A computational simulation of children's language acquisition

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Many modern NLP models are already close to simulating children's language acquisition; the main thing they currently lack is a “real world” representation of semantics that allows them to map from form to meaning and vice-versa. The aim of this “Crazy Idea” is to spark a discussion about how we might get there.
Original languageEnglish
Title of host publicationOpenAccess Series in Informatics
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Print)9783959771993
DOIs
Publication statusPublished - 1 Aug 2021

Publication series

NameOpenAccess Series in Informatics
Volume93

Keywords

  • BERT
  • Child language acquisition
  • Deep learning
  • ELMo
  • GPT-3
  • Language development

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