On the design of CGAL a computational geometry algorithms library
Software—Practice & Experience - Special issue on discrete algorithm engineering
A systematic comparison of various statistical alignment models
Computational Linguistics
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Factored language models and generalized parallel backoff
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
Minimum error rate training in statistical machine translation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
The Alignment Template Approach to Statistical Machine Translation
Computational Linguistics
A hierarchical phrase-based model for statistical machine translation
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
An end-to-end discriminative approach to machine translation
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Kernel regression based machine translation
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
PORTAGE: a phrase-based machine translation system
ParaText '05 Proceedings of the ACL Workshop on Building and Using Parallel Texts
Mood at work: Ramses versus Pharaoh
StatMT '06 Proceedings of the Workshop on Statistical Machine Translation
Phramer: an open source statistical phrase-based translator
StatMT '06 Proceedings of the Workshop on Statistical Machine Translation
Phrase translation probabilities with ITG priors and smoothing as learning objective
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Phrase-based statistical machine translation as a traveling salesman problem
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 1 - Volume 1
Application-driven statistical paraphrase generation
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
Contextual modeling for meeting translation using unsupervised word sense disambiguation
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Leveraging multiple MT engines for paraphrase generation
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Unsupervised cleansing of noisy text
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Clause restructuring for SMT not absolutely helpful
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Utilizing target-side semantic role labels to assist hierarchical phrase-based machine translation
SSST-5 Proceedings of the Fifth Workshop on Syntax, Semantics and Structure in Statistical Translation
Building a bilingual dictionary from a Japanese-Chinese patent corpus
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
Statistical machine translation system for English to Urdu
International Journal of Advanced Intelligence Paradigms
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We present a description of the implementation of the open source decoder for statistical machine translation which has become popular with many researchers in SMT research. The goal of the project is to create an open, high quality phrase-based decoder which can reduce the time and barrier to entry for researchers wishing to do SMT research. We discuss the major design objective for the Moses decoder, its performance relative to other SMT decoders, and the steps we are taking to ensure that its success will continue.