Statistical machine translation system
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). * beam-search: an efficient search algorithm finds quickly the highest probability translation among the exponential number of choices * phrase-based: the state-of-the-art in statistical machine translation allows the translation of short text chunks * factored: words may have factored representation (surface forms, lemma, part-of-speech, morphology, word classes...) Features: * Moses is a drop-in replacement for Pharaoh, the popular phrase-based decoder, with many extensions. * Moses allows the decoding of confusion networks, enabling easy integration with ambiguous upstream tools, such as automatic speech recognizers * Moses features novel factored translation models, which enable the integration linguistic and other information at many stages of the translation process
Source Files
Filename | Size | Changed | Actions |
---|---|---|---|
fix-missing-header.patch | 0000000762762 Bytes | 15148884434 months ago | ![]() |
link-internal-libraries.patch | 0000000802802 Bytes | 15148884444 months ago | ![]() |
link-with-boost_system.patch | 0000000754754 Bytes | 15148884444 months ago | ![]() |
moses-20120409.tar.bz2 | 00054272915.18 MB | 1334069928about 6 years ago | |
moses.spec | 00000047594.65 KB | 15173959653 months ago | ![]() |
no-return-in-nonvoid-function.patch | 00000015631.53 KB | 1282506320over 7 years ago | ![]() |