarchical composition of lexical forms into predictably structured larger words, phrases, and sentences. The declarative/procedural model posits that the lexicon/grammar distinction in language is tied to the distinction between two well-studied brain memory systems. On this view, the memorization and use of at least simple words (those with noncompositional, that is, arbitrary form-meaning pairings) depends upon an associative memory of distributed representations that is subserved by temporal-lobe circuits previously implicated in the learning and use of fact and event knowledge. This "declarative memory" system appears to be specialized for learning arbitrarily related information (i.e., for associative binding). In contrast, the acquisition and use of grammatical rules that underlie symbol manipulation is subserved by frontal/basal-ganglia circuits previously implicated in the implicit (nonconscious) learning and expression of motor and cognitive "skills" and "habits" (e.g., from simple motor acts to skilled game playing). This "procedural" system may be specialized for computing sequences. This novel view of lexicon and grammar offers an alternative to the two main competing theoretical frameworks. It shares the perspective of traditional dual-mechanism theories in positing that the mental lexicon and a symbol-manipulating mental grammar are subserved by distinct computational components that may be linked to distinct brain structures. However, it diverges from these theories where they assume components dedicated to each of the two language capacities (that is, domain-specific) and in their common assumption that lexical memory is a rote list of items. Conversely, while it shares with single-mechanism theories the perspective that the two capacities are subserved by domain-independent computational mechanisms, it diverges from them where they link both capacities to a single associative memory system with broad anatomic distribution. The declarative/procedural model, but neither traditional dual- nor single-mechanism models, predicts double dissociations between lexicon and grammar, with associations among associative memory properties, memorized words and facts, and temporal-lobe structures, and among symbol-manipulation properties, grammatical rule products, motor skills, and frontal/basal-ganglia structures. In order to contrast lexicon and grammar while holding other factors constant, we have focused our investigations of the declarative/procedural model on morphologically complex word forms. Morphological transformations that are (largely) unproductive (e.g., in go-went, solemn-solemnity) are hypothesized to depend upon declarative memory. These have been contrasted with morphological transformations that are fully productive (e.g., in walk-walked, happy-happiness), whose computation is posited to be solely dependent upon grammatical rules subserved by the procedural system. Here evidence is presented from studies that use a range of psycholinguistic and neurolinguistic approaches with children and adults. It is argued that converging evidence from these studies supports the declarative/procedural model of lexicon and grammar.
Shimp, Charles P
2004-06-30
Research on categorization has changed over time, and some of these changes resemble how Wittgenstein's views changed from his Tractatus Logico-Philosophicus to his Philosophical Investigations. Wittgenstein initially focused on unambiguous, abstract, parsimonious, logical propositions and rules, and on independent, static, "atomic facts." This approach subsequently influenced the development of logical positivism and thereby may have indirectly influenced method and theory in research on categorization: much animal research on categorization has focused on learning simple, static, logical rules unambiguously interrelating small numbers of independent features. He later rejected logical simplicity and rigor and focused instead on Gestalt ideas about figure-ground reversals and context, the ambiguity of family resemblance, and the function of details of everyday language. Contemporary contextualism has been influenced by this latter position, some features of which appear in contemporary empirical research on categorization. These developmental changes are illustrated by research on avian local and global levels of visual perceptual analysis, categorization of rectangles and moving objects, and artificial grammar learning. Implications are described for peer review of quantitative theory in which ambiguity, logical rigor, simplicity, or dynamics are designed to play important roles.
A Grammar-Based Semantic Similarity Algorithm for Natural Language Sentences
Chang, Jia Wei; Hsieh, Tung Cheng
2014-01-01
This paper presents a grammar and semantic corpus based similarity algorithm for natural language sentences. Natural language, in opposition to “artificial language”, such as computer programming languages, is the language used by the general public for daily communication. Traditional information retrieval approaches, such as vector models, LSA, HAL, or even the ontology-based approaches that extend to include concept similarity comparison instead of cooccurrence terms/words, may not always determine the perfect matching while there is no obvious relation or concept overlap between two natural language sentences. This paper proposes a sentence similarity algorithm that takes advantage of corpus-based ontology and grammatical rules to overcome the addressed problems. Experiments on two famous benchmarks demonstrate that the proposed algorithm has a significant performance improvement in sentences/short-texts with arbitrary syntax and structure. PMID:24982952
Language-Mediated Concept Learning.
ERIC Educational Resources Information Center
Follettie, Joseph F.
The conditions whereby a concept might be learned on the basis of a language mediation process prior to the inductive learning of subordinate concepts are sketched. The view is expressed that grammar treatments which are apt to primary education should be defined on the basis of a pedagogy's needs for linguistic characterizations of concepts to be…
Explicit Instruction, Bilingualism, and the Older Adult Learner
ERIC Educational Resources Information Center
Cox, Jessica G.
2017-01-01
Little is known about older adult language learners and effects of aging on L2 learning. This study investigated learning in older age through interactions of learner-internal and -external variables; specifically, late-learned L2 (bilingualism) and provision of grammar explanation (explicit instruction, EI). Forty-three older adults (age 60+) who…
Personality Traits and Learning Styles of Secondary School Students in Serbia
ERIC Educational Resources Information Center
Djigic, Gordana; Stojiljkovic, Snežana; Markovic, Andrijana
2016-01-01
This paper is concerned with the personality dimensions and learning styles of secondary school students, attending grammar and technical vocational school. The aim of the study is to examine differences in personality traits and learning styles between students from these types of schools, as well as to determine the predictive power of…
Teachers' Technology Use in Vocabulary Teaching
ERIC Educational Resources Information Center
Kilickaya, Ferit; Krajka, Jaroslaw
2010-01-01
It cannot be denied that vocabulary learning is central to learning a language, be it a mother tongue or the second/foreign language. According to Nunan (1991), learning vocabulary in the very early stages is more fundamental than grammar, since without vocabulary one would not be able to use the structures and functions for effective…
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Burling, Robbins
Aspects of second language learning and instruction are explored in order to develop a rationale for a comprehension-based approach to language instruction. Eight characteristic pedagogical assumptions are critically examined, including assumptions regarding the role of grammar, age differences in learning ability, the priority given to each of…
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Van de Guchte, Marrit; Braaksma, Martine; Rijlaarsdam, Gert; Bimmel, Peter
2015-01-01
In the present study, we examine the effects of prompts and recasts on the acquisition of two new and different grammar structures in a task-based learning environment. Sixty-four 14-year-old 9th grade students (low intermediate) learning German as a foreign language were randomly assigned to three conditions: two experimental groups (one…
ERIC Educational Resources Information Center
Torrey, Jane W.
An experiment in language behavior comparing two methods of learning grammatical word order in a new language presents scientific evidence supporting the use of pattern drills in foreign language teaching. The experiment reviews the performance of three groups attempting to learn small segments of Russian "microlanguage": (1) a drill group learned…
Personalized Online Learning Labs and Face-To-Face Teaching in First-Year College English Courses
ERIC Educational Resources Information Center
Sizemore, Mary L.
2017-01-01
The purpose of this two-phase, explanatory mixed methods study was to understand the benefits of teaching grammar from three different learning methods: face-to-face, online personalized learning lab and a blended learning method. The study obtained quantitative results from a pre and post-tests, a general survey and writing assignment rubrics…
A stochastic context free grammar based framework for analysis of protein sequences
Dyrka, Witold; Nebel, Jean-Christophe
2009-01-01
Background In the last decade, there have been many applications of formal language theory in bioinformatics such as RNA structure prediction and detection of patterns in DNA. However, in the field of proteomics, the size of the protein alphabet and the complexity of relationship between amino acids have mainly limited the application of formal language theory to the production of grammars whose expressive power is not higher than stochastic regular grammars. However, these grammars, like other state of the art methods, cannot cover any higher-order dependencies such as nested and crossing relationships that are common in proteins. In order to overcome some of these limitations, we propose a Stochastic Context Free Grammar based framework for the analysis of protein sequences where grammars are induced using a genetic algorithm. Results This framework was implemented in a system aiming at the production of binding site descriptors. These descriptors not only allow detection of protein regions that are involved in these sites, but also provide insight in their structure. Grammars were induced using quantitative properties of amino acids to deal with the size of the protein alphabet. Moreover, we imposed some structural constraints on grammars to reduce the extent of the rule search space. Finally, grammars based on different properties were combined to convey as much information as possible. Evaluation was performed on sites of various sizes and complexity described either by PROSITE patterns, domain profiles or a set of patterns. Results show the produced binding site descriptors are human-readable and, hence, highlight biologically meaningful features. Moreover, they achieve good accuracy in both annotation and detection. In addition, findings suggest that, unlike current state-of-the-art methods, our system may be particularly suited to deal with patterns shared by non-homologous proteins. Conclusion A new Stochastic Context Free Grammar based framework has been introduced allowing the production of binding site descriptors for analysis of protein sequences. Experiments have shown that not only is this new approach valid, but produces human-readable descriptors for binding sites which have been beyond the capability of current machine learning techniques. PMID:19814800
Developmental dissociation between the maturation of procedural memory and declarative memory.
Finn, Amy S; Kalra, Priya B; Goetz, Calvin; Leonard, Julia A; Sheridan, Margaret A; Gabrieli, John D E
2016-02-01
Declarative memory and procedural memory are known to be two fundamentally different kinds of memory that are dissociable in their psychological characteristics and measurement (explicit vs. implicit) and in the neural systems that subserve each kind of memory. Declarative memory abilities are known to improve from childhood through young adulthood, but the developmental maturation of procedural memory is largely unknown. We compared 10-year-old children and young adults on measures of declarative memory and working memory capacity and on four measures of procedural memory that have been strongly dissociated from declarative memory (mirror tracing, rotary pursuit, probabilistic classification, and artificial grammar). Children had lesser declarative memory ability and lesser working memory capacity than adults, but children exhibited learning equivalent to adults on all four measures of procedural memory. Therefore, declarative memory and procedural memory are developmentally dissociable, with procedural memory being adult-like by age 10years and declarative memory continuing to mature into young adulthood. Copyright © 2015 Elsevier Inc. All rights reserved.
The speed of metacognition: taking time to get to know one's structural knowledge.
Mealor, Andy D; Dienes, Zoltan
2013-03-01
The time course of different metacognitive experiences of knowledge was investigated using artificial grammar learning. Experiment 1 revealed that when participants are aware of the basis of their judgments (conscious structural knowledge) decisions are made most rapidly, followed by decisions made with conscious judgment but without conscious knowledge of underlying structure (unconscious structural knowledge), and guess responses (unconscious judgment knowledge) were made most slowly, even when controlling for differences in confidence and accuracy. In experiment 2, short response deadlines decreased the accuracy of unconscious but not conscious structural knowledge. Conversely, the deadline decreased the proportion of conscious structural knowledge in favour of guessing. Unconscious structural knowledge can be applied rapidly but becomes more reliable with additional metacognitive processing time whereas conscious structural knowledge is an all-or-nothing response that cannot always be applied rapidly. These dissociations corroborate quite separate theories of recognition (dual-process) and metacognition (higher order thought and cross-order integration). Copyright © 2012 Elsevier Inc. All rights reserved.
Humans Rapidly Learn Grammatical Structure in a New Musical Scale
Loui, Psyche; Wessel, David L.; Hudson Kam, Carla L.
2010-01-01
Knowledge of musical rules and structures has been reliably demonstrated in humans of different ages, cultures, and levels of music training, and has been linked to our musical preferences. However, how humans acquire knowledge of and develop preferences for music remains unknown. The present study shows that humans rapidly develop knowledge and preferences when given limited exposure to a new musical system. Using a non-traditional, unfamiliar musical scale (Bohlen-Pierce scale), we created finite-state musical grammars from which we composed sets of melodies. After 25–30 min of passive exposure to the melodies, participants showed extensive learning as characterized by recognition, generalization, and sensitivity to the event frequencies in their given grammar, as well as increased preference for repeated melodies in the new musical system. Results provide evidence that a domain-general statistical learning mechanism may account for much of the human appreciation for music. PMID:20740059
Humans Rapidly Learn Grammatical Structure in a New Musical Scale.
Loui, Psyche; Wessel, David L; Hudson Kam, Carla L
2010-06-01
Knowledge of musical rules and structures has been reliably demonstrated in humans of different ages, cultures, and levels of music training, and has been linked to our musical preferences. However, how humans acquire knowledge of and develop preferences for music remains unknown. The present study shows that humans rapidly develop knowledge and preferences when given limited exposure to a new musical system. Using a non-traditional, unfamiliar musical scale (Bohlen-Pierce scale), we created finite-state musical grammars from which we composed sets of melodies. After 25-30 min of passive exposure to the melodies, participants showed extensive learning as characterized by recognition, generalization, and sensitivity to the event frequencies in their given grammar, as well as increased preference for repeated melodies in the new musical system. Results provide evidence that a domain-general statistical learning mechanism may account for much of the human appreciation for music.
What's special about human language? The contents of the "narrow language faculty" revisited.
Traxler, Matthew J; Boudewyn, Megan; Loudermilk, Jessica
2012-10-01
In this review we re-evaluate the recursion-only hypothesis, advocated by Fitch, Hauser and Chomsky (Hauser, Chomsky & Fitch, 2002; Fitch, Hauser & Chomsky, 2005). According to the recursion-only hypothesis, the property that distinguishes human language from animal communication systems is recursion, which refers to the potentially infinite embedding of one linguistic representation within another of the same type. This hypothesis predicts (1) that non-human primates and other animals lack the ability to learn recursive grammar, and (2) that recursive grammar is the sole cognitive mechanism that is unique to human language. We first review animal studies of recursive grammar, before turning to the claim that recursion is a property of all human languages. Finally, we discuss other views on what abilities may be unique to human language.
