Learning domain-specific transfer rules: an experiment with Korean to English translation

Authors:
Benoit Lavoie;Michael White;Tanya Korelsky
Affiliations:
CoGenTex, Inc., Ithaca, NY;CoGenTex, Inc., Ithaca, NY;CoGenTex, Inc., Ithaca, NY
Venue:
COLING-MTIA '02 Proceedings of the 2002 COLING workshop on Machine translation in Asia - Volume 16
Year:
2002

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Abstract

We describe the design of an MT system that employs transfer rules induced from parsed bitexts and present evaluation results. The system learns lexico-structural transfer rules using syntactic pattern matching, statistical co-occurrence and error-driven filtering. In an experiment with domain-specific Korean to English translation, the approach yielded substantial improvements over three baseline systems.