PAT-tree-based keyword extraction for Chinese information retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Anchor text mining for translation of Web queries: A transitive translation approach
ACM Transactions on Information Systems (TOIS)
Translating unknown cross-lingual queries in digital libraries using a web-based approach
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Detection and translation of OOV terms prior to query time
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Adapting ranking SVM to document retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
ACM Transactions on Asian Language Information Processing (TALIP)
Chinese-English term translation mining based on semantic prediction
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
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In Cross-Language Information Retrieval (CLIR), Out-of-Vocabulary (OOV) detection and translation pair relevance evaluation still remain as key problems. In this paper, an English-Chinese Bi-Directional OOV translation model is presented, which utilizes Web mining as the corpus source to collect translation pairs and combines supervised learning to evaluate their association degree. The experimental results show that the proposed model can successfully filter the most possible translation candidate with the lower computational cost, and improve the OOV translation ranking effect, especially for popular new words.