The Effect of Type of Podcasts and Learning Styles on Language Proficiency and Confidence
ERIC Educational Resources Information Center
Kelly, Wei Qiang; Klein, James D.
2016-01-01
This study examined the effect of type of podcasts and learning styles on speaking, listening, and confidence when college used podcasts for learning Chinese. It focused on college students enrolled in a beginning-level Chinese course at a large university in the southeastern United States. Findings indicated that listening to grammar podcasts…
ERIC Educational Resources Information Center
Kolodny, Oren; Lotem, Arnon; Edelman, Shimon
2015-01-01
We introduce a set of biologically and computationally motivated design choices for modeling the learning of language, or of other types of sequential, hierarchically structured experience and behavior, and describe an implemented system that conforms to these choices and is capable of unsupervised learning from raw natural-language corpora. Given…
Leading and Learning as a Transcultural Experience: A Visual Account
ERIC Educational Resources Information Center
Schratz, Michael
2009-01-01
Leaving one's own territory in research by taking part in an international project is like learning a new language: it's not just learning a new vocabulary and grammar, but is a total human experience which is best learnt in everyday activity. Social scientists like Jean Lave argued that "knowledge-in-practice, constituted in the settings of…
MALL with WordBricks--Building Correct Sentences Brick by Brick
ERIC Educational Resources Information Center
Purgina, Marina; Mozgovoy, Maxim; Ward, Monica
2017-01-01
Mobile-Assisted Language Learning (MALL) use is increasing and it is good to be able to provide language learners with new resources to enhance their language learning experience. One such resource is WordBricks, a non-commercial, educational app that facilitates the learning and reinforcement of grammar rules. It uses bricks and connectors of…
Learning English: Experiences and Needs of Saudi Engineering Students
ERIC Educational Resources Information Center
Unruh, Susan; Obeidat, Fayiz
2015-01-01
In this qualitative study, Saudi engineering students talk openly of their experiences learning English in the Kingdom of Saudi Arabia (KSA) and as university students in the United States (US). These students reported that they learned only the basics of vocabulary and grammar in KSA. Consequently, they came to the US with few English skills. In…
Foreign Language Teaching and Learning in the Netherlands 1500-2000: An Overview
ERIC Educational Resources Information Center
Wilhelm, Frans
2018-01-01
The Netherlands are quite unique in that the Dutch have always learned various foreign languages. Until 1940, French was the most important foreign language. Between roughly 1870 and 1970, Dutch learners in grammar schools and higher secondary schools were even obliged to learn three foreign languages: French, German and English. Since 1970,…
ERIC Educational Resources Information Center
Quann, Steve; Satin, Diana
This textbook leads high-beginning and intermediate English-as-a-Second-Language (ESL) students through cooperative computer-based activities that combine language learning with training in basic computer skills and word processing. Each unit concentrates on a basic concept of word processing while also focusing on a grammar topic. Skills are…
ERIC Educational Resources Information Center
Bellugi, Ursula
1970-01-01
Discusses a study of the grammar and syntax development in the speech of three children; adapted from the forthcoming book, Developmental Psychology Today" (CRM Books, Communications Research Machines, Inc., 1971). (Editor/SW)
Processing multiple non-adjacent dependencies: evidence from sequence learning
de Vries, Meinou H.; Petersson, Karl Magnus; Geukes, Sebastian; Zwitserlood, Pienie; Christiansen, Morten H.
2012-01-01
Processing non-adjacent dependencies is considered to be one of the hallmarks of human language. Assuming that sequence-learning tasks provide a useful way to tap natural-language-processing mechanisms, we cross-modally combined serial reaction time and artificial-grammar learning paradigms to investigate the processing of multiple nested (A1A2A3B3B2B1) and crossed dependencies (A1A2A3B1B2B3), containing either three or two dependencies. Both reaction times and prediction errors highlighted problems with processing the middle dependency in nested structures (A1A2A3B3_B1), reminiscent of the ‘missing-verb effect’ observed in English and French, but not with crossed structures (A1A2A3B1_B3). Prior linguistic experience did not play a major role: native speakers of German and Dutch—which permit nested and crossed dependencies, respectively—showed a similar pattern of results for sequences with three dependencies. As for sequences with two dependencies, reaction times and prediction errors were similar for both nested and crossed dependencies. The results suggest that constraints on the processing of multiple non-adjacent dependencies are determined by the specific ordering of the non-adjacent dependencies (i.e. nested or crossed), as well as the number of non-adjacent dependencies to be resolved (i.e. two or three). Furthermore, these constraints may not be specific to language but instead derive from limitations on structured sequence learning. PMID:22688641
Adjective Identification in Television Advertisements
ERIC Educational Resources Information Center
Abd Rahim, Normaliza
2013-01-01
Learning the Malay language has been a challenging task for foreign language learners. Learners have to learn Malay grammar structure rules in order to write simple sentences. The word choice is important in constructing a sentence. Therefore, the study focuses on the use of adjectives in television advertisements among Korean learners at Hankuk…
ERIC Educational Resources Information Center
Jarosz, Gaja
2010-01-01
This study examines the interacting roles of implicational markedness and frequency from the joint perspectives of formal linguistic theory, phonological acquisition and computational modeling. The hypothesis that child grammars are rankings of universal constraints, as in Optimality Theory (Prince & Smolensky, 1993/2004), that learning involves a…
ERIC Educational Resources Information Center
Zentz, Lauren
2015-01-01
This article employs the term "communicative repertoire" in order to highlight that when one learns any new "language", one introduces new communicative resources into a unified communicative repertoire. As repertoires represent such singular "grammars" in individuals' minds, learned communicative resources can…
Technologies in Use for Second Language Learning
ERIC Educational Resources Information Center
Levy, Mike
2009-01-01
This article describes the technologies in use for second language learning, in relation to the major language areas and skills. In order, these are grammar, vocabulary, reading, writing, pronunciation, listening, speaking, and culture. With each language area or skill, the relevant technologies are discussed with examples that illustrate how…
The minimalist grammar of action
Pastra, Katerina; Aloimonos, Yiannis
2012-01-01
Language and action have been found to share a common neural basis and in particular a common ‘syntax’, an analogous hierarchical and compositional organization. While language structure analysis has led to the formulation of different grammatical formalisms and associated discriminative or generative computational models, the structure of action is still elusive and so are the related computational models. However, structuring action has important implications on action learning and generalization, in both human cognition research and computation. In this study, we present a biologically inspired generative grammar of action, which employs the structure-building operations and principles of Chomsky's Minimalist Programme as a reference model. In this grammar, action terminals combine hierarchically into temporal sequences of actions of increasing complexity; the actions are bound with the involved tools and affected objects and are governed by certain goals. We show, how the tool role and the affected-object role of an entity within an action drives the derivation of the action syntax in this grammar and controls recursion, merge and move, the latter being mechanisms that manifest themselves not only in human language, but in human action too. PMID:22106430
ERIC Educational Resources Information Center
Becerra, Luz María; McNulty, Maria
2010-01-01
This action research examines experiences that students in a grade 10 EFL class had with redesigning a grammar-unit into a topic-based unit. Strategies were formulating significant learning goals and objectives, and implementing and reflecting on activities with three dimensions of Dee Fink's (2003) taxonomy of significant learning: the human…
Oral Braille Reading Decoding Strategies of Middle School Students Who Are Blind or Have Low Vision
ERIC Educational Resources Information Center
Nannemann, Allison C.; Bruce, Susan M.; Hussey, Colleen; Vercollone, Becky S.; McCarthy, Mary
2017-01-01
Students who are visually impaired may face unique literacy challenges as they learn to read and write braille. One such challenge relates to slower reading speeds for students who read braille as compared to those who read print. In addition to learning letters, sounds, grammar, and spelling, braille readers must learn contractions and…
Predicting Student Grades in Learning Management Systems with Multiple Instance Genetic Programming
ERIC Educational Resources Information Center
Zafra, Amelia; Ventura, Sebastian
2009-01-01
The ability to predict a student's performance could be useful in a great number of different ways associated with university-level learning. In this paper, a grammar guided genetic programming algorithm, G3P-MI, has been applied to predict if the student will fail or pass a certain course and identifies activities to promote learning in a…
What's special about human language? The contents of the "narrow language faculty" revisited
Traxler, Matthew J.; Boudewyn, Megan; Loudermilk, Jessica
2012-01-01
In this review we re-evaluate the recursion-only hypothesis, advocated by Fitch, Hauser and Chomsky (Hauser, Chomsky & Fitch, 2002; Fitch, Hauser & Chomsky, 2005). According to the recursion-only hypothesis, the property that distinguishes human language from animal communication systems is recursion, which refers to the potentially infinite embedding of one linguistic representation within another of the same type. This hypothesis predicts (1) that non-human primates and other animals lack the ability to learn recursive grammar, and (2) that recursive grammar is the sole cognitive mechanism that is unique to human language. We first review animal studies of recursive grammar, before turning to the claim that recursion is a property of all human languages. Finally, we discuss other views on what abilities may be unique to human language. PMID:23105948
2017-01-01
Statistical learning has been studied in a variety of different tasks, including word segmentation, object identification, category learning, artificial grammar learning and serial reaction time tasks (e.g. Saffran et al. 1996 Science 274, 1926–1928; Orban et al. 2008 Proceedings of the National Academy of Sciences 105, 2745–2750; Thiessen & Yee 2010 Child Development 81, 1287–1303; Saffran 2002 Journal of Memory and Language 47, 172–196; Misyak & Christiansen 2012 Language Learning 62, 302–331). The difference among these tasks raises questions about whether they all depend on the same kinds of underlying processes and computations, or whether they are tapping into different underlying mechanisms. Prior theoretical approaches to statistical learning have often tried to explain or model learning in a single task. However, in many cases these approaches appear inadequate to explain performance in multiple tasks. For example, explaining word segmentation via the computation of sequential statistics (such as transitional probability) provides little insight into the nature of sensitivity to regularities among simultaneously presented features. In this article, we will present a formal computational approach that we believe is a good candidate to provide a unifying framework to explore and explain learning in a wide variety of statistical learning tasks. This framework suggests that statistical learning arises from a set of processes that are inherent in memory systems, including activation, interference, integration of information and forgetting (e.g. Perruchet & Vinter 1998 Journal of Memory and Language 39, 246–263; Thiessen et al. 2013 Psychological Bulletin 139, 792–814). From this perspective, statistical learning does not involve explicit computation of statistics, but rather the extraction of elements of the input into memory traces, and subsequent integration across those memory traces that emphasize consistent information (Thiessen and Pavlik 2013 Cognitive Science 37, 310–343). This article is part of the themed issue ‘New frontiers for statistical learning in the cognitive sciences'. PMID:27872374
Thiessen, Erik D
2017-01-05
Statistical learning has been studied in a variety of different tasks, including word segmentation, object identification, category learning, artificial grammar learning and serial reaction time tasks (e.g. Saffran et al. 1996 Science 274: , 1926-1928; Orban et al. 2008 Proceedings of the National Academy of Sciences 105: , 2745-2750; Thiessen & Yee 2010 Child Development 81: , 1287-1303; Saffran 2002 Journal of Memory and Language 47: , 172-196; Misyak & Christiansen 2012 Language Learning 62: , 302-331). The difference among these tasks raises questions about whether they all depend on the same kinds of underlying processes and computations, or whether they are tapping into different underlying mechanisms. Prior theoretical approaches to statistical learning have often tried to explain or model learning in a single task. However, in many cases these approaches appear inadequate to explain performance in multiple tasks. For example, explaining word segmentation via the computation of sequential statistics (such as transitional probability) provides little insight into the nature of sensitivity to regularities among simultaneously presented features. In this article, we will present a formal computational approach that we believe is a good candidate to provide a unifying framework to explore and explain learning in a wide variety of statistical learning tasks. This framework suggests that statistical learning arises from a set of processes that are inherent in memory systems, including activation, interference, integration of information and forgetting (e.g. Perruchet & Vinter 1998 Journal of Memory and Language 39: , 246-263; Thiessen et al. 2013 Psychological Bulletin 139: , 792-814). From this perspective, statistical learning does not involve explicit computation of statistics, but rather the extraction of elements of the input into memory traces, and subsequent integration across those memory traces that emphasize consistent information (Thiessen and Pavlik 2013 Cognitive Science 37: , 310-343).This article is part of the themed issue 'New frontiers for statistical learning in the cognitive sciences'. © 2016 The Author(s).
Second Language Processing Shows Increased Native-Like Neural Responses after Months of No Exposure
Morgan-Short, Kara; Finger, Ingrid; Grey, Sarah; Ullman, Michael T.
