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
Statistical phrase-based translation
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
The Alignment Template Approach to Statistical Machine Translation
Computational Linguistics
Generation of word graphs in statistical machine translation
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
A localized prediction model for statistical machine translation
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Reordering constraints for phrase-based statistical machine translation
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
A block bigram prediction model for statistical machine translation
ACM Transactions on Speech and Language Processing (TSLP)
Improving statistical MT by coupling reordering and decoding
Machine Translation
A rule-driven dynamic programming decoder for statistical MT
SSST '08 Proceedings of the Second Workshop on Syntax and Structure in Statistical Translation
Tree kernel-based SVM with structured syntactic knowledge for BTG-based phrase reordering
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
An integrated reordering model for statistical machine translation
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Generalizing hierarchical phrase-based translation using rules with adjacent nonterminals
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Discriminative word alignment with a function word reordering model
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Hierarchical phrase-based machine translation with word-based reordering model
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
A word-class approach to labeling PSCFG rules for machine translation
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Syntax-Based Post-Ordering for Efficient Japanese-to-English Translation
ACM Transactions on Asian Language Information Processing (TALIP)
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In this paper, we present a novel global reordering model that can be incorporated into standard phrase-based statistical machine translation. Unlike previous local reordering models that emphasize the reordering of adjacent phrase pairs (Till-mann and Zhang, 2005), our model explicitly models the reordering of long distances by directly estimating the parameters from the phrase alignments of bilingual training sentences. In principle, the global phrase reordering model is conditioned on the source and target phrases that are currently being translated, and the previously translated source and target phrases. To cope with sparseness, we use N-best phrase alignments and bilingual phrase clustering, and investigate a variety of combinations of conditioning factors. Through experiments, we show, that the global reordering model significantly improves the translation accuracy of a standard Japanese-English translation task.