Identifying word correspondence in parallel texts
HLT '91 Proceedings of the workshop on Speech and Natural Language
Models of translational equivalence among words
Computational Linguistics
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DMMT '01 Proceedings of the workshop on Data-driven methods in machine translation - Volume 14
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Overcoming the customization bottleneck using example-based MT
DMMT '01 Proceedings of the workshop on Data-driven methods in machine translation - Volume 14
DMMT '01 Proceedings of the workshop on Data-driven methods in machine translation - Volume 14
Adding domain specificity to an MT system
DMMT '01 Proceedings of the workshop on Data-driven methods in machine translation - Volume 14
English-Japanese example-based machine translation using abstract linguistic representations
COLING-MTIA '02 Proceedings of the 2002 COLING workshop on Machine translation in Asia - Volume 16
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HLT-NAACL-PARALLEL '03 Proceedings of the HLT-NAACL 2003 Workshop on Building and using parallel texts: data driven machine translation and beyond - Volume 3
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IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
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We report on a project to derive word translation relationships automatically from parallel corpora. Our effort is distinguished by the use of simpler, faster models than those used in previous high-accuracy approaches. Our methods achieve accuracy on single-word translations that seems comparable to any work previously reported, up to nearly 60% coverage of word types, and they perform particularly well on a class of multi-word compounds of special interest to our translation effort.