Modelling the acquisition of colour words

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2557, Issue , 2002, Pages 259-271

  Dowman, Mike ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; COMPUTATIONAL LINGUISTICS; INFERENCE ENGINES; MODELING LANGUAGES; NATURAL LANGUAGE PROCESSING SYSTEMS; STATISTICAL TESTS;

BAYESIAN COGNITIVE; BAYESIAN INFERENCE; COGNITIVE MODELLING; INPUT DATAS; NATURAL LANGUAGE PROCESSING; NATURAL LANGUAGES; PROTOTYPE PROPERTIES; RANDOM NOISE;

COLOR;

EID: 84943246581     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-36187-1_23     Document Type: Conference Paper

References (14)

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3. Bloom, P. (2000). How Children Learn the Meanings of Words. MIT Press.
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7. Kay and McDaniel (1978). The Linguistic Significance of the Meanings of Basic Color Terms. Language, Volume 54, Number 3.
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11. Taylor, J. R. (1989). Linguistic Categorization: Prototypes in Linguistic Theory. Oxford University Press.
12. Tenenbaum, J. B. (1999). A Bayesian Framework for Concept Learning. PhD Thesis, MIT.
13. Tenenbaum, J. B. & Xu, F. (2000). Word Learning as Bayesian Inference. In L. R. Gleitman & A. K. Joshi (Eds.) Proceedings of the Twenty-Second Annual Conference of the Cognitive Science Society. Mahwah, NJ: LEA.
14. Thompson, E. (1995). Color Vision: A Study in Cognitive Science and the Philosophy of Perception. New York, NY: Routledge.