2012-01-01
Although learning a second language (L2) as an adult is notoriously difficult, research has shown that adults can indeed attain native language-like brain processing and high proficiency levels. However, it is important to then retain what has been attained, even in the absence of continued exposure to the L2—particularly since periods of minimal or no L2 exposure are common. This event-related potential (ERP) study of an artificial language tested performance and neural processing following a substantial period of no exposure. Adults learned to speak and comprehend the artificial language to high proficiency with either explicit, classroom-like, or implicit, immersion-like training, and then underwent several months of no exposure to the language. Surprisingly, proficiency did not decrease during this delay. Instead, it remained unchanged, and there was an increase in native-like neural processing of syntax, as evidenced by several ERP changes—including earlier, more reliable, and more left-lateralized anterior negativities, and more robust P600s, in response to word-order violations. Moreover, both the explicitly and implicitly trained groups showed increased native-like ERP patterns over the delay, indicating that such changes can hold independently of L2 training type. The results demonstrate that substantial periods with no L2 exposure are not necessarily detrimental. Rather, benefits may ensue from such periods of time even when there is no L2 exposure. Interestingly, both before and after the delay the implicitly trained group showed more native-like processing than the explicitly trained group, indicating that type of training also affects the attainment of native-like processing in the brain. Overall, the findings may be largely explained by a combination of forgetting and consolidation in declarative and procedural memory, on which L2 grammar learning appears to depend. The study has a range of implications, and suggests a research program with potentially important consequences for second language acquisition and related fields. PMID:22470434
Sustainability in CALL Learning Environments: A Systemic Functional Grammar Approach
ERIC Educational Resources Information Center
McDonald, Peter
2014-01-01
This research aims to define a sustainable resource in Computer-Assisted Language Learning (CALL). In order for a CALL resource to be sustainable it must work within existing educational curricula. This feature is a necessary prerequisite of sustainability because, despite the potential for educational change that digitalization has offered since…
The Effectiveness of Extensive versus Intensive Recasts for Learning L2 Grammar
ERIC Educational Resources Information Center
Nassaji, Hossein
2017-01-01
This study investigated the effects of extensive versus intensive recasts. The focus was on the effect of feedback on learning English articles, which, as nonsalient target structures, have been shown to be difficult for many second language learners. Intensive recasts were operationalized as recasts provided on article errors only, while…
Students' Metacognitive Awareness and Physics Learning Efficiency and Correlation between Them
ERIC Educational Resources Information Center
Bogdanovic, Ivana; Obadovic, Dušanka Ž.; Cvjeticanin, Stanko; Segedinac, Mirjana; Budic, Spomenka
2015-01-01
This paper presents a research directed to examine the relation between students' metacognitive awareness and physics learning efficiency. Questionnaire of metacognitive awareness and physics knowledge test were applied on the sample of 746 subjects of both sexes, first graders of Grammar Schools in Novi Sad, Republic of Serbia. Obtained results…
Morphosyntactic Learning and the Development of Tense
ERIC Educational Resources Information Center
Legate, Julie Anne; Yang, Charles
2007-01-01
In this article, we propose that the Root Infinitive (RI) phenomenon in child language is best viewed and explained as the interaction between morphological learning and syntactic development. We make the following specific suggestions: The optionality in RI reflects the presence of a grammar such as Chinese which does not manifest tense marking.…
Freeing the Creative Writer: An Introductory Lesson.
ERIC Educational Resources Information Center
Ehrle, Lisa
1990-01-01
Describes an introductory creative writing lesson in which students gave low grades to passages they later learned were written by William Faulkner and Ernest Hemingway. Reports that the students graded mainly on mechanics and grammar (and very little on content). Notes that students began to learn to manipulate the various aspects of writing. (RS)
A New Creative Learning Centre at a Girls School in Australia
ERIC Educational Resources Information Center
Bell, Amanda
2007-01-01
Brisbane Girls Grammar School's new Creative Learning Centre was conceived to group arts studies which were previously scattered across the campus and to serve all students as a meeting place and technology hub. The building is specifically designed to provide the most flexible and innovative environment for teenaged girls, having special regard…
Beliefs on Learning and Teaching Language Components: The Case of Iranian EAP and EFL Learners
ERIC Educational Resources Information Center
Parsi, Gholamreza
2017-01-01
The present study intended to investigate the possible difference between EAP and EFL learners' beliefs concerning learning and teaching of language components, namely, vocabulary, pronunciation and grammar. Furthermore, this study examined the association between EAP and EFL learners' beliefs and their language components' development. To this…
Impact of Using CALL on Iranian EFL Learners' Vocabulary Knowledge
ERIC Educational Resources Information Center
Yunus, Melor Md; Salehi, Hadi; Amini, Mahdi
2016-01-01
Computer Assisted Language Learning (CALL) integration in EFL contexts has intensified noticeably in recent years. This integration might be in different ways and for different purposes such as vocabulary acquisition, grammar learning, phonology, writing skills, etc. More explicitly, this study is an attempt to explore the effect of using CALL on…
The Liberal Arts College and Humanist Learning
ERIC Educational Resources Information Center
Arcilla, René V.
2014-01-01
What is liberal education? How do its aims differ from those of either grammar or vocational education? Does it truly deserve its own supporting institution? In response to these questions, Arcilla develops a defense of the liberal arts college. He observes that all projects of formal learning presuppose that the learner possesses answers to three…
Kahoot It or Not? Can Games Be Motivating in Learning Grammar?
ERIC Educational Resources Information Center
Zarzycka-Piskorz, Ewa
2016-01-01
Gamification is not a very new concept. It is the use of game elements and game design techniques in a non-game context. It is used in various contexts for various purposes. There is strong evidence that shows the relationship between game playing and increased motivation. More and more learning games emerge and bring a promise to help to learn a…
ERIC Educational Resources Information Center
Pearl, Lisa; Sprouse, Jon
2013-01-01
The induction problems facing language learners have played a central role in debates about the types of learning biases that exist in the human brain. Many linguists have argued that some of the learning biases necessary to solve these language induction problems must be both innate and language-specific (i.e., the Universal Grammar (UG)…
ERIC Educational Resources Information Center
Barabadi, Elyas; Khajavi, Yaser
2017-01-01
Corpus-based data-driven learning (DDL) is an innovation in teaching and learning new vocabulary for EFL students. Using teacher-prepared materials obtained from COCA corpus, the goal of the present study is to compare DDL and traditional methods of teaching vocabulary like consultation of dictionary or a grammar book. As such, two intact classes…
Early neurophysiological indices of second language morphosyntax learning
Hanna, Jeff; Shtyrov, Yury; Williams, John; Pulvermüller, Friedemann
2016-01-01
Humans show variable degrees of success in acquiring a second language (L2). In many cases, morphological and syntactic knowledge remain deficient, although some learners succeed in reaching nativelike levels, even if they begin acquiring their L2 relatively late. In this study, we use psycholinguistic, online language proficiency tests and a neurophysiological index of syntactic processing, the syntactic mismatch negativity (sMMN) to local agreement violations, to compare behavioural and neurophysiological markers of grammar processing between native speakers (NS) of English and non-native speakers (NNS). Variable grammar proficiency was measured by psycholinguistic tests. When NS heard ungrammatical word sequences lacking agreement between subject and verb (e.g. *we kicks), the MMN was enhanced compared with syntactically legal sentences (e.g. he kicks). More proficient NNS also showed this difference, but less proficient NNS did not. The main cortical sources of the MMN responses were localised in bilateral superior temporal areas, where, crucially, source strength of grammar-related neuronal activity correlated significantly with grammatical proficiency of individual L2 speakers as revealed by the psycholinguistic tests. As our results show similar, early MMN indices to morpho-syntactic agreement violations among both native speakers and non-native speakers with high grammar proficiency, they appear consistent with the use of similar brain mechanisms for at least certain aspects of L1 and L2 grammars. PMID:26752451
Early neurophysiological indices of second language morphosyntax learning.
Hanna, Jeff; Shtyrov, Yury; Williams, John; Pulvermüller, Friedemann
2016-02-01
Humans show variable degrees of success in acquiring a second language (L2). In many cases, morphological and syntactic knowledge remain deficient, although some learners succeed in reaching nativelike levels, even if they begin acquiring their L2 relatively late. In this study, we use psycholinguistic, online language proficiency tests and a neurophysiological index of syntactic processing, the syntactic mismatch negativity (sMMN) to local agreement violations, to compare behavioural and neurophysiological markers of grammar processing between native speakers (NS) of English and non-native speakers (NNS). Variable grammar proficiency was measured by psycholinguistic tests. When NS heard ungrammatical word sequences lacking agreement between subject and verb (e.g. *we kicks), the MMN was enhanced compared with syntactically legal sentences (e.g. he kicks). More proficient NNS also showed this difference, but less proficient NNS did not. The main cortical sources of the MMN responses were localised in bilateral superior temporal areas, where, crucially, source strength of grammar-related neuronal activity correlated significantly with grammatical proficiency of individual L2 speakers as revealed by the psycholinguistic tests. As our results show similar, early MMN indices to morpho-syntactic agreement violations among both native speakers and non-native speakers with high grammar proficiency, they appear consistent with the use of similar brain mechanisms for at least certain aspects of L1 and L2 grammars. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.
Recognition of Equations Using a Two-Dimensional Stochastic Context-Free Grammar
NASA Astrophysics Data System (ADS)
Chou, Philip A.
1989-11-01
We propose using two-dimensional stochastic context-free grammars for image recognition, in a manner analogous to using hidden Markov models for speech recognition. The value of the approach is demonstrated in a system that recognizes printed, noisy equations. The system uses a two-dimensional probabilistic version of the Cocke-Younger-Kasami parsing algorithm to find the most likely parse of the observed image, and then traverses the corresponding parse tree in accordance with translation formats associated with each production rule, to produce eqn I troff commands for the imaged equation. In addition, it uses two-dimensional versions of the Inside/Outside and Baum re-estimation algorithms for learning the parameters of the grammar from a training set of examples. Parsing the image of a simple noisy equation currently takes about one second of cpu time on an Alliant FX/80.
An empirical generative framework for computational modeling of language acquisition.
Waterfall, Heidi R; Sandbank, Ben; Onnis, Luca; Edelman, Shimon
2010-06-01
This paper reports progress in developing a computer model of language acquisition in the form of (1) a generative grammar that is (2) algorithmically learnable from realistic corpus data, (3) viable in its large-scale quantitative performance and (4) psychologically real. First, we describe new algorithmic methods for unsupervised learning of generative grammars from raw CHILDES data and give an account of the generative performance of the acquired grammars. Next, we summarize findings from recent longitudinal and experimental work that suggests how certain statistically prominent structural properties of child-directed speech may facilitate language acquisition. We then present a series of new analyses of CHILDES data indicating that the desired properties are indeed present in realistic child-directed speech corpora. Finally, we suggest how our computational results, behavioral findings, and corpus-based insights can be integrated into a next-generation model aimed at meeting the four requirements of our modeling framework.
Batterink, Laura; Neville, Helen
2013-06-01
In contrast to native language acquisition, adult second-language (L2) acquisition occurs under highly variable learning conditions. Although most adults acquire their L2 at least partially through explicit instruction, as in a classroom setting, many others acquire their L2 primarily through implicit exposure, as is typical of an immersion environment. Whether these differences in acquisition environment play a role in determining the neural mechanisms that are ultimately recruited to process L2 grammar has not been well characterized. This study investigated this issue by comparing the ERP response to novel L2 syntactic rules acquired under conditions of implicit exposure and explicit instruction, using a novel laboratory language-learning paradigm. Native speakers tested on these stimuli showed a biphasic response to syntactic violations, consisting of an earlier negativity followed by a later P600 effect. After merely an hour of training, both implicitly and explicitly trained learners who were capable of detecting grammatical violations also elicited P600 effects. In contrast, learners who were unable to discriminate between grammatically correct and incorrect sentences did not show significant P600 effects. The magnitude of the P600 effect was found to correlate with learners' behavioral proficiency. Behavioral measures revealed that successful learners from both the implicit and explicit groups gained explicit, verbalizable knowledge about the L2 grammar rules. Taken together, these results indicate that late, controlled mechanisms indexed by the P600 play a crucial role in processing a late-learned L2 grammar, regardless of training condition. These findings underscore the remarkable plasticity of later, attention-dependent processes and their importance in lifelong learning.
ERIC Educational Resources Information Center
Lee, Hyewon
2012-01-01
In recent years, L2 researchers from the sociocultural and cognitive linguistic perspectives have emphasized the importance of properly organized explicit and in-depth grammar instruction for second or foreign language learning. Such instruction is believed to lead learners to systematic understanding of the target features faster and more…
ERIC Educational Resources Information Center
Roy, Debopriyo
2014-01-01
Besides focusing on grammar, writing skills, and web-based language learning, researchers in "CALL" and second language acquisition have also argued for the importance of promoting higher-order thinking skills in ESL (English as Second Language) and EFL (English as Foreign Language) classrooms. There is solid evidence supporting the…
ERIC Educational Resources Information Center
Gursoy, Esim; Saglam, Gulderen T.
