Refinement of search results using cross lingual reference technique

Abstract: In this paper we present a fully implemented system which supports cross-lingual search of World Wide Web. Cross-language information retrieval (CLIR) is a subfield of information retrieval (IR) that deals with the retrieval of the information in a language different from the language of the user's query. Google is a powerful tool to search information on the World Wide Web. Google is a keyword based search engine. Google is a widely used search engine that uses the keyword matching to find the documents that are important & relevant to user’s query. It will retrieve the documents as a search result that contains query terms. Search words have multiple meanings or appear in multiple contexts or in multiple languages. Semantically similar pages that are desirable by the user are often not retrieved .CLIR is helpful for refining the search result of Google. It allows the search engine to not only retrieve the documents containing the query terms but also the documents containing the semantic equivalent of query terms in the other languages. The system, which is named as “Refinement of Google Search Results by Cross Lingual Reference technique” will improve the quality of the search results of Google by providing the multilingual documents in response to a user query written in single language. The goal of this system is to improve the search result of Google by using the CLIR approach for search. This System will avoid the overhead involved in creating multiple requests in case of different languages document retrieval .This System can be used for NLP Linguistics, Govt Organizations such as Intelligence dept, Immigration dept.,Multilingual population regions etc.

Keywords: Information Retrieval, World Wide Web, CLIR