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How young children integrate information sources to infer the meaning of words

Psychology

How young children integrate information sources to infer the meaning of words

M. Bohn, M. H. Tessler, et al.

Discover how children develop a rich vocabulary before school by integrating various information sources, as revealed by groundbreaking research from Manuel Bohn, Michael Henry Tessler, Megan Merrick, and Michael C. Frank. Their innovative Bayesian inference model sheds light on children's word learning and offers a fresh perspective on language acquisition.

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Playback language: English
Abstract
Before formal education, children acquire a large vocabulary. This involves integrating various information sources. A developmental model using Bayesian inference was created to understand this integration, accurately predicting 2–5-year-olds' word learning across experimental conditions. Model comparison showed that development stems from increased sensitivity to individual information sources, not changes in integration ability. This provides a developmental theory of information integration during language learning and demonstrates how formal models can quantitatively test competing theories.
Publisher
Nature Human Behaviour
Published On
Jul 01, 2021
Authors
Manuel Bohn, Michael Henry Tessler, Megan Merrick, Michael C. Frank
Tags
vocabulary acquisition
Bayesian inference
language development
word learning
cognitive psychology
information integration
child development
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