Language and Information (한국언어정보학회지:언어와정보)
- Volume 8 Issue 1
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- Pages.101-116
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- 2004
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- 1226-7430(pISSN)
A Statistical Model for Choosing the Best Translation of Prepositions.
통계 정보를 이용한 전치사 최적 번역어 결정 모델
Abstract
This paper proposes a statistical model for the translation of prepositions in English-Korean machine translation. In the proposed model, statistical information acquired from unlabeled Korean corpora is used to choose the best translation from several possible translations. Such information includes functional word-verb co-occurrence information, functional word-verb distance information, and noun-postposition co-occurrence information. The model was evaluated with 443 sentences, each of which has a prepositional phrase, and we attained 71.3% accuracy.
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