Translating collocations for bilingual lexicons: a statistical approach
Computational Linguistics
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Computational Linguistics - Special issue on using large corpora: II
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ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
TANGO: bilingual collocational concordancer
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ACLdemo '04 Proceedings of the ACL 2004 on Interactive poster and demonstration sessions
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
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EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
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LRTWRT '04 Proceedings of the Second International Workshop on Language Resources for Translation Work, Research and Training
TransSearch: from a bilingual concordancer to a translation finder
Machine Translation
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In this paper, we propose a web-based bilingual concordancer, DOMCAT, for domain-specific computer assisted translation. Given a multi-word expression as a query, the system involves retrieving sentence pairs from a bilingual corpus, identifying translation equivalents of the query in the sentence pairs (translation spotting) and ranking the retrieved sentence pairs according to the relevance between the query and the translation equivalents. To provide high-precision translation spotting for domain-specific translation tasks, we exploited a normalized correlation method to spot the translation equivalents. To ranking the retrieved sentence pairs, we propose a correlation function modified from the Dice coefficient for assessing the correlation between the query and the translation equivalents. The performances of the translation spotting module and the ranking module are evaluated in terms of precision-recall measures and coverage rate respectively.