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
ORANGE: a method for evaluating automatic evaluation metrics for machine translation
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Hierarchical Phrase-Based Translation
Computational Linguistics
Online large-margin training of syntactic and structural translation features
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
SCFG decoding without binarization
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Re-structuring, re-labeling, and re-aligning for syntax-based machine translation
Computational Linguistics
Issues concerning decoding with synchronous context-free grammar
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
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We propose a tuning method for statistical machine translation, based on the pairwise ranking approach. Hopkins and May (2011) presented a method that uses a binary classifier. In this work, we use linear regression and show that our approach is as effective as using a binary classifier and converges faster.