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Valentina Gliozzi – Cognitive Science, 2024
We propose a simple computational model that describes potential mechanisms underlying the organization and development of the lexical-semantic system in 18-month-old infants. We focus on two independent aspects: (i) on potential mechanisms underlying the development of taxonomic and associative priming, and (ii) on potential mechanisms underlying…
Descriptors: Infants, Computation, Models, Cognitive Development
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Aislinn Keogh; Simon Kirby; Jennifer Culbertson – Cognitive Science, 2024
General principles of human cognition can help to explain why languages are more likely to have certain characteristics than others: structures that are difficult to process or produce will tend to be lost over time. One aspect of cognition that is implicated in language use is working memory--the component of short-term memory used for temporary…
Descriptors: Language Variation, Learning Processes, Short Term Memory, Schemata (Cognition)
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Jacobs, Cassandra L.; Cho, Sun-Joo; Watson, Duane G. – Cognitive Science, 2019
Syntactic priming in language production is the increased likelihood of using a recently encountered syntactic structure. In this paper, we examine two theories of why speakers can be primed: error-driven learning accounts (Bock, Dell, Chang, & Onishi, 2007; Chang, Dell, & Bock, 2006) and activation-based accounts (Pickering &…
Descriptors: Priming, Syntax, Prediction, Linguistic Theory
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Chang, Franklin; Baumann, Michael; Pappert, Sandra; Fitz, Hartmut – Cognitive Science, 2015
Lexicalized theories of syntax often assume that verb-structure regularities are mediated by lemmas, which abstract over variation in verb tense and aspect. German syntax seems to challenge this assumption, because verb position depends on tense and aspect. To examine how German speakers link these elements, a structural priming study was…
Descriptors: German, Verbs, Priming, Syntax
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Lerner, Itamar; Bentin, Shlomo; Shriki, Oren – Cognitive Science, 2012
Localist models of spreading activation (SA) and models assuming distributed representations offer very different takes on semantic priming, a widely investigated paradigm in word recognition and semantic memory research. In this study, we implemented SA in an attractor neural network model with distributed representations and created a unified…
Descriptors: Priming, Memory, Models, Word Recognition