Computational experiments show verb learning benefits in child-directed language likely stem from spoken register properties rather than unique optimization for children.
Evaluating Neural Language Models as Cognitive Models of Language Acquisition
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Proposes CAC prompting to benchmark language models on syntactic and discourse properties of determiners against child acquisition data, finding large models approach but do not match human performance on both.
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Is Child-Directed Language Optimized for Word Learning? A Computational Study of Verb Meaning Acquisition
Computational experiments show verb learning benefits in child-directed language likely stem from spoken register properties rather than unique optimization for children.
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Measuring Form and Function in Language Models
Proposes CAC prompting to benchmark language models on syntactic and discourse properties of determiners against child acquisition data, finding large models approach but do not match human performance on both.