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

Manuel Bohn, Michael Henry Tessler, Megan Merrick, Michael C Frank
Author Information
  1. Manuel Bohn: Department of Comparative Cultural Psychology, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany. manuel_bohn@eva.mpg.de. ORCID
  2. Michael Henry Tessler: Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA. ORCID
  3. Megan Merrick: Department of Psychology, Stanford University, Stanford, CA, USA.
  4. Michael C Frank: Department of Psychology, Stanford University, Stanford, CA, USA. ORCID

Abstract

Before formal education begins, children typically acquire a vocabulary of thousands of words. This learning process requires the use of many different information sources in their social environment, including their current state of knowledge and the context in which they hear words used. How is this information integrated? We specify a developmental model according to which children consider information sources in an age-specific way and integrate them via Bayesian inference. This model accurately predicted 2-5-year-old children's word learning across a range of experimental conditions in which they had to integrate three information sources. Model comparison suggests that the central locus of development is an increased sensitivity to individual information sources, rather than changes in integration ability. This work presents a developmental theory of information integration during language learning and illustrates how formal models can be used to make a quantitative test of the predictive and explanatory power of competing theories.

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MeSH Term

Bayes Theorem
Child Development
Child, Preschool
Female
Humans
Language Development
Learning
Male
Models, Theoretical
Vocabulary

Word Cloud

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