Generalizing Without Evidence: How Transformer Models Infer Syntactic Rules From Sparse Input

Mark van den Hoorn, Raquel G. Alhama

Keywords: First Language Acquisition, Grammar Acquisition, Computational Modeling

TL;DR: Computational Modeling of children's language learning shows that grammatical categories can be learned without varied input and before productive use is possible.

Submission Number: 53