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Word Translation Based on Machine Learning Models Using Translation Memory and Corpora

By Kiyotaka Uchimotot, Satoshi Sekinet, Masaki Muratat and Hitoshi Isaharat


SENSEVAL-2 was held in Spring, 2001. It consisted of several tasks in various languages. In this paper, we describe our system used for one of these tasks: the Japanese translation task. With an accuracy of 63.4%, our system was the third best system in the contest among nine systems developed by seven groups.

Year: 2012
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