Paper: Machine Translation Method Using Inductive Learning With Genetic Algorithms

ACL ID C96-2178
Title Machine Translation Method Using Inductive Learning With Genetic Algorithms
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1996
Authors

We have proposed a method of ma- chine translation, which acquires trans- lation rules from translation examples using inductive learning, and have eval- uated the method. And we have con- firmed that the method requires many translation examples. To resolve this problem, we applied genetic algorithms to the method. In this paper, we de- scribe our method with genetic algo- rithms and evaluated it by some experi- ments. We confirmed that the accuracy rate of translation increased from 52.8% to 61.9% by applying genetic algorithms.