Using a Support-Vector Machine for Japanese-to-English Translation of Tense, Aspect, and Modality

Details Using a Support-Vector Machine for Japanese-to-English Translation of Tense, Aspect, and Modality Using a Support-Vector Machine for Japanese-to-English Translation of Tense, Aspect, and Modality

2001-12-05

arxiv.org/abs/cs/0112003v1

ACL Workshop, the Data-Driven Machine Translation, 2001

Computer Science

Computation and Language

8 pages. Computation and Language

Scientific paper

This paper describes experiments carried out using a variety of
machine-learning methods, including the k-nearest neighborhood method that was
used in a previous study, for the translation of tense, aspect, and modality.
It was found that the support-vector machine method was the most precise of all
the methods tested.

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