CROSS LANGUAGE INFORMATION RETRIEVAL: IN INDIAN LANGUAGE PERSPECTIVE

Pratibha Bajpai, Parul Verma

Abstract: Multilingual information is overflowing on internet these days. This increasing diversity of web pages in almost every popular language in the world should enable the user to access information in any language of his choice. But sometimes it is difficult for a user to write her request in a language which she could easily read and understand. This makes cross-language information retrieval (CLIR) and multilingual information retrieval (MLIR) for Web applications a valuable need of the day. It increases the accessibility of web users to retrieve information in any language while post their queries in their native language. The paper critically analyzes the various researchers work in the area of Indian language CLIR. In this paper we also present our prospective prototype for English to Hindi language CLIR. It will also discuss the issues related to the English to Hindi language translation. We had tested 30 queries manually using suggested prototype and found that the precision level is quite good

Keywords: Cross lingual Information Retrieval, Query Translation, Sense Disambiguation, English to Hindi Translation.

DOI: https://doi.org/10.15623/ijret.2014.0322010