2011-01-01
With the change of focus in language teaching from grammar-based approaches to more communicative approaches, contextual language learning gained importance and found body in the English Language classroom. Global issues constitute one of the most popular contexts for purposeful language learning and meaningful language use. Increasing number of…
The Use of Metalanguage among Second Language Learners to Mediate L2 Grammar Learning
ERIC Educational Resources Information Center
Harun, Haliza; Abdullah, Norhana; Wahab, Nur Syuhada' Ab.; Zainuddin, Nurkhamimi
2017-01-01
Purpose: This study investigated the use of metalanguage as a mediational tool in understanding targeted grammatical concepts from the perspective of the Sociocultural approach (SCT) in learning a second language (L2). Methodology: The participants involved in this study were Malay undergraduates with low to intermediate proficiency in L2 English.…
Bring Your Own Device to Language Class--Applying Handheld Devices in Classroom Learning
ERIC Educational Resources Information Center
Talmo, Tord; Einum, Even; Støckert, Robin
2014-01-01
Language students often struggle to understand the logic in foreign language grammar, reducing their ability to reproduce and create texts on their own. There are several reasons for this; everything from the methodology to lack of motivation might influence the situation. Since the 1980's, Computer Assisted Language Learning (CALL) has become one…
Above and beyond the Syllabus: Transformation in an Adult, Foreign Language Classroom
ERIC Educational Resources Information Center
Johnson, Stacey Margarita; Nelson, Barbara Mullins
2010-01-01
While many students in a foreign language classroom are successful at learning the prescribed curriculum, they may never move beyond the grammar and vocabulary to experience transformative learning. On the other hand, students who do not achieve proficiency may experience a perspective transformation as a result of studying a foreign language.…
Bimodal Emotion Congruency Is Critical to Preverbal Infants' Abstract Rule Learning
ERIC Educational Resources Information Center
Tsui, Angeline Sin Mei; Ma, Yuen Ki; Ho, Anna; Chow, Hiu Mei; Tseng, Chia-huei
2016-01-01
Extracting general rules from specific examples is important, as we must face the same challenge displayed in various formats. Previous studies have found that bimodal presentation of grammar-like rules (e.g. ABA) enhanced 5-month-olds' capacity to acquire a rule that infants failed to learn when the rule was presented with visual presentation of…
Posters, Self-Directed Learning, and L2 Vocabulary Acquisition
ERIC Educational Resources Information Center
Cetin, Yakup; Flamand, Lee
2013-01-01
Posters, either as promotions by various ELT publishing houses or prepared by ELT teachers and students, are widely used on the walls of many foreign language classrooms. Many of them consist of colourful pictures along with L2 vocabulary, grammar, and texts in order to contribute to the foreign language learning process. However, many ELT…
ERIC Educational Resources Information Center
Dawson, Colin; Gerken, LouAnn
2011-01-01
While many constraints on learning must be relatively experience-independent, past experience provides a rich source of guidance for subsequent learning. Discovering structure in some domain can inform a learner's future hypotheses about that domain. If a general property accounts for particular sub-patterns, a rational learner should not…
Improving Pronunciation Instruction in the Second Language Classroom
ERIC Educational Resources Information Center
Counselman, David
2010-01-01
Researchers in second language acquisition (SLA) have increasingly discussed the role that attention plays in the learning of a second language (L2). This discussion has led to research on proposed pedagogical strategies aimed at directing L2 learners' attention to aspects of the L2 grammar that are difficult to learn or acquire. Research on one…
Integrating Teaching Practice with Developmental Norms: The Case of Phonological Teaching in L2
ERIC Educational Resources Information Center
Wong, Richard Kwok-Shing; MacWhinney, Brian
2009-01-01
This paper highlights the crucial role of phonological instruction in early second language English learning. Although older learners can acquire grammar and vocabulary efficiently, younger learners appear to have a greater facility with the learning of sounds. Thus, it makes good sense to focus on articulatory skills for these early learners. By…
A Hierarchical and Contextual Model for Learning and Recognizing Highly Variant Visual Categories
2010-01-01
neighboring pattern primitives, to create our model. We also present a minimax entropy framework for automatically learning which contextual constraints are...Grammars . . . . . . . . . . . . . . . . . . 19 3.2 Markov Random Fields . . . . . . . . . . . . . . . . . . . . . . . . 23 3.3 Creating a Contextual...Compositional Boosting. . . . . 119 7.8 Top-down hallucinations of missing objects. . . . . . . . . . . . . . . 121 7.9 The bottom-up to top-down
The Effectiveness of Social Media Activities on Taiwanese Undergraduates' EFL Grammar Achievement
ERIC Educational Resources Information Center
Singman, Cooper
2012-01-01
The purpose of this study was to compare the effects of social media language learning activities with traditional language learning activities on the development of L2 grammatical competence in two English as a Foreign Language (EFL) classes at a Taiwanese university. The study was grounded in four bodies of knowledge: (a) the…
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…
ERIC Educational Resources Information Center
Nicholes, Justin
2016-01-01
This classroom quasi-experiment aimed to learn if and to what degree supplementing classroom instruction with Rosetta Stone (RS), Tell Me More (TMM), Memrise (MEM), or ESL WOW (WOW) impacted high-stakes English test performance in areas of university-level writing, reading, speaking, listening, and grammar. Seventy-eight (N = 78) Chinese learners…
A graph grammar approach to artificial life.
Kniemeyer, Ole; Buck-Sorlin, Gerhard H; Kurth, Winfried
2004-01-01
We present the high-level language of relational growth grammars (RGGs) as a formalism designed for the specification of ALife models. RGGs can be seen as an extension of the well-known parametric Lindenmayer systems and contain rule-based, procedural, and object-oriented features. They are defined as rewriting systems operating on graphs with the edges coming from a set of user-defined relations, whereas the nodes can be associated with objects. We demonstrate their ability to represent genes, regulatory networks of metabolites, and morphologically structured organisms, as well as developmental aspects of these entities, in a common formal framework. Mutation, crossing over, selection, and the dynamics of a network of gene regulation can all be represented with simple graph rewriting rules. This is demonstrated in some detail on the classical example of Dawkins' biomorphs and the ABC model of flower morphogenesis: other applications are briefly sketched. An interactive program was implemented, enabling the execution of the formalism and the visualization of the results.
Children creating language: how Nicaraguan sign language acquired a spatial grammar.
Senghas, A; Coppola, M
2001-07-01
It has long been postulated that language is not purely learned, but arises from an interaction between environmental exposure and innate abilities. The innate component becomes more evident in rare situations in which the environment is markedly impoverished. The present study investigated the language production of a generation of deaf Nicaraguans who had not been exposed to a developed language. We examined the changing use of early linguistic structures (specifically, spatial modulations) in a sign language that has emerged since the Nicaraguan group first came together: In tinder two decades, sequential cohorts of learners systematized the grammar of this new sign language. We examined whether the systematicity being added to the language stems from children or adults: our results indicate that such changes originate in children aged 10 and younger Thus, sequential cohorts of interacting young children collectively: possess the capacity not only to learn, but also to create, language.
ERIC Educational Resources Information Center
Beaudrie, Sara M.
2017-01-01
Spanish spelling, especially the use of written accent marks, is a major stumbling block for Spanish heritage language (SHL) learners (Carreira 2002). In fact, Mikulski (2006) found that most SHL learners ranked bettering their spelling and grammar as a very important learning goal. Despite its importance in literacy development and its perceived…
Aprendamos juntos: Cuaderno de trabajo. Segunda parte (Let's Learn Together: Workbook. Part Two).
ERIC Educational Resources Information Center
Instituto Nacional para la Educacion de los Adultos, Mexico City (Mexico).
This workbook is part of a Mexican series of instructional materials designed for Spanish speaking adults who are in the process of becoming literate or have recently become literate in their native language. This workbook provides an introduction to grammar. It is designed to help students learn to write words, complete sentences, and paragraphs.…
ERIC Educational Resources Information Center
Saito, Kazuya
2017-01-01
This study examines the relationship between different types of language learning aptitude (measured via the LLAMA test) and adult second language (L2) learners' attainment in speech production in English-as-a-foreign-language (EFL) classrooms. Picture descriptions elicited from 50 Japanese EFL learners from varied proficiency levels were analyzed…
ERIC Educational Resources Information Center
Márquez, Manuel; Chaves, Beatriz
2016-01-01
The application of a methodology based on S.C. Dik's Functionalist Grammar linguistic principles, which is addressed to the teaching of Latin to secondary students, has resulted in a quantitative improvement in students' acquisition process of knowledge. To do so, we have used a self-learning tool, an ad hoc dictionary, of which the use in…
ERIC Educational Resources Information Center
Winke, Paula M.
2013-01-01
In his 2007 study "Effects of Textual Enhancement and Topic Familiarity on Korean EFL Students' Reading Comprehension and Learning of Passive Form," Lee demonstrated that learners were better able to correct written sentences that contained incorrect English passive forms after exposure to texts flooded with enhanced (versus…
ERIC Educational Resources Information Center
Silva, Luis Humberto Rodríguez; Roehr-Brackin, Karen
2016-01-01
This article draws on an approach that conceptualizes L2 learning difficulty in terms of implicit and explicit knowledge. In a study with first language Mexican Spanish university-level learners (n = 30), their teachers (n = 11), and applied linguistics experts (n = 3), we investigated the relationship between (a) these groups' difficulty…
Complexity in language acquisition.
Clark, Alexander; Lappin, Shalom
2013-01-01
Learning theory has frequently been applied to language acquisition, but discussion has largely focused on information theoretic problems-in particular on the absence of direct negative evidence. Such arguments typically neglect the probabilistic nature of cognition and learning in general. We argue first that these arguments, and analyses based on them, suffer from a major flaw: they systematically conflate the hypothesis class and the learnable concept class. As a result, they do not allow one to draw significant conclusions about the learner. Second, we claim that the real problem for language learning is the computational complexity of constructing a hypothesis from input data. Studying this problem allows for a more direct approach to the object of study--the language acquisition device-rather than the learnable class of languages, which is epiphenomenal and possibly hard to characterize. The learnability results informed by complexity studies are much more insightful. They strongly suggest that target grammars need to be objective, in the sense that the primitive elements of these grammars are based on objectively definable properties of the language itself. These considerations support the view that language acquisition proceeds primarily through data-driven learning of some form. Copyright © 2013 Cognitive Science Society, Inc.
Precursors to Natural Grammar Learning: Preliminary Evidence from 4-Month-Old Infants
Friederici, Angela D.; Mueller, Jutta L.; Oberecker, Regine
2011-01-01
When learning a new language, grammar—although difficult—is very important, as grammatical rules determine the relations between the words in a sentence. There is evidence that very young infants can detect rules determining the relation between neighbouring syllables in short syllable sequences. A critical feature of all natural languages, however, is that many grammatical rules concern the dependency relation between non-neighbouring words or elements in a sentence i.e. between an auxiliary and verb inflection as in is singing. Thus, the issue of when and how children begin to recognize such non-adjacent dependencies is fundamental to our understanding of language acquisition. Here, we use brain potential measures to demonstrate that the ability to recognize dependencies between non-adjacent elements in a novel natural language is observable by the age of 4 months. Brain responses indicate that 4-month-old German infants discriminate between grammatical and ungrammatical dependencies in auditorily presented Italian sentences after only brief exposure to correct sentences of the same type. As the grammatical dependencies are realized by phonologically distinct syllables the present data most likely reflect phonologically based implicit learning mechanisms which can serve as a precursor to later grammar learning. PMID:21445341
Overcoming pitfalls: Results from a mandatory peer review process for written examinations.
Wilby, Kyle John; El Hajj, Maguy S; El-Bashir, Marwa; Mraiche, Fatima
2018-04-01
Written assessments are essential components of higher education practices. However, faculty members encounter common pitfalls when designing questions intended to evaluate student-learning outcomes. The objective of this project was to determine the impact of a mandatory examination peer review process on question accuracy, alignment with learning objectives, use of best practices in question design, and language/grammar. A mandatory peer review process was implemented for all midterm (before phase) and final (after phase) examinations. Peer review occurred by two reviewers and followed a pre-defined guidance document. Non-punitive feedback given to faculty members served as the intervention. Frequencies of flagged questions according to guidance categories were compared between phases. A total of 21 midterm and 21 final exam reviews were included in the analysis. A total of 637 questions were reviewed across all midterms and 1003 questions were reviewed across all finals. Few questions were flagged for accuracy and alignment with learning outcomes. The median total proportion of questions flagged for best practices was significantly lower for final exams versus midterm exams (15.8 vs. 6.45%, p = 0.014). The intervention did not influence language and grammar errors (9.68 vs. 10.0% of questions flagged before and after, respectively, p = 0.305). A non-punitive peer review process for written examinations can overcome pitfalls in exam creation and improve best practices in question writing. The peer-review process had a substantial effect at flagging language/grammar errors but error rate did not differ between midterm and final exams. Copyright © 2017 Elsevier Inc. All rights reserved.
The Twenty-Second LACUS Forum, 1995.
ERIC Educational Resources Information Center
Hoffer, Bates, Ed.
Forty-five papers on linguistic theory and language research from the annual conference address these topics: aspects of discourse analysis; agreement languages; grammatical relations; syntax; phonology; grammar; contrastive linguistics; second language learning; syntax; quotations; topic management; aphasia; interpersonal communication; laughter;…
ERIC Educational Resources Information Center
Burgess, Carol A.
Sixth grade students can use cinquain poems to explore language, learn grammar, and write creatively. Before learning about cinquains, students should be introduced to simpler poetic forms. To introduce cinquains, the teacher writes a simple example on the board and has the students informally figure out the parts of speech and grammatical…
ERIC Educational Resources Information Center
Massaro, Dominic W.; Bosseler, Alexis
2006-01-01
A computer-animated tutor, Baldi, has been successful in teaching vocabulary and grammar to children with autism and those with hearing problems. The present study assessed to what extent the face facilitated this learning process relative to the voice alone. Baldi was implemented in a Language Wizard/Tutor, which allows easy creation and…
ERIC Educational Resources Information Center
Harbusch, Karin; Cameran, Christel-Joy; Härtel, Johannes
2014-01-01
We present a new feedback strategy implemented in a natural language generation-based e-learning system for German as a second language (L2). Although the system recognizes a large proportion of the grammar errors in learner-produced written sentences, its automatically generated feedback only addresses errors against rules that are relevant at…
Closure properties of Watson-Crick grammars
NASA Astrophysics Data System (ADS)
Zulkufli, Nurul Liyana binti Mohamad; Turaev, Sherzod; Tamrin, Mohd Izzuddin Mohd; Azeddine, Messikh
2015-12-01
In this paper, we define Watson-Crick context-free grammars, as an extension of Watson-Crick regular grammars and Watson-Crick linear grammars with context-free grammar rules. We show the relation of Watson-Crick (regular and linear) grammars to the sticker systems, and study some of the important closure properties of the Watson-Crick grammars. We establish that the Watson-Crick regular grammars are closed under almost all of the main closure operations, while the differences between other Watson-Crick grammars with their corresponding Chomsky grammars depend on the computational power of the Watson-Crick grammars which still need to be studied.
The Foray into the Neurosciences: Have We Learned Anything Useful Yet?
