Title :
Using Cross-Language Information Retrieval Methods for Bilingual Search of the Web
Author_Institution :
Seton Hall Univ., South Orange, NJ
Abstract :
English content dominates the Web, while the number of Web users speaking other languages is increasing rapidly. This paper describes a system that uses various cross-language information retrieval 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. The system would be useful for Web users, expanding the international scope of the Web
Keywords :
Internet; information retrieval; language translation; natural languages; search engines; English language; Web search; bilingual search; cross-language information retrieval; search engine; Automation; Business; Computational intelligence; Computational modeling; Information retrieval; Intelligent agent; Internet; Natural languages; Neural networks; Search engines;
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
DOI :
10.1109/CIMCA.2005.1631439
