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Bilingual Knowledge Extraction Using Chunk Alignment

By Young-Sook Hwang, Kyonghee Paik and 裕 佐々木

Abstract

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

Topics: Computational linguistics--Congresses, 801.06
Publisher: Logico-Linguistic Society of Japan
Year: 2005
OAI identifier: oai:dspace.wul.waseda.ac.jp:2065/566

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