Fuzzy Conceptual Indexing for Concept-Based Cross-Lingual Text Retrieval

Authors:
Rowena Chau;Chung-Hsing Yeh
Affiliations:
Monash University;Monash University
Venue:
IEEE Internet Computing
Year:
2004

Citing 10
Cited 2

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Abstract

Cross-lingual text retrieval (CLTR) is a technique for locating relevant documents in different languages.The authors have developed fuzzy conceptual indexing (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.