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MOSES is a statistical machine translation system that allows you to automatically train translation models for any language pair. All you need is a collection of translated texts (parallel corpus). Once you have a trained model, an efficient search algorithm quickly finds the highest probability translation among the exponential number of choices. The project is supported by University of Edinburgh (Scotland), Charles University (Prague, Czech Republic), Fondazione Bruno Kessler - FBK (Trento, Italy), RWTH Aachen (Germany, University of Maryland), College Park (United States), Massachusetts Institute of Technology (United States), US funding agencies DARPA, NSF, and Department of Defence.

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  • Title: MOSES project
  • Rights: hand by Freepik, background photo by Baroni, photo composition by Alessandro Girardi

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