A System for Bilingual Search on the Web
Sung J. Shim
Journal of Information Technology Review, Vol. 2, No. 4, 2011.
DOI: 
Link: http://www.dline.info/jitr/fulltext/v2n4/1.pdf
Abstract:
This paper describes a system that uses various cross-language information retrieval (CLIR) methods to provide search engines with capability of automatic search in a local language as well as English even when the user makes search queries only in the local language. It first reviews the CLIR methods that can be used for bilingual search on the Web. Then, it describes the general process and main components of the system with exemplary case of Korean-to-English conversion of search queries. Finally, it presents the results of an empirical experiment on the system. The results of an empirical experiment on the system demonstrate the usefulness of CLIR methods in converting search queries in Korean into English and delivering search results in English even when the user makes search queries in Korean. The encouraging results suggest a promising future of the system for bilingual search on the Web. While the system is currently for Korean-to-English conversion of search queries, it may be applied to other language sets with some modifications and tailoring specific to each language set. The system would be useful for Web users, expanding the international scope of the Web. We plan to improve and elaborate the system, exploring additional ways that CLIR and similar methods can be exploited and included in the system.