Presentation | 1997/7/25 Extracting Kana-alphabet rules from a non-Japanese name reading table Keiko Masuda, Kyoji Umemura, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We have a dictionary that converts alphabet of person names into their corresponding Kana. The correspondence rules between alphabet and Kana are valuable when Japanese people search foreign names. We have tried to extract these rules from the dictionary. In this paper, we propose the algorithm that can extract the rules. Then we have applied the algorithm to the actual data. Finally, we have verified the correctness of the rules against original dictionary. It is remarkable that this algorithm is able to extract rules without any given information of Kana-alphabet correspondence. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | morphology / corpus / statistical processing |
Paper # | NLC97-22 |
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Conference Information | |
Committee | NLC |
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Conference Date | 1997/7/25(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) | Extracting Kana-alphabet rules from a non-Japanese name reading table |
Sub Title (in English) | |
Keyword(1) | morphology |
Keyword(2) | corpus |
Keyword(3) | statistical processing |
1st Author's Name | Keiko Masuda |
1st Author's Affiliation | Umemura Laboratory, Department of Information and Computer Sciences() |
2nd Author's Name | Kyoji Umemura |
2nd Author's Affiliation | Umemura Laboratory, Department of Information and Computer Sciences |
Date | 1997/7/25 |
Paper # | NLC97-22 |
Volume (vol) | vol.97 |
Number (no) | 200 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |