A hybrid approach to interactive machine translation: integrating rule-based, corpus-based, and example-based method

Authors:
Kiyoshi Yamabana;Shin-ichiro Kamei;Kazunori Muraki;Shinichi Doi;Shinko Tamura;Kenji Satoh
Affiliations:
NEC Research Institute and Information Technology Research Laboratories, NEC Corporation, Miyamae-ku, Kawasaki, Japan;Information Technology Research Laboratories, NEC Corporation, Miyamae-ku, Kawasaki, Japan;Information Technology Research Laboratories, NEC Corporation, Miyamae-ku, Kawasaki, Japan;Information Technology Research Laboratories, NEC Corporation, Miyamae-ku, Kawasaki, Japan;Information Technology Research Laboratories, NEC Corporation, Miyamae-ku, Kawasaki, Japan;Information Technology Research Laboratories, NEC Corporation, Miyamae-ku, Kawasaki, Japan
Venue:
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Year:
1997

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Review Article: Example-based Machine Translation

Machine Translation

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Abstract

In order to rank the performance of machine learning algorithms, many researchers conduct experiments on benchmark data sets. Since most learning algorithms have domain-specific parameters, it is a popular custom to adapt these parameters to obtain a ...