Children, more than adults, rely on similarity to access multiple meanings of words

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Past research has shown that adults can access multiple meanings for a word, but little work has examined how children process multiple meanings. We tested 48 4- to 7-year-old children and 48 adults in a touchscreen picture recognition task. Two meanings of the same word were displayed on successive trials, which varied according to whether the 2 meanings were unrelated (homonyms), related (polysemes), or repeated (same-meaning). Adults identified the second meaning more quickly than the first in all conditions and to the same extent. Children, however, identified the second meaning more quickly only on polysemy and same-meaning trials. This difference suggests that children are less capable of co-activating unrelated meanings, which raises the possibility that children must learn to do so over development. Despite the ubiquity of polysemy in language, our work is the first to show that children's processing of word representations is organized by similarity.

Original languageEnglish (US)
Title of host publicationProceedings of the 41st Annual Meeting of the Cognitive Science Society
Subtitle of host publicationCreativity + Cognition + Computation, CogSci 2019
PublisherThe Cognitive Science Society
Pages309-315
Number of pages7
ISBN (Electronic)0991196775, 9780991196777
StatePublished - 2019
Event41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019 - Montreal, Canada
Duration: Jul 24 2019Jul 27 2019

Publication series

NameProceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019

Conference

Conference41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019
Country/TerritoryCanada
CityMontreal
Period7/24/197/27/19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

Keywords

  • ambiguity
  • cognitive development
  • development
  • lexical processing
  • polysemy

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