Deep neural networks and humans both benefit from compositional language structure

Abstract Deep neural networks drive the success of natural language processing. A fundamental property of language is its compositional structure, allowing humans to systematically produce forms for new meanings. For humans, languages with more compositional and transparent structures are typically...

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Bibliographic Details
Main Authors: Lukas Galke, Yoav Ram, Limor Raviv
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-55158-1
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