Large margin classification using the perceptron algorithm
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
A systematic comparison of various statistical alignment models
Computational Linguistics
Stochastic inversion transduction grammars and bilingual parsing of parallel corpora
Computational Linguistics
On approximability of linear ordering and related NP-optimization problems on graphs
Discrete Applied Mathematics - The 1st cologne-twente workshop on graphs and combinatorial optimization (CTW 2001)
An algorithm for simultaneously bracketing parallel texts by aligning words
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
A comparative study on reordering constraints in statistical machine translation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Minimum error rate training in statistical machine translation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
A branch-and-bound algorithm to solve the linear ordering problem for weighted tournaments
Discrete Applied Mathematics - Special issue: International symposium on combinatorial optimization CO'02
Clause restructuring for statistical machine translation
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Maximum entropy based phrase reordering model for statistical machine translation
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Distortion models for statistical machine translation
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Improving a statistical MT system with automatically learned rewrite patterns
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Local phrase reordering models for statistical machine translation
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Segment choice models: feature-rich models for global distortion in statistical machine translation
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
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
Statistical machine reordering
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
A unigram orientation model for statistical machine translation
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
Context-free reordering, finite-state translation
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Divide and translate: improving long distance reordering in statistical machine translation
WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
Hierarchical phrase-based machine translation with word-based reordering model
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Exploiting syntactic relationships in a phrase-based decoder: an exploration
Machine Translation
ILLC-UvA translation system for EMNLP-WMT 2011
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
Inducing sentence structure from parallel corpora for reordering
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A word reordering model for improved machine translation
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Soft dependency constraints for reordering in hierarchical phrase-based translation
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Post-ordering by parsing for Japanese-English statistical machine translation
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Inducing a discriminative parser to optimize machine translation reordering
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Natural Language Engineering
Syntax-Based Post-Ordering for Efficient Japanese-to-English Translation
ACM Transactions on Asian Language Information Processing (TALIP)
Post-Ordering by Parsing with ITG for Japanese-English Statistical Machine Translation
ACM Transactions on Asian Language Information Processing (TALIP)
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We apply machine learning to the Linear Ordering Problem in order to learn sentence-specific reordering models for machine translation. We demonstrate that even when these models are used as a mere preprocessing step for German-English translation, they significantly outperform Moses' integrated lexicalized reordering model. Our models are trained on automatically aligned bitext. Their form is simple but novel. They assess, based on features of the input sentence, how strongly each pair of input word tokens wi, wj would like to reverse their relative order. Combining all these pairwise preferences to find the best global reordering is NP-hard. However, we present a non-trivial O(n3) algorithm, based on chart parsing, that at least finds the best reordering within a certain exponentially large neighborhood. We show how to iterate this reordering process within a local search algorithm, which we use in training.