Abstract
Developing efficient and meaningful search mechanisms for the Web is an active area of research in Information Management. With information explosion on the Internet, existing search engines encounter difficulty in accurate document positioning and retrieval. This situation is exacerbated by the language barrier for accessing web content provided in different languages. Sophisticated content-based search engines are needed for helping users find useful information quickly from multi-lingual knowledge sources on the Web. This paper presents a parametric linguistics based approach for flexible and scalable cross-lingual web querying with low complexity in query translation. The proposed methodology and the system architecture are discussed.
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