Presentation | 2003/8/22 Direct Machine Translation Using Linguistic Similarities Kyonghee PAIK, Hiromi NAKAIWA, Satoshi SHIRAI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Conventional approaches to machine translation require many linguistic resources either as transfer rules or parallel corpora. However, we are attempting to measure how little knowledge can be used for machine translation between similar languages, starting off with only a transfer dictionary and a target language corpus. The proposed method of machine translation exploits the linguistic similarities to achieve acceptable translation with low cost. We introduce Japanese to Korean machine translation as a case study. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Japanese / Korean / machine translation / monolingual corpus / transfer lexicon |
Paper # | NLC2003-21 |
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Committee | NLC |
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Conference Date | 2003/8/22(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (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) | Direct Machine Translation Using Linguistic Similarities |
Sub Title (in English) | |
Keyword(1) | Japanese |
Keyword(2) | Korean |
Keyword(3) | machine translation |
Keyword(4) | monolingual corpus |
Keyword(5) | transfer lexicon |
1st Author's Name | Kyonghee PAIK |
1st Author's Affiliation | ATR Spoken Language Translation Laboratories() |
2nd Author's Name | Hiromi NAKAIWA |
2nd Author's Affiliation | ATR Spoken Language Translation Laboratories / |
3rd Author's Name | Satoshi SHIRAI |
3rd Author's Affiliation | |
Date | 2003/8/22 |
Paper # | NLC2003-21 |
Volume (vol) | vol.103 |
Number (no) | 280 |
Page | pp.pp.- |
#Pages | 6 |
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