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.
CITATION STYLE
Chau, R., & Yeh, C. H. (2001). Construction of a fuzzy multilingual thesaurus and its application to cross-lingual text retrieval. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2198, pp. 340–345). Springer Verlag. https://doi.org/10.1007/3-540-45490-x_40
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