Word translation based on machine learning models using translation memory and corpora

Authors:
Kiyotaka Uchimoto;Satoshi Sekine;Masaki Murata;Hitoshi Isahara
Affiliations:
Communications Research Laboratory, Hikari-dai, Seika-cho, Soraku-gun, Kyoto, Japan;New York University, New York, NY;Communications Research Laboratory, Hikari-dai, Seika-cho, Soraku-gun, Kyoto, Japan;Communications Research Laboratory, Hikari-dai, Seika-cho, Soraku-gun, Kyoto, Japan
Venue:
SENSEVAL '01 The Proceedings of the Second International Workshop on Evaluating Word Sense Disambiguation Systems
Year:
2001

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Using a support-vector machine for Japanese-to-English translation of tense, aspect, and modality

DMMT '01 Proceedings of the workshop on Data-driven methods in machine translation - Volume 14

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Abstract

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.