Korean-Chinese Machine Translation Using Three-Stage Verb Pattern Matching

Authors:
Chang Hao Yin;Young Ae Seo;Young-Gil Kim
Affiliations:
NLP Team, Electronics and Telecommunications, Research Institute, Daejon, Korea 305-350;NLP Team, Electronics and Telecommunications, Research Institute, Daejon, Korea 305-350;NLP Team, Electronics and Telecommunications, Research Institute, Daejon, Korea 305-350
Venue:
ICCPOL '09 Proceedings of the 22nd International Conference on Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy
Year:
2009

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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.