Querying across languages: a dictionary-based approach to multilingual information retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Resolving ambiguity for cross-language retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Information Retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Term Similarity-Based Query Expansion for Cross-Language Information Retrieval
ECDL '99 Proceedings of the Third European Conference on Research and Advanced Technology for Digital Libraries
Technical issues of cross-language information retrieval: a review
Information Processing and Management: an International Journal - Special issue: Cross-language information retrieval
Information Processing and Management: an International Journal
The performance of a machine translation-based english-indonesian CLIR system
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Retrieving images using cross-language text and image features
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Query and document translation for english-Indonesian cross language IR
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
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This report describes the work done for our participation in the multilingual track of the Cross-Language Evaluation Forum (CLEF). We use a dictionary-based approach to translate English queries into German, French and Italian queries. We then apply a term disambiguation technique to select the best translation terms from terms found in the dictionary entries, and a query expansion technique to enhance the queries' retrieval performance. We show that the word-formation characteristics of different languages affect the effectiveness of statistical techniques in dealing with the ambiguity problem.