ERIC Educational Resources Information Center
Mollica, Anthony; Danesi, Marcel
1995-01-01
Reviews research on the neuroscientific perspective to second-language acquisition and teaching, focusing on the "critical period" of language acquisition, brain hemispheric mapping, universal grammar theory, the modal directionality principle, and the modal focusing principle. (contains 74 references) (MDM)
A Dose of Writing Reality: Helping Students become Better Writers
ERIC Educational Resources Information Center
Thompson, Christine Love
2011-01-01
When teachers are overly focused on the teaching of grammar instead of the teaching of writing, students' quality of work suffers. Teachers should provide examples of writer's craft and author's voice to help students learn how to write their own stories.
ERIC Educational Resources Information Center
Song, Lulu; Pulverman, Rachel; Pepe, Christina; Golinkoff, Roberta Michnick; Hirsh-Pasek, Kathy
2016-01-01
Learning a language is more than learning its vocabulary and grammar. For example, compared with English, Spanish uses many more path verbs such as "ascender" ("to move upward") and "salir" ("to go out"), and expresses manner of motion optionally. English, in contrast, has many manner verbs (e.g., "run,…
ERIC Educational Resources Information Center
Fisher, Naomi; Happe, Francesca; Dunn, Judy
2005-01-01
Background: The aim of this study was to examine the relationship between language and theory of mind in children with autistic spectrum disorders (ASD) and children with moderate learning difficulties (MLD). Previous studies have found a strong association between language and theory of mind in a range of groups, but mostly have not included…
Juvenile zebra finches learn the underlying structural regularities of their fathers’ song
Menyhart, Otília; Kolodny, Oren; Goldstein, Michael H.; DeVoogd, Timothy J.; Edelman, Shimon
2015-01-01
Natural behaviors, such as foraging, tool use, social interaction, birdsong, and language, exhibit branching sequential structure. Such structure should be learnable if it can be inferred from the statistics of early experience. We report that juvenile zebra finches learn such sequential structure in song. Song learning in finches has been extensively studied, and it is generally believed that young males acquire song by imitating tutors (Zann, 1996). Variability in the order of elements in an individual’s mature song occurs, but the degree to which variation in a zebra finch’s song follows statistical regularities has not been quantified, as it has typically been dismissed as production error (Sturdy et al., 1999). Allowing for the possibility that such variation in song is non-random and learnable, we applied a novel analytical approach, based on graph-structured finite-state grammars, to each individual’s full corpus of renditions of songs. This method does not assume syllable-level correspondence between individuals. We find that song variation can be described by probabilistic finite-state graph grammars that are individually distinct, and that the graphs of juveniles are more similar to those of their fathers than to those of other adult males. This grammatical learning is a new parallel between birdsong and language. Our method can be applied across species and contexts to analyze complex variable learned behaviors, as distinct as foraging, tool use, and language. PMID:26005428
Morgan-Short, Kara; Steinhauer, Karsten; Sanz, Cristina; Ullman, Michael T.
2013-01-01
It is widely believed that adults cannot learn a foreign language in the same way that children learn a first language. However, recent evidence suggests that adult learners of a foreign language can come to rely on native-like language brain mechanisms. Here, we show that the type of language training crucially impacts this outcome. We used an artificial language paradigm to examine longitudinally whether explicit training (that approximates traditional grammar-focused classroom settings) and implicit training (that approximates immersion settings) differentially affect neural (electrophysiological) and behavioral (performance) measures of syntactic processing. Results showed that performance of explicitly and implicitly trained groups did not differ at either low or high proficiency. In contrast, electrophysiological (ERP) measures revealed striking differences between the groups’ neural activity at both proficiency levels in response to syntactic violations. Implicit training yielded an N400 at low proficiency, whereas at high proficiency, it elicited a pattern typical of native speakers: an anterior negativity followed by a P600 accompanied by a late anterior negativity. Explicit training, by contrast, yielded no significant effects at low proficiency and only an anterior positivity followed by a P600 at high proficiency. Although the P600 is reminiscent of native-like processing, this response pattern as a whole is not. Thus, only implicit training led to an electrophysiological signature typical of native speakers. Overall, the results suggest that adult foreign language learners can come to rely on native-like language brain mechanisms, but that the conditions under which the language is learned may be crucial in attaining this goal. PMID:21861686
Child first language and adult second language are both tied to general-purpose learning systems.
Hamrick, Phillip; Lum, Jarrad A G; Ullman, Michael T
2018-02-13
Do the mechanisms underlying language in fact serve general-purpose functions that preexist this uniquely human capacity? To address this contentious and empirically challenging issue, we systematically tested the predictions of a well-studied neurocognitive theory of language motivated by evolutionary principles. Multiple metaanalyses were performed to examine predicted links between language and two general-purpose learning systems, declarative and procedural memory. The results tied lexical abilities to learning only in declarative memory, while grammar was linked to learning in both systems in both child first language and adult second language, in specific ways. In second language learners, grammar was associated with only declarative memory at lower language experience, but with only procedural memory at higher experience. The findings yielded large effect sizes and held consistently across languages, language families, linguistic structures, and tasks, underscoring their reliability and validity. The results, which met the predicted pattern, provide comprehensive evidence that language is tied to general-purpose systems both in children acquiring their native language and adults learning an additional language. Crucially, if language learning relies on these systems, then our extensive knowledge of the systems from animal and human studies may also apply to this domain, leading to predictions that might be unwarranted in the more circumscribed study of language. Thus, by demonstrating a role for these systems in language, the findings simultaneously lay a foundation for potentially important advances in the study of this critical domain.
The role of language in learning physics
NASA Astrophysics Data System (ADS)
Brookes, David T.
Many studies in PER suggest that language poses a serious difficulty for students learning physics. These difficulties are mostly attributed to misunderstanding of specialized terminology. This terminology often assigns new meanings to everyday terms used to describe physical models and phenomena. In this dissertation I present a novel approach to analyzing of the role of language in learning physics. This approach is based on the analysis of the historical development of physics ideas, the language of modern physicists, and students' difficulties in the areas of quantum mechanics, classical mechanics, and thermodynamics. These data are analyzed using linguistic tools borrowed from cognitive linguistics and systemic functional grammar. Specifically, I combine the idea of conceptual metaphor and grammar to build a theoretical framework that accounts for: (1) the role and function that language serves for physicists when they speak and reason about physical ideas and phenomena, (2) specific features of students' reasoning and difficulties that may be related to or derived from language that students read or hear. The theoretical framework is developed using the methodology of a grounded theoretical approach. The theoretical framework allows us to make predictions about the relationship between student discourse and their conceptual and problem solving difficulties. Tests of the theoretical framework are presented in the context of "heat" in thermodynamics and "force" in dynamics. In each case the language that students use to reason about the concepts of "heat" and "force" is analyzed using the theoretical framework. The results of this analysis show that language is very important in students' learning. In particular, students are (1) using features of physicists' conceptual metaphors to reason about physical phenomena, often overextending and misapplying these features, (2) drawing cues from the grammar of physicists' speech and writing to categorize physics concepts; this categorization of physics concepts plays a key role in students' ability to solve physics problems. In summary, I present a theoretical framework that provides a possible explanation of the role that language plays in learning physics. The framework also attempts to account for how and why physicists' language influences students in the way that it does.
ERIC Educational Resources Information Center
Dupont, Louis
1972-01-01
Author cites philological grammar" as one of three ways of treating language. The other two approaches to language are traditional grammar and linguistic grammar or transformational generative grammar. Philological grammar stresses the art of reading. (DS)
Peace Corps Language Training Curriculum.
ERIC Educational Resources Information Center
Peace Corps, Washington, DC. Information Collection and Exchange Div.
This competency-based curriculum in foreign language learning for Peace Corps volunteers is designed for beginning learners and stresses listening and speaking skills. The curriculum contains the following components: an initial Scope and Sequence chart; three sections on activities (General, Grammar, and Listening), 14 topic area units (the core…
Cajun, Creole, and African American Literacy Narratives
ERIC Educational Resources Information Center
Greene, Nicole Pepinster
2005-01-01
This article examines students' narrative responses to reading professional literacy histories. Demonstrating the importance of narrative as a way of learning, it shows how elementary education majors of diverse backgrounds explore their relation with language in a traditional grammar class. Cajun, Creole, and African American students recover…
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…
English as a Second Language: Current Issues.
ERIC Educational Resources Information Center
Lugton, Robert C., Ed.
This collection contains articles on teaching English to foreign students which range in subject matter from transformational-generative grammar to programed learning and which reflect a variety of viewpoints. The following articles are included: Leon A. Jakobovits, "Prolegomena to a Theory of Communicative Competence"; Renzo Titone, "A…
Dracula, the Vampire Lestat, and TESOL.
ERIC Educational Resources Information Center
Gee, James Paul
1988-01-01
Considers two aspects of knowing language, besides grammar and vocabulary, that are often understressed: 1) perspective taking (through rhythm and intonation) and 2) manipulation of language variation. This observation is discussed in relation to the contrast between incidental and intentional learning, and an argument is made for an intimate…
Syntactic Markedness and Language Acquisition.
ERIC Educational Resources Information Center
Mazurkewich, Irene
1985-01-01
Argues that Chomsky's theory of generative grammar provides a model for second language acquisition that meets the criteria of descriptive and exploratory adequacy in accounting for the language learning process. Illustrates this by presenting data on the acquisition of dative complements and dative questions in a passive context by second…
ERIC Educational Resources Information Center
Sunderland, Jane
1992-01-01
Provides an overview of issues and research in three areas where gender manifests itself in the English-as-a-foreign-language classroom: the English language, materials (grammars, textbooks and teacher-guides), and processes (learning styles and strategies). Also examined are implications of gender in materials and classroom interaction for…
Lessons Learned in Part-of-Speech Tagging of Conversational Speech
2010-10-01
for conversational speech recognition. In Plenary Meeting and Symposium on Prosody and Speech Processing. Slav Petrov and Dan Klein. 2007. Improved...inference for unlexicalized parsing. In HLT-NAACL. Slav Petrov. 2010. Products of random latent variable grammars. In HLT-NAACL. Brian Roark, Yang Liu
An Approach to Teaching the Past Tenses in French.
ERIC Educational Resources Information Center
Abrate, Jayne
1983-01-01
Discusses a method of teaching French past tenses in which students are taught to choose the appropriate tense by learning to view the situation as a native speaker, instead of by trying to memorize and apply very specific grammar rules and all their exceptions. (EKN)
Dabek, Filip; Caban, Jesus J
2017-01-01
Despite the recent popularity of visual analytics focusing on big data, little is known about how to support users that use visualization techniques to explore multi-dimensional datasets and accomplish specific tasks. Our lack of models that can assist end-users during the data exploration process has made it challenging to learn from the user's interactive and analytical process. The ability to model how a user interacts with a specific visualization technique and what difficulties they face are paramount in supporting individuals with discovering new patterns within their complex datasets. This paper introduces the notion of visualization systems understanding and modeling user interactions with the intent of guiding a user through a task thereby enhancing visual data exploration. The challenges faced and the necessary future steps to take are discussed; and to provide a working example, a grammar-based model is presented that can learn from user interactions, determine the common patterns among a number of subjects using a K-Reversible algorithm, build a set of rules, and apply those rules in the form of suggestions to new users with the goal of guiding them along their visual analytic process. A formal evaluation study with 300 subjects was performed showing that our grammar-based model is effective at capturing the interactive process followed by users and that further research in this area has the potential to positively impact how users interact with a visualization system.
Grammar A and Grammar B: Rhetorical Life and Death.
ERIC Educational Resources Information Center
Guinn, Dorothy Margaret
In the past, writers have chosen stylistic devices within the parameters of the traditional grammar of style, "Grammar A," characterized by analyticity, coherence, and clarity. But many contemporary writers are creating a new grammar of style, "Grammar B," characterized by synchronicity, discontinuity, and ambiguity, which…
Integrating Representation Learning and Skill Learning in a Human-Like Intelligent Agent
2013-06-21
of 10 full-year controlled studies [Koedinger and MacLaren, 1997]. Nevertheless, the quality of the personalized instructions depends largely on the...relation among its children . The value of the direction field can be d, h, or v. d is the default value set for grammar rules that have only one child ...nearly comparable performance while significantly reducing the amount of knowledge engineering effort needed. 6.3 Experimental Study on
L1 French Learning of L2 Spanish Past Tenses: L1 Transfer versus Aspect and Interface Issues
ERIC Educational Resources Information Center
Amenós-Pons, José; Ahern, Aoife; Gujarro-Fuentes, Pedro
2017-01-01
This paper examines the process of acquiring L2s that are closely related to the L1 through data on how adult French speakers learning L2 Spanish in a formal setting develop knowledge and use of past tenses in this L2. We consider the role of transfer and simplification in acquiring mental representations of the L2 grammar, specifically in the…
ERIC Educational Resources Information Center
Matthiessen, Christian; Kasper, Robert
Consisting of two separate papers, "Representational Issues in Systemic Functional Grammar," by Christian Matthiessen and "Systemic Grammar and Functional Unification Grammar," by Robert Kasper, this document deals with systemic aspects of natural language processing and linguistic theory and with computational applications of…
Communicative Competence, 1966-1996.
ERIC Educational Resources Information Center
Cazden, Courtney B.
The evolution of the concept of communicative competence (CC) in language learning and teaching is traced since 1966, when D. H. Hymes first discussed it publicly. His concept of CC had its theoretical origins in the convergence of transformational generative grammar and the ethnography of communication, and was first discussed at a conference on…
Developing Modular and Adaptable Courseware Using TeachML.
