Combining multiple evidence from different properties of weighting schemes
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Combining document representations for known-item search
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
The effectiveness of combining information retrieval strategies for European languages
Proceedings of the 2004 ACM symposium on Applied computing
Proceedings of the 14th ACM international conference on Information and knowledge management
Effective translation, tokenization and combination for cross-lingual retrieval
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
A signal-to-noise approach to score normalization
Proceedings of the 18th ACM conference on Information and knowledge management
Modeling score distributions in information retrieval
Information Retrieval
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We investigate a range of crosslingual web retrieval tasks using the test suite of the CLEF 2005 WebCLEF track, which features a stream of known-item topics in various languages. Our main findings are: (i) straightforward indexing and retrieval is effective for mixed monolingual web retrieval; (ii) standard machine translation methods are effective for bilingual web retrieval; but (iii) standard combination methods are ineffective for multilingual web retrieval; we analyze the failure and suggest an alternative Z-score normalization that leads to effective multilingual retrieval results.