Paper: Measuring and Predicting Orthographic Associations: Modelling the Similarity of Japanese Kanji

ACL ID C08-1131
Title Measuring and Predicting Orthographic Associations: Modelling the Similarity of Japanese Kanji
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2008
Authors

As human beings, our mental processes for recognising linguistic symbols gen- erate perceptual neighbourhoods around such symbols where confusion errors oc- cur. Such neighbourhoods also pro- vide us with conscious mental associa- tions between symbols. This paper for- malises orthographic models for similarity of Japanese kanji, and provides a proof- of-concept dictionary extension leveraging the mental associations provided by ortho- graphic proximity.