Presentation 2001/7/9
Finding Translation Correspondences from Parallel Parsed Corpus for Example-based Translation
Eiji Aramaki, Sadao Kurohashi, Satoshi Sato, Hideo Watanabe,
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Abstract(in English) This paper describes a system for finding translation correspondences from parsed parellel corpus that is the paired dependency structures of a source sentence and its translation in a target language. At first, the system we have developed finds correspondences by consulting a source-to-target word dictionary, and then finds the other remaining correspondences based on dependency structure and the balance of all correspondences. The system achieved about 70% coverage and 80% accuracy. For finding correspondences, the fact that the source sentences in parallel corpus correspond suitably with the target sentences, is available. This method can collect more correspondences than a statistical approach.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) bilingual correspondences / parallel corpus / example-based translation
Paper # NLC2001-12
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Committee NLC
Conference Date 2001/7/9(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Finding Translation Correspondences from Parallel Parsed Corpus for Example-based Translation
Sub Title (in English)
Keyword(1) bilingual correspondences
Keyword(2) parallel corpus
Keyword(3) example-based translation
1st Author's Name Eiji Aramaki
1st Author's Affiliation Graduate School of Informatics, Kyoto University()
2nd Author's Name Sadao Kurohashi
2nd Author's Affiliation Graduate School of Information Science and Technology, the University of Tokyo
3rd Author's Name Satoshi Sato
3rd Author's Affiliation Graduate School of Informatics, Kyoto University
4th Author's Name Hideo Watanabe
4th Author's Affiliation IBM Research, Tokyo Research Laboratory
Date 2001/7/9
Paper # NLC2001-12
Volume (vol) vol.101
Number (no) 189
Page pp.pp.-
#Pages 8
Date of Issue