Using Bilingual Web Data to Mine and Rank Translations
IEEE Intelligent Systems
Introduction to the special issue on the web as corpus
Computational Linguistics - Special issue on web as corpus
Anchor text mining for translation of Web queries: A transitive translation approach
ACM Transactions on Information Systems (TOIS)
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
Automatic identification of word translations from unrelated English and German corpora
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Using the web as a bilingual dictionary
DMMT '01 Proceedings of the workshop on Data-driven methods in machine translation - Volume 14
Web-based terminology translation mining
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
English-Chinese bi-directional OOV translation based on web mining and supervised learning
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Mining Synonymous Transliterations from the World Wide Web
ACM Transactions on Asian Language Information Processing (TALIP)
Fusion of multiple features and ranking SVM for web-based English-Chinese OOV term translation
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
The english unknown term translation mining with improved bilingual snippets collection strategy
ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
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Using abundant Web resources to mine Chinese term translations can be applied in many fields such as reading/writing assistant, machine translation and cross-language information retrieval. In mining English translations of Chinese terms, how to obtain effective Web pages and evaluate translation candidates are two challenging issues. In this paper, the approach based on semantic prediction is first proposed to obtain effective Web pages. The proposed method predicts possible English meanings according to each constituent unit of Chinese term, and expands these English items using semantically relevant knowledge for searching. The refined related terms are extracted from top retrieved documents through feedback learning to construct a new query expansion for acquiring more effective Web pages. For obtaining a correct translation list, a translation evaluation method in the weighted sum of multi-features is presented to rank these candidates estimated from effective Web pages. Experimental results demonstrate that the proposed method has good performance in Chinese-English term translation acquisition, and achieves 82.9% accuracy.