Presentation | 1999/7/23 Integrated Japanese Dependency Analysis using Rules and Corpus Hiroyuki Takahasi, Masahiro Miyazaki, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | It is necessary to improve dependency analysis of Japanese subordinate clauses for precise analysis of long sentences. This paper proposes a integrated approach using rule-basted method and corpus-based statistical method. As for extraction of statistical information from corpus, we don't use any classification of clauses preventing risk of biased classification, but uses its appearance directly. We integrate rule-based method and corpus-based statistical method, selecting suitable method between two methods according as raliability of each result. Using this method, the experment shows that accuracy of the dependency relation between clauses is improved. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | dependency analysis / Japanese subordinate clause / statistical analysis / rule-based analysis |
Paper # | NLC99-16 |
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Conference Information | |
Committee | NLC |
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Conference Date | 1999/7/23(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) | Integrated Japanese Dependency Analysis using Rules and Corpus |
Sub Title (in English) | |
Keyword(1) | dependency analysis |
Keyword(2) | Japanese subordinate clause |
Keyword(3) | statistical analysis |
Keyword(4) | rule-based analysis |
1st Author's Name | Hiroyuki Takahasi |
1st Author's Affiliation | The graduate school of Science and Technology, Niigata University() |
2nd Author's Name | Masahiro Miyazaki |
2nd Author's Affiliation | The graduate school of Science and Technology, Niigata University |
Date | 1999/7/23 |
Paper # | NLC99-16 |
Volume (vol) | vol.99 |
Number (no) | 228 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |