Self-Organizing Chinese and Japanese Semantic Maps

This paper describes a corpus-based connectionist approach to the development of self-organizing Chinese and Japanese semantic maps, proposing an improved coding method using TFIDF term-weighting and newly introducing a numerical evaluation for objectively judging the results. The adaption of TFIDF term-weighting is proved to be effective by experimental comparisons with five other coding methods. The effectiveness and necessity of the proposed method for creating semantic maps are clarified by comparisons with a conventional clustering technique and multivariate statistical analysis.

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