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Bilingual Knowledge Extraction Using Chunk Alignment
http://hdl.handle.net/2065/566
http://hdl.handle.net/2065/566fef10861-6c24-4caf-82f6-f3b22a7728f6
名前 / ファイル | ライセンス | アクション |
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oral-10.pdf (716.9 kB)
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Item type | 会議発表論文 / Conference Paper(1) | |||||
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公開日 | 2008-04-28 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Bilingual Knowledge Extraction Using Chunk Alignment | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||
資源タイプ | conference paper | |||||
著者 |
Hwang, Young-Sook
× Hwang, Young-Sook× Paik, Kyonghee× 佐々木, 裕 |
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著者別名 |
Sasaki, Yutaka
× Sasaki, Yutaka |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | In this paper, we propose a new method for effectively acquiring bilingual knowledge by exploiting the dependency relations among the aligned chunks and words. We use a monolingual dependency parser to automatically obtain dependency parses of target language using chunk and word alignment. For reducing the computational complexity of structural alignment, we use a bilingual dictionary and adopt a divide-and-conquer strategy. By sharing the dependency relations of a given source sentence, we automatically obtain a dependency parse of a target sentence that is structurally consistent with the source sentence. Moreover, we extract bilingual knowledge bases from translation correspondences of singletons to surface verb subcategorization patterns by exploiting the bilingual dependency relations. To acquire reliable ones, we take a stepwise filtering method based on statistical test. | |||||
書誌情報 | p. 127-138, 発行日 2005-11-16 | |||||
件名 | ||||||
主題Scheme | NDC | |||||
主題 | 801.06 | |||||
件名 | ||||||
主題Scheme | LCSH | |||||
主題 | Computational linguistics--Congresses | |||||
出版者 | ||||||
出版者 | Logico-Linguistic Society of Japan | |||||
データタイプ | ||||||
内容記述タイプ | Other | |||||
内容記述 | text | |||||
HDL URI | ||||||
http://hdl.handle.net/2065/566 |