2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/30939This 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 LanguageComputation and LanguageH.3.3; I.2.7Using a Support-Vector Machine for Japanese-to-English Translation of Tense, Aspect, and Modalitytext