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Wellwood, Alexis; Gagliardi, Annie; Lidz, Jeffrey – Language Learning and Development, 2016
Acquiring the correct meanings of words expressing quantities ("seven, most") and qualities ("red, spotty") present a challenge to learners. Understanding how children succeed at this requires understanding, not only of what kinds of data are available to them, but also the biases and expectations they bring to the learning…
Descriptors: Syntax, Computational Linguistics, Task Analysis, Prediction
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Rabagliati, Hugh; Pylkkanen, Liina; Marcus, Gary F. – Developmental Psychology, 2013
Language is rife with ambiguity. Do children and adults meet this challenge in similar ways? Recent work suggests that while adults resolve syntactic ambiguities by integrating a variety of cues, children are less sensitive to top-down evidence. We test whether this top-down insensitivity is specific to syntax or a general feature of children's…
Descriptors: Ambiguity (Semantics), Syntax, Psycholinguistics, Infants
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Wonnacott, Elizabeth – Journal of Memory and Language, 2011
Successful language acquisition involves generalization, but learners must balance this against the acquisition of lexical constraints. Such learning has been considered problematic for theories of acquisition: if learners generalize abstract patterns to new words, how do they learn lexically-based exceptions? One approach claims that learners use…
Descriptors: Child Language, Artificial Languages, Generalization, Inferences
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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