Title: Language translation selection method based on word model
Abstract: Machine translation is the process of transforming one kind of natural language to another kind of natural language. Translation selection is a key problem and remains an open field. Based on Information theory and computational linguistics, our method tries to resolve the word selection by the information of Japanese word analysis and language model. The translation selection experience for a Japanese-Chinese machine translation system proves the satisfactory performance of this method. Its characteristic lies in that the method improves distinctly the quality of word selection in Japanese - Chinese translation taking advantage of Japanese analysis syntax information.
Publication Year: 2004
Publication Date: 2004-01-01
Language: en
Type: article
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