A statistical approach to machine translation
Computational Linguistics
Word reordering and a dynamic programming beam search algorithm for statistical machine translation
Computational Linguistics
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
Decoding algorithm in statistical machine translation
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
HMM-based word alignment in statistical translation
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Fast decoding and optimal decoding for machine translation
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
A finite-state approach to machine translation
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
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
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Generalized algorithms for constructing statistical language models
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Improved statistical alignment models
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
An efficient A* search algorithm for statistical machine translation
DMMT '01 Proceedings of the workshop on Data-driven methods in machine translation - Volume 14
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
Minimum Bayes-Risk word alignments of bilingual texts
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
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 projection extension algorithm for statistical machine translation
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Statistical machine translation using coercive two-level syntactic transduction
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Automatic evaluation of machine translation quality using n-gram co-occurrence statistics
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Learning finite-state models for machine translation
Machine Learning
A hierarchical phrase-based model for statistical machine translation
ACL '05 Proceedings of the 43rd Annual Meeting on Association for 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
Hierarchical Phrase-Based Translation
Computational Linguistics
Statistical machine translation
ACM Computing Surveys (CSUR)
Inference of Stochastic Finite-State Transducers Using N-Gram Mixtures
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
ON THE STATISTICAL ESTIMATION OF STOCHASTIC FINITE-STATE TRANSDUCERS IN MACHINE TRANSLATION
Applied Artificial Intelligence
Joining linguistic and statistical methods for Spanish-to-Basque speech translation
Speech Communication
Large-Scale Statistical Machine Translation with Weighted Finite State Transducers
Proceedings of the 2009 conference on Finite-State Methods and Natural Language Processing: Post-proceedings of the 7th International Workshop FSMNLP 2008
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
StatMT '08 Proceedings of the Third Workshop on Statistical Machine Translation
Learning finite state transducers using bilingual phrases
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
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
Hierarchical phrase-based translation with weighted finite-state transducers and shallow-n grammars
Computational Linguistics
GREAT: open source software for statistical machine translation
Machine Translation
From n-gram-based to CRF-based translation models
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
Hierarchical phrase-based translation representations
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Stochastic K-TSS bi-languages for machine translation
FSMNLP '11 Proceedings of the 9th International Workshop on Finite State Methods and Natural Language Processing
Cross-lingual language modeling with syntactic reordering for low-resource speech recognition
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
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We present a Weighted Finite State Transducer Translation Template Model for statistical machine translation. This is a source-channel model of translation inspired by the Alignment Template translation model. The model attempts to overcome the deficiencies of word-to-word translation models by considering phrases rather than words as units of translation. The approach we describe allows us to implement each constituent distribution of the model as a weighted finite state transducer or acceptor. We show that bitext word alignment and translation under the model can be performed with standard finite state machine operations involving these transducers. One of the benefits of using this framework is that it avoids the need to develop specialized search procedures, even for the generation of lattices or N-Best lists of bitext word alignments and translation hypotheses. We report and analyze bitext word alignment and translation performance on the Hansards French-English task and the FBIS Chinese-English task under the Alignment Error Rate, BLEU, NIST and Word Error-Rate metrics. These experiments identify the contribution of each of the model components to different aspects of alignment and translation performance. We finally discuss translation performance with large bitext training sets on the NIST 2004 Chinese-English and Arabic-English MT tasks.