Korean-Chinese machine translation using three-stage verb pattern matching

Abstract

In this paper, we describe three-stage pattern matching approach and an effective pattern construction process in the Korean-Chinese Machine Translation System for technical documents. We automatically extracted about 100,000 default verb patterns and about 10,000 default ordering patterns from the existing patterns. With the new three-stage approach, additionally using default verb and ordering patterns, the matching hit rate increases 3.8% , comparing with one-stage approach. © 2009 Springer Berlin Heidelberg.