Issue No.05 - September/October (2004 vol.8)
Rowena Chau , Monash University
Chung-Hsing Yeh , Monash University
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIC.2004.38
Cross-lingual text retrieval (CLTR) is a technique for locating relevant documents in different languages. The authors have developed <it>fuzzy conceptual indexing</it> (FCI) to extend CLTR to include documents that share concepts but don't contain exact translations of query terms. In FCI, documents and queries are represented as a function of language-independent concepts, thus enabling direct mapping between them across multiple languages. Experimental results suggest that concept-based CLTR outperforms translation-based CLTR in identifying conceptually relevant documents.
cross-lingual text retrieval, fuzzy clustering, indexing
Rowena Chau, Chung-Hsing Yeh, "Fuzzy Conceptual Indexing for Concept-Based Cross-Lingual Text Retrieval", IEEE Internet Computing, vol.8, no. 5, pp. 14-21, September/October 2004, doi:10.1109/MIC.2004.38