Acquisition of phrase-level bilingual correspondence using dependency structure

Authors:
Kaoru Yamamoto;Yuji Matsumoto
Affiliations:
Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan;Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan
Venue:
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Year:
2000

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Abstract

This paper describes a method to find phrase-level translation patterns from parallel corpora by applying dependency structure analysis. We use statistical dependency parsers to determine dependency relations between base phrases in a sentence. Our method is tested with a business expression corpus containing 10000 English-Japanese sentence pairs and achieved approximately 90% accuracy in extracting bilingual correspondences. The result shows that the use of dependency relation helps to acquire interesting translation patterns.