Presentation | 1994/5/13 Automatic Acquisition of Tarnslation Knowledge from Parallel Bilingual Corpus Mihoko Kitamura, Yuji Matsumoto, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Machine translation,which is one of the applications for natural language processing techniques,has become increasingly useful in recent years.However,there is the problem of how we should acquire the information needed for translation,such as grammar rules and lexical rules.This paper presents a method for automatic extraction of necessary information for translation.The process uses both the similarities of word pairs obtained statistically from parallel bilingual corpus and the similarities of subgraphs of dependency trees from parsed parallel sentences.The experimental result using 36,000 sentences shows that this method is useful for obtaining rules and patterns for translation. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Natural Language Processing / parallel corpus / structual alignment / acquistion of translation knowledge / machine translation |
Paper # | NLC94-2 |
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Committee | NLC |
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Conference Date | 1994/5/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Automatic Acquisition of Tarnslation Knowledge from Parallel Bilingual Corpus |
Sub Title (in English) | |
Keyword(1) | Natural Language Processing |
Keyword(2) | parallel corpus |
Keyword(3) | structual alignment |
Keyword(4) | acquistion of translation knowledge |
Keyword(5) | machine translation |
1st Author's Name | Mihoko Kitamura |
1st Author's Affiliation | Graduate School of Information Science,Nara Institute of Science and Technology() |
2nd Author's Name | Yuji Matsumoto |
2nd Author's Affiliation | Graduate School of Information Science,Nara Institute of Science and Technology |
Date | 1994/5/13 |
Paper # | NLC94-2 |
Volume (vol) | vol.94 |
Number (no) | 32 |
Page | pp.pp.- |
#Pages | 8 |
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