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

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 proofof-concept dictionary extension leveraging the mental associations provided by orthographic proximity.

• Type: Journal
• Year: 2008
• Where: COLING
• Authors: Lars Yencken, Timothy Baldwin
• Keywords: COLING 2008, Computational Linguistics, Conscious Mental Associations, Linguistic Symbols, Mental Associations