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
A phrase-based, joint probability model for statistical machine translation
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Hierarchical Phrase-Based Translation
Computational Linguistics
Extracting synchronous grammar rules from word-level alignments in linear time
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
A systematic comparison of phrase-based, hierarchical and syntax-augmented statistical MT
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Rule filtering by pattern for efficient hierarchical translation
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Sampling alignment structure under a Bayesian translation model
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Inducing compact but accurate tree-substitution grammars
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Discarding monotone composed rule for hierarchical phrase-based statistical machine translation
Proceedings of the 3rd International Universal Communication Symposium
A Gibbs sampler for phrasal synchronous grammar induction
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
Hierarchical phrase-based translation grammars extracted from alignment posterior probabilities
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Improved reordering for shallow-n grammar based hierarchical phrase-based translation
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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We present a novel approach for extracting a minimal synchronous context-free grammar (SCFG) for Hiero-style statistical machine translation using a non-parametric Bayesian framework. Our approach is designed to extract rules that are licensed by the word alignments and heuristically extracted phrase pairs. Our Bayesian model limits the number of SCFG rules extracted, by sampling from the space of all possible hierarchical rules; additionally our informed prior based on the lexical alignment probabilities biases the grammar to extract high quality rules leading to improved generalization and the automatic identification of commonly re-used rules. We show that our Bayesian model is able to extract minimal set of hierarchical phrase rules without impacting the translation quality as measured by the BLEU score.