Presentation | 1999/7/23 Japanese Word Segmentation Using Textual Analysis for Full Text Search Yasuki IIZUKA, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper presents a word segmentation method based on a textual analysis. This method does not require any dictionary. The proposed method consists of two steps. The first step is building list of words by filtering string clusters devided by heuristic rules. These heuristic rules mainly utilyzes character types. The second step is segmenting texts based on the extracted word list and the other heuristic rules. The score of evaluation experiment is 90.2% precision and 85.5% recall. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | word extraction / word segmentation / corpus / heuristic rule |
Paper # | NLC99-14 |
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Conference Information | |
Committee | NLC |
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Conference Date | 1999/7/23(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
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) | Japanese Word Segmentation Using Textual Analysis for Full Text Search |
Sub Title (in English) | |
Keyword(1) | word extraction |
Keyword(2) | word segmentation |
Keyword(3) | corpus |
Keyword(4) | heuristic rule |
1st Author's Name | Yasuki IIZUKA |
1st Author's Affiliation | Multimedia Systems Research Laboratory Matsushita Electric Industrial Co., Ltd.() |
Date | 1999/7/23 |
Paper # | NLC99-14 |
Volume (vol) | vol.99 |
Number (no) | 228 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |