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Eva Portelance; Michael C. Frank; Dan Jurafsky – Cognitive Science, 2024
Interpreting a seemingly simple function word like "or," "behind," or "more" can require logical, numerical, and relational reasoning. How are such words learned by children? Prior acquisition theories have often relied on positing a foundation of innate knowledge. Yet recent neural-network-based visual question…
Descriptors: Vocabulary, Grammar, Visual Aids, Language Acquisition
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Ramotowska, Sonia; Steinert-Threlkeld, Shane; Maanen, Leendert; Szymanik, Jakub – Cognitive Science, 2023
According to logical theories of meaning, a meaning of an expression can be formalized and encoded in truth conditions. Vagueness of the language and individual differences between people are a challenge to incorporate into the meaning representations. In this paper, we propose a new approach to study truth-conditional representations of vague…
Descriptors: Computation, Models, Semantics, Decision Making
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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
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Verheyen, Steven; Égré, Paul – Cognitive Science, 2018
This paper concerns an investigation of the manner in which typicality constrains graded membership in antonymous dimensional adjectives such as "short/tall" and "cheap/expensive" using the conceptual spaces framework. In this framework, items are organized in a space comprised of one or more dimensions along which they can be…
Descriptors: Models, Comparative Analysis, Prediction, Group Membership
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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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Smith, Garrett; Franck, Julie; Tabor, Whitney – Cognitive Science, 2018
We present a self-organizing approach to sentence processing that sheds new light on notional plurality effects in agreement attraction, using pseudopartitive subject noun phrases (e.g., "a bottle of pills"). We first show that notional plurality ratings (numerosity judgments for subject noun phrases) predict verb agreement choices in…
Descriptors: Sentence Structure, Sentences, Grammar, Form Classes (Languages)
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Runner, Jeffrey T.; Sussman, Rachel S.; Tanenhaus, Michael K. – Cognitive Science, 2006
Binding theory (e.g., Chomsky, 1981) has played a central role in both syntactic theory and models of language processing. Its constraints are designed to predict that the referential domains of pronouns and reflexives are nonoverlapping, that is, are complementary; these constraints are also thought to play a role in online reference resolution.…
Descriptors: Language Processing, Nouns, Eye Movements, Form Classes (Languages)