A system for supporting cross-lingual information retrieval
Information Processing and Management: an International Journal
User-centered interface design for cross-language information retrieval
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Cross-Language Information Access through Phrase Browsing
NLDB'01 Proceedings of the 6th International Workshop on Applications of Natural Language to Information Systems
Improving Cross-Language Text Retrieval with Human Interactions
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 3 - Volume 3
Chinese word segmentation and its effect on information retrieval
Information Processing and Management: an International Journal
Cross-language information retrieval: the way ahead
Information Processing and Management: an International Journal - Special issue: Cross-language information retrieval
Four scorers and seven years ago: the scoring method for MUC-6
MUC6 '95 Proceedings of the 6th conference on Message understanding
Barriers to Information Access across Languages on the Internet: Network and Language Effects
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 03
Introduction to Information Retrieval
Introduction to Information Retrieval
Search Engines: Information Retrieval in Practice
Search Engines: Information Retrieval in Practice
Modern Information Retrieval
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This study evaluates the retrieval effectiveness of English-Chinese (EC) cross-language information retrieval (CLIR) on four common search engines along the dimensions of recall and precision. We formulated a set of simple and complex queries on different topics including queries with translation ambiguity. Three independent bilingual proficient evaluators reviewed a total of 960 returned web pages each to assess document relevance. Findings showed that CLIR effectiveness is poor with average recall and precision values of 0.165 and 0.539 for monolingual EE/CC searches, and 0.078 and 0.282 for cross lingual CE/EC searches. Google outperformed Yahoo! in the experiments, and EC and EE searches returned better results than CE and CC results respectively. As this is the first set CLIR retrieval effectiveness measurements reported in literature, these findings can serve as a benchmark and provide a better understanding of the current CLIR capabilities of Web search engines.