OASIcs.LDK.2021.4.pdf
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A Computational Simulation of Children’s Language Acquisition (Crazy New Idea)
Author
Ben Ambridge 
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Volume:
3rd Conference on Language, Data and Knowledge (LDK 2021)
Series: Open Access Series in Informatics (OASIcs)
Conference: Conference on Language, Data and Knowledge (LDK) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2021-08-30
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Ben Ambridge. A Computational Simulation of Children’s Language Acquisition (Crazy New Idea). In 3rd Conference on Language, Data and Knowledge (LDK 2021). Open Access Series in Informatics (OASIcs), Volume 93, pp. 4:1-4:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)
https://doi.org/10.4230/OASIcs.LDK.2021.4
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.
Subject Classification
ACM Subject Classification
- Theory of computation → Grammars and context-free languages
Keywords
- Child language acquisition
- language development
- deep learning
- BERT
- ELMo
- GPT-3
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References
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