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Enfield, N. J. – Cognitive Science, 2023
A central concern of the cognitive science of language since its origins has been the concept of the linguistic system. Recent approaches to the system concept in language point to the exceedingly complex relations that hold between many kinds of interdependent systems, but it can be difficult to know how to proceed when "everything is…
Descriptors: Psycholinguistics, Guidelines, Interdisciplinary Approach, Language Research
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Paape, Dario; Avetisyan, Serine; Lago, Sol; Vasishth, Shravan – Cognitive Science, 2021
We present computational modeling results based on a self-paced reading study investigating number attraction effects in Eastern Armenian. We implement three novel computational models of agreement attraction in a Bayesian framework and compare their predictive fit to the data using k-fold cross-validation. We find that our data are better…
Descriptors: Computational Linguistics, Indo European Languages, Grammar, Bayesian Statistics
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Ger, Ebru; You, Guanghao; Küntay, Aylin C.; Göksun, Tilbe; Stoll, Sabine; Daum, Moritz M. – Cognitive Science, 2022
Becoming productive with grammatical categories is a gradual process in children's language development. Here, we investigated this transition process by focusing on Turkish causatives. Previous research examining spontaneous and elicited production of Turkish causatives with familiar verbs attested the onset and early stages of productivity at…
Descriptors: Turkish, Morphology (Languages), Longitudinal Studies, Computational Linguistics
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Lau, Jey Han; Clark, Alexander; Lappin, Shalom – Cognitive Science, 2017
The question of whether humans represent grammatical knowledge as a binary condition on membership in a set of well-formed sentences, or as a probabilistic property has been the subject of debate among linguists, psychologists, and cognitive scientists for many decades. Acceptability judgments present a serious problem for both classical binary…
Descriptors: Grammar, Probability, Sentences, Language Research
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Kolodny, Oren; Lotem, Arnon; Edelman, Shimon – Cognitive Science, 2015
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…
Descriptors: Grammar, Natural Language Processing, Computer Mediated Communication, Graphs
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Ambridge, Ben – Cognitive Science, 2013
A paradox at the heart of language acquisition research is that, to achieve adult-like competence, children must acquire the ability to generalize verbs into non-attested structures, while avoiding utterances that are deemed ungrammatical by native speakers. For example, children must learn that, to denote the reversal of an action,…
Descriptors: Generalization, Comparative Analysis, Verbs, Grammar
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Webber, Bonnie – Cognitive Science, 2004
This paper surveys work on applying the insights of lexicalized grammars to low-level discourse, to show the value of positing an autonomous grammar for low-level discourse in which words (or idiomatic phrases) are associated with discourse-level predicate-argument structures or modification structures that convey their syntactic-semantic meaning…
Descriptors: Grammar, Surveys, Lexicology, Discourse Analysis
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Ferreira, Fernanda; Lau, Ellen F.; Bailey, Karl G. D. – Cognitive Science, 2004
Disfluencies include editing terms such as "uh" and "um" as well as repeats and revisions. Little is known about how disfluencies are processed, and there has been next to no research focused on the way that disfluencies affect structure-building operations during comprehension. We review major findings from both computational linguistics and…
Descriptors: Computational Linguistics, Psycholinguistics, Articulation (Speech), Models
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Reali, Florencia; Christiansen, Morten H. – Cognitive Science, 2005
The poverty of stimulus argument is one of the most controversial arguments in the study of language acquisition. Here we follow previous approaches challenging the assumption of impoverished primary linguistic data, focusing on the specific problem of auxiliary (AUX) fronting in complex polar interrogatives. We develop a series of corpus analyses…
Descriptors: Language Acquisition, Grammar, Sentence Structure, Stimulus Generalization
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Freudenthal, Daniel; Pine, Julian M.; Gobet, Fernand – Cognitive Science, 2006
In this study we use a computational model of language learning called model of syntax acquisition in children (MOSAIC) to investigate the extent to which the optional infinitive (OI) phenomenon in Dutch and English can be explained in terms of a resource-limited distributional analysis of Dutch and English child-directed speech. The results show…
Descriptors: Children, Indo European Languages, English, Syntax