Resolving ambiguity for cross-language retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Implicit ambiguity resolution using incremental clustering in cross-language information retrieval
Information Processing and Management: an International Journal
SpidersRUs: automated development of vertical search engines in different domains and languages
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Categorization-driven cross-language retrieval of medical information
Journal of the American Society for Information Science and Technology
An Evaluation of How Search Engines Respond to Greek Language Queries
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
A natural language interface for crime-related spatialqueries
ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
Multi-language Ontology-Based Search Engine
ACHI '10 Proceedings of the 2010 Third International Conference on Advances in Computer-Human Interactions
Retrieval effectiveness of machine translated queries
Journal of the American Society for Information Science and Technology
Discovering search engine related queries using association rules
Journal of Web Engineering
Content-based analysis to detect Arabic web spam
Journal of Information Science
Using Wikipedia concepts and frequency in language to extract key terms from support documents
Expert Systems with Applications: An International Journal
Cross-language patent matching via an international patent classification-based concept bridge
Journal of Information Science
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This paper evaluates the assumption that users expect search engines to retrieve the same results for queries regardless of the language or the location of the originator. The dependency of the Google search engine on the language and location from which the query is submitted has been evaluated. The most popular queries in Arabic language were selected and translated into English for comparison using the Google translator. When studying keyword traffic on both Google search based keyword tool and Google Insights for Search, results showed that 67% of the Arab Internet users prefer to use English queries instead of their Arabic counterpart. When studying Google responses to some popular queries we have found that Google ranking algorithm depends on the language of the query more than on the keyword popularity. Although results justify search engines芒聙聶 favouritism of giving documents in English priority over those of other languages, nonetheless, future search engine indexers should separate the document language from its content in a structure that makes the language a pluggable attribute for those indexed documents.