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A Word Sense Disambiguation Method Using Bilingual Corpus

This paper proposes a word sense disambiguation (WSD) method using bilingual corpus in English-Chinese machine translation system. A mathematical model is constructed to disambiguate word in terms of context phrasal collocation. A rules learning algorithm is proposed, and an application algorithm of the learned rules is also provided, which can increase the recall ratio. Finally, an analysis is given by an experiment on the algorithm. Its application gives an increase of 10% in precision.