Depth-Bounded Statistical PCFG Induction as a Model of Human Grammar Acquisition

Depth-Bounded Statistical PCFG Induction as a Model of Human Grammar Acquisition

AbstractThis article describes a simple PCFG induction model with a fixed category domain that predicts a large majority of attested constituent boundaries, and predicts labels consistent with nearly half of attested constituent labels on a standard evaluation data set of child-direc...

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Bibliographic Details
Main Authors: Lifeng Jin, Lane Schwartz, Finale Doshi-Velez, Timothy Miller, William Schuler
Format: Article
Language:English
Published: The MIT Press 2021-03-01
Series:Computational Linguistics
Online Access:https://direct.mit.edu/coli/article/47/1/181/97336/Depth-Bounded-Statistical-PCFG-Induction-as-a

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https://direct.mit.edu/coli/article/47/1/181/97336/Depth-Bounded-Statistical-PCFG-Induction-as-a

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