An approach to Spanish subjunctive mood in Japanese to Spanish machine translation

Authors:
Manuel Medina González;Hirosato Nomura
Affiliations:
Kyushu Institute of Technology, Fukuoka, Japan;Kyushu Institute of Technology, Fukuoka, Japan
Venue:
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Year:
2007

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Abstract

This paper discusses a model to decide when the predicates of various types of sentences should use Spanish subjunctive mood in Japanese to Spanish machine translation. It consists of a hierarchy for the elements of the sentences and a series of rules applied to them at transfer phase. We compare our results against some commercial machine translation systems. Our experiments show that our model outputs more accurate results, a necessary step to get a fairly good and natural translation.