Moses is a statistical machine translation engine that can be used to train statistical models of text translation from a source language to a target language, developed by the University of Edinburgh.

[2] Moses then allows new source-language text to be decoded using these models to produce automatic translations in the target language.

Training requires a parallel corpus of passages in the two languages, typically manually translated sentence pairs.

Moses is free and open-source software, released under the GNU Library Public License (LGPL), and available as source code and binary files for Windows[3] and Linux.

Its development is supported mainly by the EuroMatrix project, with funding by the European Commission.