Using Computational Models to Test Syntactic Learnability

Using Computational Models to Test Syntactic Learnability

<jats:title>Abstract</jats:title> <jats:p>We study the learnability of English filler–gap dependencies and the “island” constraints on them by assessing the generalizations made by autoregressive (incremental) language models that use deep learning to predict the ne...

Full description

Bibliographic Details
Main Authors: Wilcox, Ethan Gotlieb, Futrell, Richard, Levy, Roger
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Format: Article
Language:English
Published: MIT Press 2023
Online Access:https://hdl.handle.net/1721.1/150009

Internet

https://hdl.handle.net/1721.1/150009

Similar Items