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Learning to Associate Object Categories and Label Categories: A Self-Organising Model

Published inProceedings of the 30th Annual Conference of the Cognitive Science Society, Editors Love, B.C.; McRae, K. & Sloutsky, V.M., p. 697-702
Presented at Washington DC, July 23-26, 2008
PublisherAustin, TX : Cognitive Science Society
Publication date2008
Abstract

We present a model of early lexical acquisition. Successful word learning builds on pre-existing, self-organising categorisation capacities and through joint attentional events between the infant and the caregiver. Our model successfully accounts for the emergence of a lexical constraint, taxonomic responding, as well as a steep increase in the rate of acquisition of words, without any need for a new mechanism or rule. We discuss the role played by synapto-genesis in early infancy and pruning at the end of childhood in relation to word learning.

Keywords
  • Early word learning
  • lexical constraints
  • taxonomic responding
  • vocabulary spurt
  • self-organising model
Affiliation Not a UNIGE publication
Citation (ISO format)
MAYOR, Julien, PLUNKETT, Kim. Learning to Associate Object Categories and Label Categories: A Self-Organising Model. In: Proceedings of the 30th Annual Conference of the Cognitive Science Society. Washington DC. Austin, TX : Cognitive Science Society, 2008. p. 697–702.
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  • PID : unige:22694
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