Relevance weighting of search terms
Document retrieval systems
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Structured translation for cross-language information retrieval
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Statistical cross-language information retrieval using n-best query translations
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic models of information retrieval based on measuring the divergence from randomness
ACM Transactions on Information Systems (TOIS)
Addressing the lack of direct translation resources for cross-language retrieval
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Combination Approaches for Multilingual Text Retrieval
Information Retrieval
Embedding web-based statistical translation models in cross-language information retrieval
Computational Linguistics - Special issue on web as corpus
Automatic processing of foreign language documents
COLING '69 Proceedings of the 1969 conference on Computational linguistics
A formal study of information retrieval heuristics
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Semantic term matching in axiomatic approaches to information retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Artificial Intelligence Review
Information-based models for ad hoc IR
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Cross-Language Information Retrieval
Cross-Language Information Retrieval
Axiomatic analysis and optimization of information retrieval models
ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
Is document frequency important for PRF?
ICTIR'11 Proceedings of the Third international conference on Advances in information retrieval theory
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We present in this paper well-founded cross-language extensions of the recently introduced models in the information-based family for information retrieval, namely the LL (log-logistic) and SPL (smoothed power law) models of [4]. These extensions are based on (a) a generalization of the notion of information used in the information-based family, (b) a generalization of the random variables also used in this family, and (c) the direct expansion of query terms with their translations. We then review these extensions from a theoretical point-of-view, prior to assessing them experimentally. The results of the experimental comparisons between these extensions and existing CLIR systems, on three collections and three language pairs, reveal that the cross-language extension of the LL model provides a state-of-the-art CLIR system, yielding the best performance overall.