| Presentation | 1996/7/18 Automatic Extraction of Translation Patterns in Pararell Corpora Mihoko Kitamura, Yuji Matsumoto, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper proposes a method of finding correspondences of arbitrary length word sequences in aligned parallel corpora of Japanese and English. Translation candidates of word sequences are evaluated by a similarity measure between the sequences defined by the co-occurrence frequency and independent frequency of the word sequences. The similarity measure is an extension of Dice coefficient. An iterative method with gradual threshold lowering is proposed for getting a high quality translation dictionary. The method is tested with parallel corpora of three distinct domains and achieved over 80% accuracy. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | statistical based NLP / parallel corpus / machine translation / translation patterns / word similarity |
| Paper # | NLC96-19 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 1996/7/18(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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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 Extraction of Translation Patterns in Pararell Corpora |
| Sub Title (in English) | |
| Keyword(1) | statistical based NLP |
| Keyword(2) | parallel corpus |
| Keyword(3) | machine translation |
| Keyword(4) | translation patterns |
| Keyword(5) | word similarity |
| 1st Author's Name | Mihoko Kitamura |
| 1st Author's Affiliation | Oki Electric Industory Co., Ltd. Kansai Laboratory, Reseach & Development Group() |
| 2nd Author's Name | Yuji Matsumoto |
| 2nd Author's Affiliation | Nara Institute of Science and Technology Graduate School of Information Science |
| Date | 1996/7/18 |
| Paper # | NLC96-19 |
| Volume (vol) | vol.96 |
| Number (no) | 157 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |