A systematic comparison of various statistical alignment models
Computational Linguistics
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Minimum error rate training in statistical machine translation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Phrasal cohesion and statistical machine translation
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Moses: open source toolkit for statistical machine translation
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Imposing constraints from the source tree on ITG constraints for SMT
SSST '08 Proceedings of the Second Workshop on Syntax and Structure in Statistical Translation
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Soft dependency constraints for reordering in hierarchical phrase-based translation
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
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Cohesive constraints allow the phrase-based decoder to employ arbitrary, non-syntactic phrases, and encourage it to translate those phrases in an order that respects the source dependency tree structure. We present extensions of the cohesive constraints, such as exhaustive interruption count and rich interruption check. We show that the cohesion-enhanced decoder significantly outperforms the standard phrase-based decoder on English→Spanish. Improvements between 0.5 and 1.2 BLEU point are obtained on English→Iraqi system.