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Realizing Target Language Generation in Data-Oriented English-Chinese Machine Translation

This paper presents a kind of target language generation mechanism in data-oriented English-Chinese machine translation. This mechanism applies the theory of data-oriented parsing used in language analysis traditionally into target language generation equally. Through linearizing the result of source language analysis - a parse tree, the final translation in target language is generated. To prove the efficiency of the proposed method, the knowledge source is constructed based on the real-world English corpus, and the other real-world English corpus is used as the test set. The experiment result shows that the quality of translation in target language is satisfactory