Abstract
Cross-lingual text retrieval (CLTR) concerns the retrieval of documents across languages. To allow multilingual term matching, a multilingual thesaurus is needed. However, a multilingual thesaurus encoding exact translation equivalent is insufficient for effective CLTR since relevant documents are often indexed by cross-lingual related terms. 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. Development of a fuzzy multilingual news retrieval system using the proposed approach is presented.
Original language | English |
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Title of host publication | Proceedings of the Second International Conference in Fuzzy Systems and Knowledge Discovery (FKSD 2005) |
Editors | Lipo Wang, Yaochu Jin |
Place of Publication | Germany |
Publisher | Springer |
Pages | 768-773 |
Number of pages | 6 |
Volume | 3614 |
ISBN (Print) | 9783540283317 |
DOIs | |
Publication status | Published - 2005 |
Event | International Conference on Fuzzy Systems and Knowledge Discovery 2005 - Changsha China, Changsha, China Duration: 1 Jan 2005 → … Conference number: 2nd |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 3614 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | International Conference on Fuzzy Systems and Knowledge Discovery 2005 |
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Abbreviated title | FKSD 2005 |
Country/Territory | China |
City | Changsha |
Period | 1/01/05 → … |