Speech and text query based Tamil - English Cross Language Information Retrieval system

Abstract

The number of Web Users accessing the Internet becomes increasing day by day. Any kind of required information can be obtained anytime by anybody from the web. Information retrieval is the fact that there is vast amount of garbage that surrounds any useful information. Such information should be easily accessible and digestible. Internet is no longer monolingual and non-English content is growing rapidly. Speech is easy mode of communication for the people to interact with the computer, rather than using keyboard and mouse. This paper is new attempt to integrate speech recognition and cross language information retrieval system. Speech based queries retrieval performance is compatible with retrieval performance of text based queries. Both Speech recognition and Cross language information retrieval fields are very much challenging to integrate. On Forum for Information Retrieval Evaluation (FIRE) 2011 dataset speech and text query based Tamil- English Cross Language Information Retrieval (CLIR) system achieves 65% and 63% of monolingual retrieval. In future speech based CLIR system very much useful for visually challenged people.