Moses: open source toolkit for statistical machine translation. We describe an open-source toolkit for statistical machine translation whose novel contributions are (a) support for linguistically motivated factors, (b) confusion network decoding, and (c) efficient data formats for translation models and language models. In addition to the SMT decoder, the toolkit also includes a wide variety of tools for training, tuning and applying the system to many translation tasks.

This software is also peer reviewed by journal TOMS.

References in zbMATH (referenced in 25 articles )

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  1. Escolano, Carlos; Costa-jussà, Marta R.; Fonollosa, José A. R.: Multilingual machine translation: deep analysis of language-specific encoder-decoders (2022)
  2. Fan, Angela; Bhosale, Shruti; Schwenk, Holger; Ma, Zhiyi; El-Kishky, Ahmed; Goyal, Siddharth; Baines, Mandeep; Celebi, Onur; Wenzek, Guillaume; Chaudhary, Vishrav; Goyal, Naman; Birch, Tom; Liptchinsky, Vitaliy; Edunov, Sergey; Auli, Michael; Joulin, Armand: Beyond English-centric multilingual machine translation (2021)
  3. Alexis Conneau; Douwe Kiela: SentEval: An Evaluation Toolkit for Universal Sentence Representations (2018) arXiv
  4. Gudivada, Venkat N.; Arbabifard, Kamyar: Open-source libraries, application frameworks, and workflow systems for NLP (2018)
  5. Maletti, Andreas: Compositions of tree-to-tree statistical machine translation models (2018)
  6. Uri Alon, Shaked Brody, Omer Levy, Eran Yahav: code2seq: Generating Sequences from Structured Representations of Code (2018) arXiv
  7. Xiaolin Wang; Masao Utiyama; Eiichiro Sumita: CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++ (2018) arXiv
  8. Felix Hieber, Tobias Domhan, Michael Denkowski, David Vilar, Artem Sokolov, Ann Clifton, Matt Post: Sockeye: A Toolkit for Neural Machine Translation (2017) arXiv
  9. Jiacheng Zhang, Yanzhuo Ding, Shiqi Shen, Yong Cheng, Maosong Sun, Huanbo Luan, Yang Liu: THUMT: An Open Source Toolkit for Neural Machine Translation (2017) arXiv
  10. Khanh Nguyen, Hal Daume III, Jordan Boyd-Graber: Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback (2017) arXiv
  11. Agerri, Rodrigo; Rigau, German: Robust multilingual named entity recognition with shallow semi-supervised features (2016) ioport
  12. Fülöp, Zoltán; Maletti, Andreas: Linking theorems for tree transducers (2016)
  13. Maletti, Andreas: Compositions of tree-to-tree statistical machine translation models (2016)
  14. Xiong, Deyi; Meng, Fandong; Liu, Qun: Topic-based term translation models for statistical machine translation (2016) ioport
  15. Costa-Jussà, Marta R.; Farrús, Mireia: Statistical machine translation enhancements through linguistic levels: a survey (2014)
  16. Zhang, Jia-Jun; Zhai, Fei-Fei; Zong, Cheng-Qing: A substitution-translation-restoration framework for handling unknown words in statistical machine translation (2013) ioport
  17. Martínez-Gómez, Pascual; Sanchis-Trilles, Germán; Casacuberta, Francisco: Online adaptation strategies for statistical machine translation in post-editing scenarios (2012)
  18. Navigli, Roberto; Ponzetto, Simone Paolo: BabelNet: the automatic construction, evaluation and application of a wide-coverage multilingual semantic network (2012)
  19. Silvestre-Cerdà, Joan Albert; Andrés-Ferrer, Jesús; Civera, Jorge: Explicit length modelling for statistical machine translation (2012) ioport
  20. Neto, Nelson; Patrick, Carlos; Klautau, Aldebaro; Trancoso, Isabel: Free tools and resources for Brazilian portuguese speech recognition (2011) ioport

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