
Topic:
Cross Language Information Retrieval: Indian Perspective
Abstract:
In this talk, the speaker will briefly explain the cross language information retrieval research for Indian languages. There is a national wide mission mode project on cross language information access sponsored by Ministry of Communications and Information technology, Government of India involving around ten Universities. The speaker also will talk about the major research issues and a possible roadmap for the CLIR research in Indian setting. In the second part of the talk, the speaker along with Prasad will describe IIIT Hyderabad experiences at CLEF-2006.
Bio of the Speaker:

Vasudeva Varma is a faculty member at International Institute of Information Technology, Hyderabad Since 2002. Prior to joining IIIT-H, he was the president of MediaCognition India Pvt. Ltd and Chief Architect at MediaCognition Inc. (Cupertino, CA). Earlier he was the director of Engineering and research at InfoDream Corporation, Santa Clara, CA. He also worked for Citicorp and Muze Inc. in New York as senior consultant. He obtained his Ph.D. from the Department of Computer and Information Sciences, University of Hyderabad in 1996. He has five patent applications and several publications in journals and conferences. He obtained young scientist award and grant from Department of Science and Technology, Government of India, for his proposal on personalized search engines. His areas of interests include search and information extraction, knowledge management and software engineering. He is heading the Search and Information Extraction Lab at Language Technologies Research Center (LTRC) and Software Engineering Research Lab. His team is developing search engines for Indian languages, working on named entity extraction and personalized search engines. He is also interested in experimenting with non-conventional methods for teaching software engineering in general and case study based approach In particular.
Homepage: http://www.iiit.ac.in/~vasu/
E-mail: vv@iiit.ac.in
Additional Material (References, Slides & Lecture Notes):