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Trott, Sean; Jones, Cameron; Chang, Tyler; Michaelov, James; Bergen, Benjamin – Cognitive Science, 2023
Humans can attribute beliefs to others. However, it is unknown to what extent this ability results from an innate biological endowment or from experience accrued through child development, particularly exposure to language describing others' mental states. We test the viability of the language exposure hypothesis by assessing whether models…
Descriptors: Models, Language Processing, Beliefs, Child Development
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Kachergis, George; Yu, Chen; Shiffrin, Richard M. – Cognitive Science, 2017
Prior research has shown that people can learn many nouns (i.e., word--object mappings) from a short series of ambiguous situations containing multiple words and objects. For successful cross-situational learning, people must approximately track which words and referents co-occur most frequently. This study investigates the effects of allowing…
Descriptors: Vocabulary Development, Linguistic Theory, Context Effect, Familiarity
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Henny Yeung, H.; Bhatara, Anjali; Nazzi, Thierry – Cognitive Science, 2018
Perceptual grouping is fundamental to many auditory processes. The Iambic-Trochaic Law (ITL) is a default grouping strategy, where rhythmic alternations of duration are perceived iambically (weak-strong), while alternations of intensity are perceived trochaically (strong-weak). Some argue that the ITL is experience dependent. For instance, French…
Descriptors: Language Rhythm, Phonology, Acoustics, French
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Alishahi, Afra; Stevenson, Suzanne – Cognitive Science, 2008
How children go about learning the general regularities that govern language, as well as keeping track of the exceptions to them, remains one of the challenging open questions in the cognitive science of language. Computational modeling is an important methodology in research aimed at addressing this issue. We must determine appropriate learning…
Descriptors: Semantics, Verbs, Linguistics, Cognitive Psychology