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

Murata, Masaki; Uchimoto, Kiyotaka; Ma, Qing; Isahara, Hitoshi

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

Authors

Description

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.
8 pages. Computation and Language