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Erin Conwell; Jesse Snedeker – Language Learning and Development, 2024
Natural languages contain systematic relationships between verb meaning and verb argument structure. Artificial language learning studies typically remove those relationships and instead pair verb meanings randomly with structures. Adult participants in such studies can detect statistical regularities associated with words in these languages and…
Descriptors: Semantics, Cues, Verbs, Adults
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Austin, Alison C.; Schuler, Kathryn D.; Furlong, Sarah; Newport, Elissa L. – Language Learning and Development, 2022
When linguistic input contains inconsistent use of grammatical forms, children produce these forms more consistently, a process called "regularization." Deaf children learning American Sign Language from parents who are non-native users of the language regularize their parents' inconsistent usages. In studies of artificial languages…
Descriptors: Linguistic Input, Deafness, Age Differences, Language Acquisition
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Schuler, Kathryn D.; Reeder, Patricia A.; Newport, Elissa L.; Aslin, Richard N. – Language Learning and Development, 2017
Successful language acquisition hinges on organizing individual words into grammatical categories and learning the relationships between them, but the method by which children accomplish this task has been debated in the literature. One proposal is that learners use the shared distributional contexts in which words appear as a cue to their…
Descriptors: Artificial Languages, Grammar, Classification, Word Frequency
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Hudson Kam, Carla L. – Language Learning and Development, 2019
The phenomenon of regularization -- learners imposing systematicity on inconsistent variation in language input -- is complex. Studies show that children are more likely to regularize than adults, but adults will also regularize under certain circumstances. Exactly why we see the pattern of behaviour that we do is not well understood, however.…
Descriptors: Language Variation, Linguistic Input, Interference (Learning), Language Acquisition