Learning domain-specific transfer rules

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 errordriven filtering. In an experiment with domainspecific Korean to English translation, the approach yielded substantial improvements over three baseline systems.