ERIC Educational Resources Information Center
Wehner, Frank; Lorz, Alexander
This paper presents the use of an XML grammar for two complementary projects--CHAMELEON (Cooperative Hypermedia Adaptive MultimEdia Learning Objects) and EIT (Enabling Informal Teamwork). Areas of applications are modular courseware documents and the collaborative authoring process of didactical units. A number of requirements for a suitable…
Statistical Knowledge and Learning in Phonology
ERIC Educational Resources Information Center
Dunbar, Ewan Michael
2013-01-01
This dissertation deals with the theory of the phonetic component of grammar in a formal probabilistic inference framework: (1) it has been recognized since the beginning of generative phonology that some language-specific phonetic implementation is actually context-dependent, and thus it can be said that there are gradient "phonetic…
Theory Learning as Stochastic Search in the Language of Thought
ERIC Educational Resources Information Center
Ullman, Tomer D.; Goodman, Noah D.; Tenenbaum, Joshua B.
2012-01-01
We present an algorithmic model for the development of children's intuitive theories within a hierarchical Bayesian framework, where theories are described as sets of logical laws generated by a probabilistic context-free grammar. We contrast our approach with connectionist and other emergentist approaches to modeling cognitive development. While…
Using Instant Messaging for Collaborative Learning: A Case Study
ERIC Educational Resources Information Center
Sotillo, Susana M.
2006-01-01
As recent second language acquisition (SLA) studies have shown, the negotiation of linguistic items such as vocabulary, verb tenses, and grammar rules with different types of interlocutors--native speakers (NSs) and advanced non-native speakers (NNSs) of English--seems to facilitate second language development among students. Findings from…
A LEARNER'S SYNOPSIS OF SWAHILI STRUCTURE.
ERIC Educational Resources Information Center
Foreign Service (Dept. of State), Washington, DC. Foreign Service Inst.
WRITTEN SPECIFICALLY TO HELP STUDENTS LEARN TO READ SWAHILI NEWSPAPERS, THIS BRIEF INTRODUCTION TO THAT LANGUAGE EMPHASIZES VOCABULARY AND GRAMMAR PATTERNS MOST COMMONLY FOUND IN EAST AFRICAN NEWSWRITING. IT ASSUMES NO PRIOR KNOWLEDGE OF SWAHILI AND IS DESIGNED TO BE USED WITH LESSONS 1-25 OF "AN ACTIVE INTRODUCTION TO NEWSPAPER…
An Evaluation of an Automated Approach to Concept-Based Grammar Instruction
ERIC Educational Resources Information Center
Lyddon, Paul A.
2012-01-01
Acquiring sufficient linguistic proficiency to perform competently in academic and professional contexts generally requires substantial study time beyond what most language programs can offer in the classroom. As such, teachers and students alike would benefit considerably from high quality self-access materials promoting independent learning out…
A New Model of Teaching Pedagogy in CHISEL for the 21th Century.
ERIC Educational Resources Information Center
Huang, Li-yi
This paper describes and compares six models for teaching second languages developed and adopted since 1840 (grammar-translation, direct, structural, situational, audiolingual, and communicative methods), and proposes a seventh, the cognitive-linguistic method, incorporating Noam Chomsky's theory of learning. The model takes both extralinguistic…
Acquiring Knowledge about Biodiversity in a Museum--Are Worksheets Effective?
ERIC Educational Resources Information Center
Krombab, Angela; Harms, Ute
2008-01-01
This study examined the effectiveness of worksheets while learning about biodiversity in a natural history museum. Despite the frequent use of worksheets by school classes during out-of-school activities, their effectiveness in enhancing knowledge acquisition has been addressed by relatively few empirical studies. 148 Austrian grammar school…
Language Arts - Spanish Grammar.
ERIC Educational Resources Information Center
Andrade, Magdalena; Sones, Mary
This publication presents three suggested language arts curriculum units. They represent a cross-section of materials that have been developed to deal with the learning problems of students with special language difficulties. Originally developed for grades 7-12, these units may be adapted for use in adult education or at other grade levels. They…
Phonological Learning with Output-Driven Maps
ERIC Educational Resources Information Center
Tesar, Bruce
2017-01-01
The concept of an output-driven map formally characterizes an intuitive notion about phonology: that disparities between the input and the output are introduced only to the extent necessary to satisfy restrictions on outputs. When all of the grammars definable in a phonological system are output-driven, the implied structure provides significant…
Nominalizations in Spanish. Studies in Linguistics and Language Learning, Volume V.
ERIC Educational Resources Information Center
Falk, Julia Sableski
Using methods developed in transformational generative grammar, three types of nominal constructions in Spanish are treated in this paper: Fact nominalizations ("[El] Escribir es agradable"), Manner nominalizations ("El tocar [de la mujer] es agradable"), and Abstract noun nominalizations ("La construccion rapida de esta escuela es dudosa"). While…
A MANUAL OF JAPANESE WRITING, BOOK 1.
ERIC Educational Resources Information Center
CHAPLIN, HAMAKO ITO; MARTIN, SAMUEL E.
THIS IS THE FIRST OF THREE VOLUMES WRITTEN TO TEACH THE 881 ESSENTIAL OR "EDUCATION" CHARACTERS TO ENGLISH-SPEAKING STUDENTS OF JAPANESE. THE AUTHORS ASSUME THAT THE STUDENTS HAVE ALREADY LEARNED THE HIRAGANA AND KATAKANA SYLLABARIES AND HAVE A BASIC KNOWLEDGE OF JAPANESE GRAMMAR. ORTHOGRAPHIC CONVENTIONS USED FOLLOW CLOSELY THOSE…
STRUCTURE PLUS MEANING EQUALS LANGUAGE PROFICIENCY.
ERIC Educational Resources Information Center
BELASCO, SIMON
TRUE FOREIGN LANGUAGE PROFICIENCY CAN BE ACHIEVED ONLY BY THE INTERNALIZATION OF THE ENTIRE GRAMMAR OF THE TARGET LANGUAGE PLUS THE DEVELOPMENT OF SKILL IN SEMANTIC INTERPRETATION. ADHERENCE TO EITHER OF THE METHODOLOGICAL ASSUMPTIONS THAT UNDERLIE TODAY'S AUDIOLINGUALLY-ORIENTED PROGRAMS WILL LEAD STUDENTS TO NOTHING MORE THAN A LEARNING PLATEAU.…
ERIC Educational Resources Information Center
Otanes, Fe T., Ed.; Wrigglesworth, Hazel
1992-01-01
The dictionary of Binukid, a language spoken in the Bukidnon province of the Philippines, is intended as a tool for students of Binukid and for native Binukid-speakers interested in learning English. A single dialect was chosen for this work. The dictionary is introduced by notes on Binukid grammar, including basic information about phonology and…
Effects of Feedback Timing and Type on Learning ESL Grammar Rules
ERIC Educational Resources Information Center
Lavolette, Elizabeth H. P.
2014-01-01
The optimal timing of feedback on formative assessments is an open question, with the cognitive processing window theory (Doughty, 2001) underlying the interaction approach suggesting that immediate feedback may be most beneficial for language acquisition (e.g., Gass, 2010; Polio, 2012) and two educational psychology hypotheses conversely…
Using Music to Support the Literacy Development of Young English Language Learners
ERIC Educational Resources Information Center
Paquette, Kelli R.; Rieg, Sue A.
2008-01-01
Integrating experiences with music in the early childhood classroom supports English language learners' literacy development (Peregoy and Boyle, "Reading, writing, and learning in ESL." Pearson, Boston, 2008; Saricoban and Metin, "Songs, verse and games for teaching grammar." Internet "TESL J," 2000). This article describes the benefits of…
ERIC Educational Resources Information Center
Safford, Kimberly
2016-01-01
The research examined the impact on teachers of the grammar element of a new statutory test in Spelling, Punctuation and Grammar (SPaG) in primary schools in England. The research aimed to evaluate the nature and the extent of changes to the teaching of grammar and to wider literacy teaching since the introduction of the test in 2013. The research…
ERIC Educational Resources Information Center
King, Lid, Ed.; Boaks, Peter, Ed.
Papers from a conference on the teaching of grammar, particularly in second language instruction, include: "Grammar: Acquisition and Use" (Richard Johnstone); "Grammar and Communication" (Brian Page); "Linguistic Progression and Increasing Independence" (Bernardette Holmes); "La grammaire? C'est du bricolage!" ("Grammar? That's Hardware!") (Barry…
Skinner's verbal behavior, Chomsky's review, and mentalism.
Stemmer, N
1990-01-01
Skinner's Verbal Behavior (1957) is a comprehensive treatise that deals with most aspects of verbal behavior. However, its treatment of the learning of grammatical behavior has been challenged repeatedly (e.g., Chomsky, 1959). The present paper will attempt to show that the learning of grammar and syntax can be dealt with adequately within a behavior-analytic framework. There is no need to adopt mentalist (or cognitivist) positions or to add mentalist elements to behaviorist theories. PMID:2103585
The Grammar Gallimaufry: Teaching Students to Challenge the Grammar Gods
ERIC Educational Resources Information Center
House, Jeff
2009-01-01
How a person teaches grammar depends on what he or she believes it does. Some see grammar as a set of rules, inherited from wise forefathers. For them, teaching grammar means making students aware of, and then holding them to, these rules. Others see grammar as an expression of style, an invitation to the writer to explore how to create a…
ERIC Educational Resources Information Center
Crawford, William J.
2013-01-01
Grammar is a component in all language skills: reading, writing, speaking, and listening. Teachers need to know rules of grammar (teacher knowledge) as well as techniques that help students use grammar effectively and effortlessly (teaching knowledge). Using reflective practice to help teachers become comfortable with teaching grammar, this…
ERIC Educational Resources Information Center
Coos County Intermediate Education District, North Bend, OR.
Project COULD (Career Orientation Utilizing Language Development) was developed as a means of building skills, knowledges, and attitudes on elementary children's previously acquired backgrounds. Children learn to speak the grammar and vocabulary characteristic of the language heard most frequently at home and in the immediate environment. Each…
ERIC Educational Resources Information Center
Kilickaya, Ferit; Krajka, Jaroslaw
2012-01-01
Both teacher- and learner-made computer visuals are quite extensively reported in Computer-Assisted Language Learning literature, for instance, filming interviews, soap operas or mini-documentaries, creating storyboard projects, authoring podcasts and vodcasts, designing digital stories. Such student-made digital assets are used to present to…
ERIC Educational Resources Information Center
Pawlikowski, Piotr
2007-01-01
Polish students learn about Platonic solids in the final year of secondary grammar school, but in such a way that few perceive the beauty of this branch of mathematics. An average student associates polyhedra with calculating lengths and angles in a cube, cuboid or pyramid. But for the author, 3-D geometry is the branch of mathematics that shows…
Marketing Fish: Unit F#4 Grade 6. Project COULD: Career Orientation Utilizing Language Development.
ERIC Educational Resources Information Center
Coos County Intermediate Education District, North Bend, OR.
Project COULD (Career Orientation Utilizing Language Development) was developed as a means of building skills, knowledges, and attitudes on elementary children's previously acquired backgrounds. Children learn to speak the grammar and vocabulary characteristic of the language heard most frequently at home and in the immediate environment. A series…
Using Teacher-Developed Corpora in the CBI Classroom
ERIC Educational Resources Information Center
Salsbury, Tom; Crummer, Crista
2008-01-01
This article argues for the use of teacher-generated corpora in content-based courses. Using a content course for engineering and architecture students as an example, the article explains how a corpus consisting of texts from textbooks and journal articles helped students learn grammar, vocabulary, and writing. The article explains how the corpus…
Intervention to Improve Expressive Grammar for Adults with Down Syndrome
ERIC Educational Resources Information Center
Hewitt, Lynne E.; Hinkle, Angela S.; Miccio, Adele W.
2005-01-01
Recent investigations have supported the ability of persons with Down syndrome to continue learning language on into adulthood. The importance of intervention to increase communicative competence is evident--what is not known is the effectiveness of such intervention. The authors report here on a series of case studies that investigated a language…
Efficacy of an ICALL Tutoring System and Process-Oriented Corrective Feedback
ERIC Educational Resources Information Center
Choi, Inn-Chull
2016-01-01
A Web-based form-focused intelligent computer-assisted language learning (ICALL) tutoring system equipped with a process-oriented corrective feedback function was developed to investigate the extent to which such a program may serve as a viable method of teaching grammar to Korean secondary and elementary students. The present study was also…
Rage against the Machine: Evaluation Metrics in the 21st Century
ERIC Educational Resources Information Center
Yang, Charles
2017-01-01
I review the classic literature in generative grammar and Marr's three-level program for cognitive science to defend the Evaluation Metric as a psychological theory of language learning. Focusing on well-established facts of language variation, change, and use, I argue that optimal statistical principles embodied in Bayesian inference models are…
Learning from Assessment: NAPLAN and Indigenous Students
ERIC Educational Resources Information Center
Leder, Gilah; Forgasz, Helen
2014-01-01
In this paper we report trends over time of performance of non-Indigenous and Indigenous students on the Numeracy component of the NAPLAN tests. Possible links between student performance on the NAPLAN Numeracy test and the four components--Reading, Writing, Spelling, and Grammar--of the NAPLAN Literacy test were also explored. While the…
The Motor Core of Speech: A Comparison of Serial Organization Patterns in Infants and Languages.
ERIC Educational Resources Information Center
MacNeilage, Peter F.; Davis, Barbara L.; Kinney, Ashlynn; Matyear, Christine L.
