Recently, the machine translation has been used in various web pages such as google and facebook, hoping to connect people, and documents written in various languages. The problems, however, still remains in the quality of the translated sentences. While the problems occur both syntactically and semantically, the choice of the translation word is the crucial part of the translation where the meaning of the sentence is dependent upon. This research aims to enhance the machine translation system, by applying machine learning to find the optimal translation word during the process of translation.

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