Original paper
Localizing syntactic predictions using recurrent neural network grammars
Abstract
Brain activity in numerous perisylvian brain regions is modulated by the expectedness of linguistic stimuli. We leverage recent advances in computational parsing models to test what representations guide the processes reflected by this activity. Recurrent Neural Network Grammars (RNNGs) are generative models of (tree, string) pairs that use neural networks to drive derivational choices. Parsing with them yields a variety of incremental...
Paper Details
Title
Localizing syntactic predictions using recurrent neural network grammars
Published Date
Sep 1, 2020
Journal
Volume
146
Pages
107479 - 107479
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