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Learning colour words is slow: A cross-situational learning account

Published online by Cambridge University Press:  26 September 2005

Paul Vogt  and
Andrew D. M. Smith
Paul Vogt*
Affiliation:
Language Evolution and Computation Research Unit, School of Philosophy, Psychology, and Language Sciences, University of Edinburgh, Edinburgh EH8 9LL, United Kingdomhttp://www.ling.ed.ac.uk/~paulvhttp://www.ling.ed.ac.uk/~andrew Induction of Linguistic Knowledge, Computational Linguistics, Tilburg University, 5000 LE Tilburg, The Netherlands
Andrew D. M. Smith*
Affiliation:
Language Evolution and Computation Research Unit, School of Philosophy, Psychology, and Language Sciences, University of Edinburgh, Edinburgh EH8 9LL, United Kingdomhttp://www.ling.ed.ac.uk/~paulvhttp://www.ling.ed.ac.uk/~andrew
*
paulv@ling.ed.ac.uk
andrew@ling.ed.ac.uk
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Abstract

Research into child language reveals that it takes a long time for children to learn the correct mapping of colour words. Steels & Belpaeme’s (S&B’s) guessing game, however, models fast learning of words. We discuss computational studies based on cross-situational learning, which yield results that are more consistent with the empirical child language data than those obtained by S&B.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 28 , Issue 4 , August 2005 , pp. 509 - 510
Copyright
Copyright © Cambridge University Press 2005

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