2000-01-01
Presents evidence for four major design features of serial organization of speech arising from comparison of babbling and early speech with patterns in ten languages. Maintains that no explanation for the design features is available from Universal Grammar; except for intercyclical consonant repetition development, perceptual-motor learning seems…
Spoken Grammar Practice and Feedback in an ASR-Based CALL System
ERIC Educational Resources Information Center
de Vries, Bart Penning; Cucchiarini, Catia; Bodnar, Stephen; Strik, Helmer; van Hout, Roeland
2015-01-01
Speaking practice is important for learners of a second language. Computer assisted language learning (CALL) systems can provide attractive opportunities for speaking practice when combined with automatic speech recognition (ASR) technology. In this paper, we present a CALL system that offers spoken practice of word order, an important aspect of…
Harvesting Fish: Unit F#1 Grade 3. Project COULD: Career Orientation Utilizing Language Development.
ERIC Educational Resources Information Center
Coos County Intermediate Education District, North Bend, OR.
Project COULD (Career Orientation Utilizing Language Development) was developed as a means of building skills, knowledges, and attitudes on elementary children's previously acquired backgrounds. Children learn to speak the grammar and vocabulary characteristic of the language heard most frequently at home and in the immediate environment. A series…
The Use of Personalized Texts for Teaching Turkish as a Second Language
ERIC Educational Resources Information Center
Kardas, Demet
2016-01-01
This study attempted to identify the advantages of using personalized texts for teaching Turkish grammar rules to foreigners. The sample comprised two homogenous groups, one experimental and one control, who studied at TÖMER (Turkish Language Learning Research and Application Center) at Gazi University. The students in the experimental group were…
Techniques for Using Humor and Fun in the Language Arts Classroom
ERIC Educational Resources Information Center
Minchew, Sue S.; Hopper, Peggy F.
2008-01-01
The authors, former middle and high school English teachers, review the rationale for using humor and fun in the classroom and provide detailed descriptions for teaching practices and activities that confer enjoyment and learning for language arts students. Although fun activities, these methods foster vocabulary development, grammar instruction,…
ERIC Educational Resources Information Center
Kashiwagi, Kazuko; Ito, Yukiko
2017-01-01
Even young EFL learners who have not yet learned L2 grammar will notice language patterns if, when retrieving exemplars ("item-based patterns"), they succeed in making form-meaning connections (FMCs). Item-based patterns, termed formulaic sequences (FS), serve as a basis for creative constructions. Although learners are implicitly…
ERIC Educational Resources Information Center
Sanz, Cristina; Lin, Hui-Ju; Lado, Beatriz; Stafford, Catherine A.; Bowden, Harriet W.
2016-01-01
The article summarizes results from two experimental studies (N = 23, N = 21) investigating the extent to which working memory capacity (WMC) intervenes in "ab initio" language development under two pedagogical conditions [± grammar lesson + input-based practice + explicit feedback]. The linguistic target is the use of morphosyntax to…
ERIC Educational Resources Information Center
Poza, Luis E.
2016-01-01
Conceptualizations of language and language learning underlie language pedagogies (Valdés, Poza, & Brooks, 2015). The present work relies on ethnographic observation and interviews in a dual immersion (DI) bilingual program, as well as a content analysis of the research foundation of the English Language Development intervention curriculum, to…
ERIC Educational Resources Information Center
Shinozuka, Katsumasa; Shibata, Setsue; Mizusawa, Yumiko
2017-01-01
Poor English performance among Japanese college EFL students has often been explained by grammar-translation and lecture-memorization instruction. This study investigated the effectiveness of a recently designed teaching method, namely, "The read-aloud instruction package," which consists of four major activities: Slash/chunked reading…
Comprehension Research: New Directions and Ideas for LD Teachers.
ERIC Educational Resources Information Center
Clary, Linda Mixon; Sheppo, Karen G.
Research on teaching methods is reviewed for improving the reading comprehension of learning disabled (LD) students. Among the approaches noted are the structured overview, in which the teacher and/or students arrange important concepts and terms in a graphic design for introduction and discussion before reading; use of story grammars to outline…
Interaction at Storytime in the Nursery Classroom.
ERIC Educational Resources Information Center
Dombey, Henrietta
Using the tools of systematic grammar, this case study examined 3- and 4-year-old children's experiences with storytelling and the potential effects of those experiences on the children's future success in learning to read. Subjects were students attending one of two nursery school classes held at a large primary school on the south coast of…
A Case Study of Teaching English and Multimodality with ICTs: Constraints and Possibilities
ERIC Educational Resources Information Center
Jetnikoff, Anita
2015-01-01
Current Australian policies and curricular frameworks demand that teachers and students use technology creatively and meaningfully in classrooms to develop students into 21C technological citizens. English teachers and students also have to learn new metalanguage around visual grammar since multimodal tasks often combine creative with critical…
ERIC Educational Resources Information Center
Dimitrova, Aneta; Tomova, Christina; Tasseva, Mila
Designed for continued language learning beyond the intermediate level, this workbook provides practice and sets of exercises for improving speaking and listening skills in Bulgarian through class participation and discussion, and reading and writing. The book includes grammar explanations, news reports, brief biographies of prominent Bulgarians,…
ERIC Educational Resources Information Center
Coos County Intermediate Education District, North Bend, OR.
Project COULD (Career Orientation Utilizing Language Development) was developed as a means of building skills, knowledges, and attitudes on elementary children's previously acquired backgrounds. Children learn to speak the grammar and vocabulary characteristic of the language heard most frequently at home and in the immediate environment. A series…
An Empirical Generative Framework for Computational Modeling of Language Acquisition
ERIC Educational Resources Information Center
Waterfall, Heidi R.; Sandbank, Ben; Onnis, Luca; Edelman, Shimon
2010-01-01
This paper reports progress in developing a computer model of language acquisition in the form of (1) a generative grammar that is (2) algorithmically learnable from realistic corpus data, (3) viable in its large-scale quantitative performance and (4) psychologically real. First, we describe new algorithmic methods for unsupervised learning of…
Exploiting the Theme Vault: Or, Learning from Everybody's Mistakes.
ERIC Educational Resources Information Center
Dumas, Bethany K.
Many English handbooks and "grammars" fail to offer sound advice to writers about matters of exactness in diction and precision in sentence structure. A gap between linguists and English teachers, the literary bias of most graduate departments of English, and a national obsession with the all-powerful capabilities of common sense, have…
Educational Environment and Cultural Transmission in Foreign Language Teaching
ERIC Educational Resources Information Center
Memis, Muhammet Rasit
2016-01-01
Foreign language teaching is not to teach grammar and vocabulary of the target language and to gain basic language skills only. Foreign language teaching is teaching of the language's culture at the same time. Because of language and community develop and shape together, learning, understanding and speaking a foreign language literally requires…
ERIC Educational Resources Information Center
Roddy, Michael
This book aims to meet the needs of students who are beginning to learn English and to help them reach such goals as gaining an education, finding a job, continuing on to higher education, or functioning better in everyday life in the United States. The book stresses the basic language skills of vocabulary development, grammar, reading, writing,…
ERIC Educational Resources Information Center
Otfinowski, Rafael; Silva-Opps, Marina
2015-01-01
Analytical writing enhances retention of science learning and is integral to student-centered classrooms. Despite this, scientific writing in undergraduate programs is often presented as a series of sentence-level conventions of grammar, syntax, and citation formats, reinforcing students' perceptions of its highly prescriptive nature. The authors…
A Blended Collaborative Writing Approach for Chinese L2 Primary School Students
ERIC Educational Resources Information Center
Wong, Lung-Hsiang; Chen, Wenli; Chai, Ching-Sing; Chin, Chee-Kuen; Gao, Ping
2011-01-01
This paper outlines an adaptable collaborative writing approach employing a wiki to address the typical weaknesses of young Singaporean Chinese students learning Chinese as second language (L2) in Chinese writing. These students' problems in writing include limited and incorrect use of vocabulary, English-style grammar, badly structured passages,…
Jabberwocky: The Complexities of Mathematical English
ERIC Educational Resources Information Center
Carter, Merilyn; Quinnell, Lorna
2012-01-01
Students find it hard to interpret mathematical problem texts. Mathematics is a unique language with its own symbols (grapho-phonics), vocabulary (lexicon), grammar (syntax), semantics and literature. As in any other language, to make meaning of the text, the student must learn: (1) signs and symbols (for example: [division], x, [not equal to]);…
From SOV to SVO: The Grammar of Interlanguage Word Order.
ERIC Educational Resources Information Center
Camacho, Jose
1999-01-01
Analyzes the grammatical outcome of the conflict speakers of a head-final first language (L1) (Southern Quechua) face when learning a head-initial target (Standard Spanish) language in a naturalistic setting. Proposes that interlanguage sentential word orders reflect a transfer of two independent parameters from the L1: the possibility of having…
ERIC Educational Resources Information Center
Scull, Janet
2013-01-01
This paper examines the oral language resources that enhance children's reading and comprehension processes. Using data from a study of 16 children, the microanalysis of the three more successful readers, identified salient factors from the individual children's learning profiles that were observed as associated with their positive comprehension…
Indian Languages Bibliography of Grammars, Dictionaries and Teaching Materials.
ERIC Educational Resources Information Center
Pattanayak, D. P., Comp.
This bibliography of Indian languages is designed to assist students, teachers, librarians, and researchers in identifying instructional works to serve the needs of those teaching and learning Indian languages, and to promote the study of these languages. It was compiled with the Indian language situation in mind, in which the superficial…
The Corporeality of Learning: Confucian Education in Early Modern Japan
ERIC Educational Resources Information Center
Tsujimoto, Masashi
2016-01-01
The intellectual foundation of early modern Japan was provided by Confucianism--a system of knowledge set forth in Chinese classical writings. In order to gain access to this knowledge, the Japanese applied reading markers to modify the original Chinese to fit the peculiarities of Japanese grammar and pronunciation. Confucian education started by…
Kreol: A Language Training Program for Peace Corps-Seychelles.
ERIC Educational Resources Information Center
Mancienne, Roger
A course in French-derived Kreol is designed for language learning among Peace Corps volunteers assigned to the Seychelles. The materials consist of 36 lessons on topics of daily communication needs. Lessons contain a story, dialogue, and/or list of expressions, exercises, and vocabulary and grammar notes and translations in the margin. Some…
A Prototype Greek Text to Greek Sign Language Conversion System
ERIC Educational Resources Information Center
Kouremenos, Dimitris; Fotinea, Stavroula-Evita; Efthimiou, Eleni; Ntalianis, Klimis
2010-01-01
In this article, a prototype Greek text to Greek Sign Language (GSL) conversion system is presented. The system is integrated into an educational platform that addresses the needs of teaching GSL grammar and was developed within the SYNENNOESE project (Efthimiou "et al." 2004a. Developing an e-learning platform for the Greek sign…
Foreign Language Methods and an Information Processing Model of Memory.
ERIC Educational Resources Information Center
Willebrand, Julia
The major approaches to language teaching (audiolingual method, generative grammar, Community Language Learning and Silent Way) are investigated to discover whether or not they are compatible in structure with an information-processing model of memory (IPM). The model of memory used was described by Roberta Klatzky in "Human Memory:…
A Practical Guide to the Teaching of English as a Second or Foreign Language.
ERIC Educational Resources Information Center
Rivers, Wilga M.; Temperley, Mary S.
This text, designed for future teachers of English as a second or foreign language, considers language teaching methodology in the light of recent research in psychology and linguistics. Many aspects of language learning that contribute to effective language use are discussed: oral communication, pronunciation, grammar instruction, listening…
Constraining Multiple Grammars
ERIC Educational Resources Information Center
Hopp, Holger
2014-01-01
This article offers the author's commentary on the Multiple Grammars (MG) language acquisition theory proposed by Luiz Amaral and Tom Roeper in the present issue. Multiple Grammars advances the claim that optionality is a constitutive characteristic of any one grammar, with interlanguage grammars being perhaps the clearest examples of a…
La Grammaire: Lectures (Grammar: Readings).
ERIC Educational Resources Information Center
Arrive, Michel; Chevalier, Jean-Claude
A historical perspective of French grammar is developed in this chronologically arranged reader. Part One includes material on French grammar from the 16th to the 19th century: (1) the "Premiere Epoque": 1530-1660, (2) the general grammar of Port-Royal, and (3) the "philosophical grammars" treating syntax, sentence structure, and discourse…
What English Teachers Need to Know about Grammar.
ERIC Educational Resources Information Center
Murdick, William
1996-01-01
Suggests that English teachers need to know that grammar is a difficult subject; know what children know about grammar; know that grammatical error is complex; and know more about language than just grammar. Concludes with the advice of Noam Chomsky--that grammar should be taught for its own intrinsic interest. (RS)
Pourquoi les exercices de grammaire? (Why Grammar Exercises?)
ERIC Educational Resources Information Center
Bastuji, Jacqueline
1977-01-01
Recent theories and experiementation running the gamut from the absolute necessity of grammar to its uselessness in teaching a language form the basis of this article. Topics covered are: a typology of the grammar exercise; explicit grammar and linguistic competence; grammar exercises responding to real needs. (Text is in French.) (AMH)
Implementation of a Natural Language Processor Using Functional Grammar.
1985-12-01
in a completely different manner. [Ref. 5:pp. 81-883 ; "C. CASE GRAMMAR When Chomsky published his Aspects of the Theory of Syntax, 0 many linguists...approach was developed at Stanford University .[Ref. 7:pp. 187-2473 E. FUNCTIONAL GRAMMAR Shortly after Transformational Grammar and Case Grammar ... Grammar is a radical approach to linguistic theory when looked at from the Chomsky point of view. However, it compares favorably with the traditional
A new variant of Petri net controlled grammars
NASA Astrophysics Data System (ADS)
Jan, Nurhidaya Mohamad; Turaev, Sherzod; Fong, Wan Heng; Sarmin, Nor Haniza
2015-10-01
A Petri net controlled grammar is a Petri net with respect to a context-free grammar where the successful derivations of the grammar can be simulated using the occurrence sequences of the net. In this paper, we introduce a new variant of Petri net controlled grammars, called a place-labeled Petri net controlled grammar, which is a context-free grammar equipped with a Petri net and a function which maps places of the net to productions of the grammar. The language consists of all terminal strings that can be obtained by parallelly applying multisets of the rules which are the images of the sets of the input places of transitions in a successful occurrence sequence of the Petri net. We study the effect of the different labeling strategies to the computational power and establish lower and upper bounds for the generative capacity of place-labeled Petri net controlled grammars.
