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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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Cassani, Giovanni; Bianchi, Federico; Marelli, Marco – Cognitive Science, 2021
In this study, we use temporally aligned word embeddings and a large diachronic corpus of English to quantify language change in a data-driven, scalable way, which is grounded in language use. We show a unique and reliable relation between measures of language change and age of acquisition ("AoA") while controlling for frequency,…
Descriptors: English, Language Usage, Language Acquisition, Computational Linguistics
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Reali, Florencia – Cognitive Science, 2017
Multiple constraints, including semantic, lexical, and usage-based factors, have been shown to influence dative alternation across different languages. This work explores whether fine-grained statistics and semantic properties of the verb affect the acceptability of dative constructions in Spanish. First, a corpus analysis reveals that verbs of…
Descriptors: Semantics, Spanish, Language Usage, Language Patterns
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Schouwstra, Marieke; Swart, Henriëtte; Thompson, Bill – Cognitive Science, 2019
Natural languages make prolific use of conventional constituent-ordering patterns to indicate "who did what to whom," yet the mechanisms through which these regularities arise are not well understood. A series of recent experiments demonstrates that, when prompted to express meanings through silent gesture, people bypass native language…
Descriptors: Nonverbal Communication, Language Acquisition, Bayesian Statistics, Preferences
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Montag, Jessica L.; Jones, Michael N.; Smith, Linda B. – Cognitive Science, 2018
The words in children's language learning environments are strongly predictive of cognitive development and school achievement. But how do we measure language environments and do so at the scale of the many words that children hear day in, day out? The quantity and quality of words in a child's input are typically measured in terms of total amount…
Descriptors: Language Acquisition, Vocabulary Development, Linguistic Input, Prediction