The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
Discriminative training and maximum entropy models for statistical 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
Novel reordering approaches in phrase-based statistical machine translation
ParaText '05 Proceedings of the ACL Workshop on Building and Using Parallel Texts
Improving statistical MT by coupling reordering and decoding
Machine Translation
An Ngram-based reordering model
Computer Speech and Language
Exploiting N-best hypotheses for SMT self-enhancement
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
Sentence type based reordering model for statistical machine translation
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Improving mid-range reordering using templates of factors
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Translation as weighted deduction
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
SSST '07 Proceedings of the NAACL-HLT 2007/AMTA Workshop on Syntax and Structure in Statistical Translation
Coupling hierarchical word reordering and decoding in phrase-based statistical machine translation
SSST '09 Proceedings of the Third Workshop on Syntax and Structure in Statistical Translation
Ngram-based statistical machine translation enhanced with multiple weighted reordering hypotheses
StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
Using shallow syntax information to improve word alignment and reordering for SMT
StatMT '08 Proceedings of the Third Workshop on Statistical Machine Translation
A POS-based model for long-range reorderings in SMT
StatMT '09 Proceedings of the Fourth Workshop on Statistical Machine 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
Learning linear ordering problems for better translation
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
A data mining approach to learn reorder rules for SMT
HLT-SRWS '10 Proceedings of the NAACL HLT 2010 Student Research Workshop
Syntax-based reordering for statistical machine translation
Computer Speech and Language
ILLC-UvA translation system for EMNLP-WMT 2011
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
Clustered word classes for preordering in statistical machine translation
ROBUS-UNSUP '12 Proceedings of the Joint Workshop on Unsupervised and Semi-Supervised Learning in NLP
Natural Language Engineering
Syntax-Based Post-Ordering for Efficient Japanese-to-English Translation
ACM Transactions on Asian Language Information Processing (TALIP)
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Reordering is currently one of the most important problems in statistical machine translation systems. This paper presents a novel strategy for dealing with it: statistical machine reordering (SMR). It consists in using the powerful techniques developed for statistical machine translation (SMT) to translate the source language (S) into a reordered source language (S'), which allows for an improved translation into the target language (T). The SMT task changes from S2T to S'2T which leads to a monotonized word alignment and shorter translation units. In addition, the use of classes in SMR helps to infer new word reorderings. Experiments are reported in the EsEn WMT06 tasks and the ZhEn IWSLT05 task and show significant improvement in translation quality.