Gordon, Reyna L; Jacobs, Magdalene S; Schuele, C Melanie; McAuley, J Devin
2015-03-01
This paper reviews the mounting evidence for shared cognitive mechanisms and neural resources for rhythm and grammar. Evidence for a role of rhythm skills in language development and language comprehension is reviewed here in three lines of research: (1) behavioral and brain data from adults and children, showing that prosody and other aspects of timing of sentences influence online morpho-syntactic processing; (2) comorbidity of impaired rhythm with grammatical deficits in children with language impairment; and (3) our recent work showing a strong positive association between rhythm perception skills and expressive grammatical skills in young school-age children with typical development. Our preliminary follow-up study presented here revealed that musical rhythm perception predicted variance in 6-year-old children's production of complex syntax, as well as online reorganization of grammatical information (transformation); these data provide an additional perspective on the hierarchical relations potentially shared by rhythm and grammar. A theoretical framework for shared cognitive resources for the role of rhythm in perceiving and learning grammatical structure is elaborated on in light of potential implications for using rhythm-emphasized musical training to improve language skills in children. © 2015 New York Academy of Sciences.
A Novel Connectionist Network for Solving Long Time-Lag Prediction Tasks
NASA Astrophysics Data System (ADS)
Johnson, Keith; MacNish, Cara
Traditional Recurrent Neural Networks (RNNs) perform poorly on learning tasks involving long time-lag dependencies. More recent approaches such as LSTM and its variants significantly improve on RNNs ability to learn this type of problem. We present an alternative approach to encoding temporal dependencies that associates temporal features with nodes rather than state values, where the nodes explicitly encode dependencies over variable time delays. We show promising results comparing the network's performance to LSTM variants on an extended Reber grammar task.
Checking the Grammar Checker: Integrating Grammar Instruction with Writing.
ERIC Educational Resources Information Center
McAlexander, Patricia J.
2000-01-01
Notes Rei Noguchi's recommendation of integrating grammar instruction with writing instruction and teaching only the most vital terms and the most frequently made errors. Presents a project that provides a review of the grammar lessons, applies many grammar rules specifically to the students' writing, and teaches students the effective use of the…
Effect of X-Word Grammar and Traditional Grammar Instruction on Grammatical Accuracy
ERIC Educational Resources Information Center
Livingston, Sue; Toce, Andi; Casey, Toce; Montoya, Fernando; Hart, Bonny R.; O'Flaherty, Carmela
2018-01-01
This study first briefly describes an instructional approach to teaching grammar known as X-Word Grammar and then compares its effectiveness in assisting students in achieving grammatical accuracy with traditionally taught grammar. Two groups of L2 pre-college students were taught using curricula and practice procedures in two different grammar…
The Artificial Intelligence Applications to Learning Programme.
ERIC Educational Resources Information Center
Williams, Noel
1992-01-01
Explains the Artificial Intelligence Applications to Learning Programme, which was developed in the United Kingdom to explore and accelerate the use of artificial intelligence (AI) technologies in learning in both the educational and industrial sectors. Highlights include program evaluation, marketing, ownership of information, consortia, and cost…
ERIC Educational Resources Information Center
National Council of Teachers of English, Urbana, IL. Assembly for the Teaching of English Grammar.
Providing alternatives to the way grammar is taught, this proceedings includes every paper (or summary) except one delivered at a conference on the future of grammar in American schools. Papers in the proceedings are: "Keynote: The Future of Grammar in American Schools" (Martha Kolln); "Approaches to Grammar: Teaching &…
Understanding the Complex Processes in Developing Student Teachers' Knowledge about Grammar
ERIC Educational Resources Information Center
Svalberg, Agneta M.-L.
2015-01-01
This article takes the view that grammar is driven by user choices and is therefore complex and dynamic. This has implications for the teaching of grammar in language teacher education and how teachers' cognitions about grammar, and hence their own grammar teaching, might change. In this small, interpretative study, the participants--students on…
NASA Astrophysics Data System (ADS)
Delgado, Francisco
2017-12-01
Quantum information processing should be generated through control of quantum evolution for physical systems being used as resources, such as superconducting circuits, spinspin couplings in ions and artificial anyons in electronic gases. They have a quantum dynamics which should be translated into more natural languages for quantum information processing. On this terrain, this language should let to establish manipulation operations on the associated quantum information states as classical information processing does. This work shows how a kind of processing operations can be settled and implemented for quantum states design and quantum processing for systems fulfilling a SU(2) reduction in their dynamics.
User-defined functions in the Arden Syntax: An extension proposal.
Karadimas, Harry; Ebrahiminia, Vahid; Lepage, Eric
2015-12-11
The Arden Syntax is a knowledge-encoding standard, started in 1989, and now in its 10th revision, maintained by the health level seven (HL7) organization. It has constructs borrowed from several language concepts that were available at that time (mainly the HELP hospital information system and the Regenstrief medical record system (RMRS), but also the Pascal language, functional languages and the data structure of frames, used in artificial intelligence). The syntax has a rationale for its constructs, and has restrictions that follow this rationale. The main goal of the Standard is to promote knowledge sharing, by avoiding the complexity of traditional programs, so that a medical logic module (MLM) written in the Arden Syntax can remain shareable and understandable across institutions. One of the restrictions of the syntax is that you cannot define your own functions and subroutines inside an MLM. An MLM can, however, call another MLM, where this MLM will serve as a function. This will add an additional dependency between MLMs, a known criticism of the Arden Syntax knowledge model. This article explains why we believe the Arden Syntax would benefit from a construct for user-defined functions, discusses the need, the benefits and the limitations of such a construct. We used the recent grammar of the Arden Syntax v.2.10, and both the Arden Syntax standard document and the Arden Syntax Rationale article as guidelines. We gradually introduced production rules to the grammar. We used the CUP parsing tool to verify that no ambiguities were detected. A new grammar was produced, that supports user-defined functions. 22 production rules were added to the grammar. A parser was built using the CUP parsing tool. A few examples are given to illustrate the concepts. All examples were parsed correctly. It is possible to add user-defined functions to the Arden Syntax in a way that remains coherent with the standard. We believe that this enhances the readability and the robustness of MLMs. A detailed proposal will be submitted by the end of the year to the HL7 workgroup on Arden Syntax. Copyright © 2015 Elsevier B.V. All rights reserved.
Maniyaka: A Reference Handbook of Phonetics, Grammar, Lexicon and Learning Procedures.
ERIC Educational Resources Information Center
Cutler, Sue A.; Dwyer, David J.
A guide for independent learners of Maniyaka (also known as Mandingo), one of the Mande languages of Liberia, is intended for individuals already in a Mandingo speaking situation but without access to experienced teachers of the language. An introductory chapter discusses the languages of Liberia and provides a map of Liberian languages, a chart…
ERIC Educational Resources Information Center
Mousavi, Khorshid; Alavinia, Parviz; Gholami, Javad
2018-01-01
The present study investigated the comparison between short and long-term effectiveness of input-providing and output-prompting negotiation strategies on mastering the target structures. To this end, the participants were divided into three groups, namely two experimental groups who had a special kind of treatment, and one control group without…
ERIC Educational Resources Information Center
MELLON, JOHN C.
THIS STUDY REPORTS AN EXPERIMENT ON THE HYPOTHESIS THAT GRAMMAR-RELATED SENTENCE-COMBINING PRACTICE WILL MEANINGFULLY ENHANCE THE NORMAL GROWTH OF SYNTACTIC FLUENCY. TRADITIONAL STUDIES ON ERROR THERAPY AND SENTENCE STRUCTURE ARE REVIEWED, AND DESIGN AND RATIONALE ARE INFERRED FROM THE RESEARCH OF BATEMAN AND ZIDONIS. RULE LEARNING, PATTERN…
Tool Mediation in Focus on Form Activities: Case Studies in a Grammar-Exploring Environment
ERIC Educational Resources Information Center
Karlstrom, Petter; Cerratto-Pargman, Teresa; Lindstrom, Henrik; Knutsson, Ola
2007-01-01
We present two case studies of two different pedagogical tasks in a Computer Assisted Language Learning environment called Grim. The main design principle in Grim is to support "Focus on Form" in second language pedagogy. Grim contains several language technology-based features for exploring linguistic forms (static, rule-based and statistical),…
TechWriter: An Evolving System for Writing Assistance for Advanced Learners of English
ERIC Educational Resources Information Center
Napolitano, Diane M.; Stent, Amanda
2009-01-01
Writing assistance systems, from simple spelling checkers to more complex grammar and readability analyzers, can be helpful aids to nonnative writers of English. However, many writing assistance systems have two disadvantages. First, they are not designed to encourage skills learning and independence in their users; instead, users may begin to use…
ERIC Educational Resources Information Center
Peniche Leger, Maria Elena, Ed.
This consumable, graded workbook can be used for exercises, tests, and individualized learning. Each level contains 30 units divided into four groups of exercises: reading analysis, grammar, composition, and spelling. Ten general tests are also included. For the accompanying reader, see FL 004 047. (Author/SK)
Grammar Package 1. MicroSIFT Courseware Evaluation.
ERIC Educational Resources Information Center
Northwest Regional Educational Lab., Portland, OR.
THE FOLLOWING IS THE FULL TEXT OF THIS DOCUMENT (Except for the Evaluation Summary Table): VERSION: TRS-80. PRODUCER: Micro Learning Ware, P.O. Box 2134, N. Mankato, MN 56001. EVALUATION COMPLETED: June 22, 1982 by the staff and constituents of the Portland Public Schools, Portland, Oregon. COST: $24.95. ABILITY LEVEL: 4-5. SUBJECT: Language arts.…
Learning Achievement Packages, Language Arts--Spanish Grammar.
ERIC Educational Resources Information Center
Andrade, Magdalena; Sones, Mary
This set of three Spanish curriculum units is part of a series developed as part of a Spanish-English bilingual project and designed to deal with special language difficulties in grades 7-12 and adult education classes. These units are intended to aid the first- or second-year student in specific problem areas: capital letters, dictionary use, and…
PSYCHOLINGUISTIC SIMILARITIES IN THE ACQUISITION OF ENGLISH AND RUSSIAN AS NATIVE LANGUAGES.
ERIC Educational Resources Information Center
SLOBIN, DAN I.
ONE APPROACH TO CHILD LANGUAGE ACQUISITION IS THAT OF TRANSFORMATIONAL, GENERATIVE GRAMMAR WHICH EMPHASIZES MAN'S ABILITY TO UNDERSTAND AND PRODUCE AN UNLIMITED VARIETY OF SENTENCES THROUGH CONTROL OF A LIMITED NUMBER OF LANGUAGE RULES. THUS, A CHILD LEARNS TO SPEAK BY DEVELOPING HIS OWN THEORIES OF THE STRUCTURE OF HIS LANGUAGE. STUDIES OF…
Learning System of Web Navigation Patterns through Hypertext Probabilistic Grammars
ERIC Educational Resources Information Center
Cortes Vasquez, Augusto
2015-01-01
One issue of real interest in the area of web data mining is to capture users' activities during connection and extract behavior patterns that help define their preferences in order to improve the design of future pages adapting websites interfaces to individual users. This research is intended to provide, first of all, a presentation of the…
A Taste of Spanish, Foreign Language: 7503.21.
ERIC Educational Resources Information Center
Dade County Public Schools, Miami, FL.
This introductory conversational course is intended for the student who would like to learn some Spanish but is uncertain about his desire to continue its formal study. The course content includes greetings, numbers 0-100, days of the week, months of the year, weather, time, and family, colors, games, dances and songs, and sufficient grammar to…
The Interpretation of Disjunction in Universal Grammar
ERIC Educational Resources Information Center
Crain, Stephen
2008-01-01
Child and adult speakers of English have different ideas of what "or" means in ordinary statements of the form "A or B". Even more far-reaching differences between children and adults are found in other languages. This tells us that young children do not learn what "or" means by watching how adults use "or". An alternative is to suppose that…
Stimulus-Response Theory of Finite Automata, Technical Report No. 133.
ERIC Educational Resources Information Center
Suppes, Patrick
The central aim of this paper and its projected successors is to prove in detail that stimulus-response theory, or at least a mathematically precise version, can give an account of the learning of many phrase-structure grammars. Section 2 is concerned with standard notions of finite and probabilistic automata. An automaton is defined as a device…
A Vocabulary Learning Tool for L2 Undergraduates Reading Science and Technology Textbooks
ERIC Educational Resources Information Center
Hsu, Chihcheng; Ou Yang, Fang-Chuan
2013-01-01
Students of English as a second language who major in science and technology use English-language textbooks to ensure that they can read English materials upon graduation. Research indicates that teachers spend little time helping these students on the linguistic complexity of such textbooks. Vocabulary, grammar, and article structure are elements…
Morphological Innovation in the Acquisition of American Sign Language.
ERIC Educational Resources Information Center
van Hoek, Karen; And Others
A study examined aspects of the acquisition of spatialized morphology and syntax in American Sign Language (ASL) learned natively by deaf children of deaf parents. Children aged 2 to 8 were shown story books to elicit narratives, and the resulting use of verbs contained morphological forms not appearing in adult grammar. Analysis of the creative…