Moses is a statistical machine translation system that allows you to automatically train translation models for any language pair. All that is needed is a parallel corpus, i.e., texts in two languages that are translations of each other. Moses supports a variety of features, including n-gram language models, factored translation models, discriminative reordering, and minimum error rate training (MERT). It is commonly used for research and development of machine translation systems.
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