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Techfind presents seminar report on Cross-Lingual Meaning Based Search

:: ABSTRACT ::

This report discusses the need, approaches and techniques of performing cross-lingual meaning based search on web documents written in different natural languages. The ever-increasing reach of the World Wide Web deep into different countries and cultures of the world has resulted in a vast volume of information in electronic form represented in languages other than English. This has magnified the need of cross-lingual and meaning-based search. Cross-lingual Information Access involves use of Machine Translation systems. In scenarios where a number of different languages are involved, Interlingua-based Machine Translation approach proves beneficial. Universal Networking Language is a widely used and exhaustive interlingua available today. In domain-specific search, restricted interlingua such as Subword Clusters prove to be effective. Different approaches to match the search query with related documents exist having varying degrees of precision and recall. AgroExplorer is an indigenous cross-lingual meaningbased search engine for agricultural domain, which can also be effectively integrated with multilingual question-answer forums like aAqua.


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