Machine translation method using inductive learning with genetic algorithms

Authors:
Hiroshi Echizen-ya;Kenji Araki;Yoshio Momouchi;Koji Tochinai
Affiliations:
Hokkai-Gakuen University, Sapporo, Japan;Hokkai-Gakuen University, Sapporo, Japan;Hokkai-Gakuen University, Sapporo, Japan;Hokkaido University, Sapporo, Japan
Venue:
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Year:
1996

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Abstract

We have proposed a method of machine translation, which acquires translation rules from translation examples using inductive learning, and have evaluated the method. And we have confirmed that the method requires many translation examples. To resolve this problem, we applied genetic algorithms and evaluated it by some experiments. We confirmed that the accuracy rate of translation increased from 52.8% to 61.9% by applying genetic algorithms.