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4 篇文献
 
Sparse Population Code Models of Word Learning in Concept Drift  
Computational modeling has served a powerful tool for studying cross-situational word learning. Previous research has focused on convergence behaviors in a static environment, ignoring dynamic cogniti......
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Concurrent Acquisition of Word Meaning and Lexical Categories  
Learning the meaning of words from ambiguous and noisy context is a challenging task for language learners. It has been suggested that children draw on syntactic cues such as lexical categories of wor......
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Fields: Artificial Intelligence, Human-Computer Interaction, Computational Linguistics, Computa- tional Vision, Cognitive Science, Statistical Learning, Computational Lexicography, Corpus Linguistics. • Research Focus: Lexical Semantics and the Syntax-Semantics Interface, Statistical Corpus Analysis, Computational Models of Figurative Langauge, Computational Models of Child Language Acquisition, Automatic Object Annotation  
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Interaction of Word Learning and Semantic Category Formation in Late Talking  
Late talkers (LTs) — children who show a marked delay in vocabulary learning — have also been shown to differ from normally-developing (ND) children with respect to the semantic organization of their......
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