Tag Archives: UNC Department of Linguistics

Seminar: Neural networks as cognitive models of syntax

Speakers of a language generalize their knowledge of syntax in a systematic way to constructions they have never encountered before. This observation has motivated the influential position in linguistics that humans are innately endowed with syntax-specific inductive biases. The applied success of deep learning systems that are not designed with such biases invites a reconsideration […]

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