Synthesizing theories of human language with Bayesian program induction

Humans can infer rules for building words in a new language from a handful of examples, and linguists also can infer language patterns across related languages. Here, the authors provide an algorithm which models these grammatical abilities by synthesizing human-understandable programs for building...

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Bibliographic Details
Main Authors: Kevin Ellis, Adam Albright, Armando Solar-Lezama, Joshua B. Tenenbaum, Timothy J. O’Donnell
Format: Article
Language:English
Published: Nature Portfolio 2022-08-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-32012-w