Example-Based machine translation without saying inferable predicate

Authors:
Eiji Aramaki;Sadao Kurohashi;Hideki Kashioka;Hideki Tanaka
Affiliations:
Graduate School of Information Science and Tech, University of Tokyo, Tokyo, Japan;Graduate School of Information Science and Tech, University of Tokyo, Tokyo, Japan;ATR Spoken Language Translation Research Laboratories, Kyoto, Japan;Science and Technical Research Laboratories of NHK, Tokyo, Japan
Venue:
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Year:
2004

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Abstract

For natural translations, a human being does not express predicates that are inferable from the context in a target language. This paper proposes a method of machine translation which handles these predicates. First, to investigate how to translate them, we build a corpus in which predicate correspondences are annotated manually. Then, we observe the corpus, and find alignment patterns including these predicates. In our experimental results, the machine translation system using the patterns demonstrated the basic feasibility of our approach.