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Information Processing and Management: an International Journal
On term selection for query expansion
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SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Phrasal translation and query expansion techniques for cross-language information retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
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Improving query translation for cross-language information retrieval using statistical models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
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Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Anchor text mining for translation extraction of query terms
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Model-based feedback in the language modeling approach to information retrieval
Proceedings of the tenth international conference on Information and knowledge management
Query clustering using user logs
ACM Transactions on Information Systems (TOIS)
Comparing cross-language query expansion techniques by degrading translation resources
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Cross-lingual relevance models
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
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Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
A systematic comparison of various statistical alignment models
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Query Expansion by Mining User Logs
IEEE Transactions on Knowledge and Data Engineering
Embedding web-based statistical translation models in cross-language information retrieval
Computational Linguistics - Special issue on web as corpus
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
Translating unknown queries with web corpora for cross-language information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Using the web for automated translation extraction in cross-language information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
A tutorial on support vector regression
Statistics and Computing
Using mutual information to resolve query translation ambiguities and query term weighting
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Noun phrases as building blocks for cross-language search assistance
Information Processing and Management: an International Journal - Special issue: Cross-language information retrieval
Statistical phrase-based translation
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Iterative translation disambiguation for cross-language information retrieval
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Finding similar questions in large question and answer archives
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ACM Transactions on Asian Language Information Processing (TALIP)
Chinese Word Segmentation and Named Entity Recognition: A Pragmatic Approach
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Novel association measures using web search with double checking
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Cross-lingual query suggestion using query logs of different languages
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Comparing query logs and pseudo-relevance feedbackfor web-search query refinement
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Moses: open source toolkit for statistical machine translation
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Preliminary study into query translation for patent retrieval
PaIR '10 Proceedings of the 3rd international workshop on Patent information retrieval
Is a query worth translating: ask the users!
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Expanding queries with term and phrase translations in patent retrieval
IRFC'11 Proceedings of the Second international conference on Multidisciplinary information retrieval facility
Data Mining and Knowledge Discovery
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Query recommendation for children
Proceedings of the 21st ACM international conference on Information and knowledge management
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Query suggestion aims to suggest relevant queries for a given query, which helps users better specify their information needs. Previous work on query suggestion has been limited to the same language. In this article, we extend it to cross-lingual query suggestion (CLQS): for a query in one language, we suggest similar or relevant queries in other languages. This is very important to the scenarios of cross-language information retrieval (CLIR) and other related cross-lingual applications. Instead of relying on existing query translation technologies for CLQS, we present an effective means to map the input query of one language to queries of the other language in the query log. Important monolingual and cross-lingual information such as word translation relations and word co-occurrence statistics, and so on, are used to estimate the cross-lingual query similarity with a discriminative model. Benchmarks show that the resulting CLQS system significantly outperforms a baseline system that uses dictionary-based query translation. Besides, we evaluate CLQS with French-English and Chinese-English CLIR tasks on TREC-6 and NTCIR-4 collections, respectively. The CLIR experiments using typical retrieval models demonstrate that the CLQS-based approach has significantly higher effectiveness than several traditional query translation methods. We find that when combined with pseudo-relevance feedback, the effectiveness of CLIR using CLQS is enhanced for different pairs of languages.