Abstract
Cross-lingual text retrieval (CLTR) is a problem of vocabulary mismatch. To allow multilingual term matching, a multilingual thesaurus is used. However, a multilingual thesaurus encoded with exact translation equivalent only is insufficient for effective CLTR since relevant documents are often indexed by cross-lingual related term. In this paper, a novel approach for automatically constructing a multilingual thesaurus based on fuzzy set theory is proposed. By introducing a degree of relatedness between multilingual terms using the concept of membership degree, partial match of cross-lingual related terms is facilitated.
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© 2001 Springer-Verlag Berlin Heidelberg
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Chau, R., Yeh, CH. (2001). Construction of a Fuzzy Multilingual Thesaurus and Its Application to Cross-Lingual Text Retrieval. In: Zhong, N., Yao, Y., Liu, J., Ohsuga, S. (eds) Web Intelligence: Research and Development. WI 2001. Lecture Notes in Computer Science(), vol 2198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45490-X_40
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DOI: https://doi.org/10.1007/3-540-45490-X_40
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