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  1. Using Statistical Models of Morphology in the Search for Optimal Units of Representation in the Human Mental Lexicon.Sami Virpioja, Minna Lehtonen, Annika Hultén, Henna Kivikari, Riitta Salmelin & Krista Lagus - 2018 - Cognitive Science 42 (3):939-973.
    Determining optimal units of representing morphologically complex words in the mental lexicon is a central question in psycholinguistics. Here, we utilize advances in computational sciences to study human morphological processing using statistical models of morphology, particularly the unsupervised Morfessor model that works on the principle of optimization. The aim was to see what kind of model structure corresponds best to human word recognition costs for multimorphemic Finnish nouns: a model incorporating units resembling linguistically defined morphemes, a whole-word model, or a (...)
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  • Productivity of Noun Slots in Verb Frames.Anna L. Theakston, Paul Ibbotson, Daniel Freudenthal, Elena V. M. Lieven & Michael Tomasello - 2015 - Cognitive Science 39 (6):1369-1395.
    Productivity is a central concept in the study of language and language acquisition. As a test case for exploring the notion of productivity, we focus on the noun slots of verb frames, such as __want__, __see__, and __get__. We develop a novel combination of measures designed to assess both the flexibility and creativity of use in these slots. We do so using a rigorously controlled sample of child speech and child directed speech from three English-speaking children between the ages of (...)
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  • Neglected Factors Bearing on Reaction Time in Language Production.Tobias Scheer & Fabien Mathy - 2021 - Cognitive Science 45 (10):13050.
    The input to phonological reasoning are alternations, that is, variations in the pronunciation of related words, such as in electri[k] ‐ electri[s]‐ity. But phonologists cannot agree what counts as a relevant alternation: the issue is highly contentious despite a research record of over 50 years. We believe that the experimental setup presented may contribute to this debate based on a kind of evidence that was not brought to bear to date. Our experiment was thus designed to distinguish between alternations where (...)
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  • What makes a language easy to learn? A preregistered study on how systematic structure and community size affect language learnability.Limor Raviv, Marianne de Heer Kloots & Antje Meyer - 2021 - Cognition 210 (C):104620.
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  • Gesture or sign? A categorization problem.Corrine Occhino & Sherman Wilcox - 2017 - Behavioral and Brain Sciences 40.
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  • Does morphological complexity affect word segmentation? Evidence from computational modeling.Georgia Loukatou, Sabine Stoll, Damian Blasi & Alejandrina Cristia - 2022 - Cognition 220 (C):104960.
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  • Morphology and Memory: Toward an Integrated Theory.Ray Jackendoff & Jenny Audring - 2020 - Topics in Cognitive Science 12 (1):170-196.
    Framed in psychological terms, the basic question of linguistic theory is what is stored in memory, and in what form. Traditionally, what is stored is divided into grammar and lexicon, where grammar contains the rules and the lexicon is an unstructured list of exceptions. We develop an alternative view in which rules of grammar are simply lexical items that contain variables, and in which rules have two functions. In their generative function, they are used to build novel structures, just as (...)
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  • Variation, change and constructions in English.Thomas Hoffmann & Graeme Trousdale - 2011 - Cognitive Linguistics 22 (1):1-23.
    All human languages are characterised by inherent synchronic variability (Hudson, Cognitive Linguistics 8: 73–108, 1997, English Language and Linguistics 11: 383–405, 2007a) and are subject to change over time. Consequently, due to this central role of variation and change, any explanatorily adequate cognitive theory of language should aim to account for both of these phenomena. The present special issue explores how usage-based Construction Grammars can address issues of linguistic variation and change. In particular, focusing on English, we will show how (...)
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  • A Dynamic Network Approach to the Study of Syntax.Holger Diessel - 2020 - Frontiers in Psychology 11.
    Usage-based linguists and psychologists have produced a large body of empirical results suggesting that linguistic structure is derived from language use. However, while researchers agree that these results characterize grammar as an emergent phenomenon, there is no consensus among usage-based scholars as to how the various results can be explained and integrated into an explicit theory or model. Building on network theory, the current paper outlines a structured network approach to the study of grammar in which the core concepts of (...)
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  • Topological Self‐Organization and Prediction Learning Support Both Action and Lexical Chains in the Brain.Fabian Chersi, Marcello Ferro, Giovanni Pezzulo & Vito Pirrelli - 2014 - Topics in Cognitive Science 6 (3):476-491.
    A growing body of evidence in cognitive psychology and neuroscience suggests a deep interconnection between sensory-motor and language systems in the brain. Based on recent neurophysiological findings on the anatomo-functional organization of the fronto-parietal network, we present a computational model showing that language processing may have reused or co-developed organizing principles, functionality, and learning mechanisms typical of premotor circuit. The proposed model combines principles of Hebbian topological self-organization and prediction learning. Trained on sequences of either motor or linguistic units, the (...)
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  • What corpus-based Cognitive Linguistics can and cannot expect from neurolinguistics.Alice Blumenthal-Dramé - 2016 - Cognitive Linguistics 27 (4):493-505.
    This paper argues that neurolinguistics has the potential to yield insights that can feed back into corpus-based Cognitive Linguistics. It starts by discussing how far the cognitive realism of probabilistic statements derived from corpus data currently goes. Against this background, it argues that the cognitive realism of usage-based models could be further enhanced through deeper engagement with neurolinguistics, but also highlights a number of common misconceptions about what neurolinguistics can and cannot do for linguistic theorizing.
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