Paper: An Improvement In The Selection Process Of Machine Translation Using Inductive Learning With Genetic Algorithms

ACL ID A97-2006
Title An Improvement In The Selection Process Of Machine Translation Using Inductive Learning With Genetic Algorithms
Venue Applied Natural Language Processing Conference
Session Main Conference
Year 1997
Authors

We proposed a method of machine transla- tion using inductive learning with genetic algorithms, and confirmed the effectiveness of applying genetic algorithms. However, the system based on this method produces many erroneous translation rules that can- not be completely removed from the dictio- nary. Therefore, we need to improve how to apply genetic algorithms to be able to re- move erroneous translation rules from the dictionary. In this paper, we describe this improvement in the selection process and the results of evaluation experiments.