Measuring and predicting orthographic associations: modelling the similarity of Japanese kanji

Authors:
Lars Yencken;Timothy Baldwin
Affiliations:
University of Melbourne;University of Melbourne
Venue:
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Year:
2008

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Abstract

As human beings, our mental processes for recognising linguistic symbols generate perceptual neighbourhoods around such symbols where confusion errors occur. Such neighbourhoods also provide us with conscious mental associations between symbols. This paper formalises orthographic models for similarity of Japanese kanji, and provides a proof-of-concept dictionary extension leveraging the mental associations provided by orthographic proximity.