A multilingual text mining approach to web cross-lingual text retrieval
To enable concept-based cross-lingual text retrieval (CLTR) using multilingual text mining, our approach will first discover the multilingual conceptterm relationships from linguistically diverse textual data relevant to a domain. Second, the multilingual conceptterm relationships, in turn, are used to discover the conceptual content of the multilingual text, which is either a document containing potentially relevant information or a query expressing an information need. When language-independent concepts hidden beneath both document and query are revealed, concept-based matching is made possible. Hence, concept-based CLTR is facilitated. This approach is employed for developing a multi-agent system to facilitate concept-based CLTR on the Web.
multilingual text mining cross-lingual text retrieval agent fuzzy clustering fuzzy classification