Lee Ha Gyu

The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 3, No. 6, pp. 1588-1597, Nov. 1996
10.3745/KIPSTE.1996.3.6.1588,   PDF Download:

Abstract

This paper describes an estimation method for lexical probabilities in Korean lexical disambiguation. In the stochastic approach to lexical disambiguation, lexical probabilities and contextual probabilities are generally estimated on the basis of statistical data extracted from corpora. It is desirable to apply lexical probabilities in terms of word phrases for Korean because sentences are spaced in the unit of word phrase. However, Korean word phrases are so multiform that there are more of less chances that lexical probabilities cannot be estimated directly in terms of word phrases though fairly large corpora are used. To overcome this problem, similarity for word phrases is defined from the lexical analysis point of view in this research and an estimation method for Korean lexical probabilities based in the similarity is proposed. In this method, when a lexical probability for a word parase cannot be estimated directly, it is estimated indirectly through the word phrases similar to the given one. Experimental results show that the proposed approach is effective for Korean lexical disambiguation.

Statistics
Cite this article