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Stephen Ferrigno; Samuel J. Cheyette; Susan Carey – Cognitive Science, 2025
Complex sequences are ubiquitous in human mental life, structuring representations within many different cognitive domains--natural language, music, mathematics, and logic, to name a few. However, the representational and computational machinery used to learn abstract grammars and process complex sequences is unknown. Here, we used an artificial…
Descriptors: Sequential Learning, Cognitive Processes, Knowledge Representation, Training
Brehm, Laurel; Cho, Pyeong Whan; Smolensky, Paul; Goldrick, Matthew A. – Cognitive Science, 2022
Subject-verb agreement errors are common in sentence production. Many studies have used experimental paradigms targeting the production of subject-verb agreement from a sentence preamble ("The key to the cabinets") and eliciting verb errors (… "*were shiny"). Through reanalysis of previous data (50 experiments; 102,369…
Descriptors: Sentences, Sentence Structure, Grammar, Verbs
Lutken, C. Jane; Legendre, Géraldine; Omaki, Akira – Cognitive Science, 2020
Previous work has reported that children creatively make syntactic errors that are ungrammatical in their target language, but are grammatical in another language. One of the most well-known examples is "medial wh-question" errors in English-speaking children's wh-questions (e.g., "What do you think who the cat chased?" from…
Descriptors: Syntax, Creativity, Error Patterns, Children
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
Theakston, Anna L.; Ibbotson, Paul; Freudenthal, Daniel; Lieven, Elena V. M.; Tomasello, Michael – Cognitive Science, 2015
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…
Descriptors: Nouns, Verbs, Creativity, Semantics

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