Tutorial on Moses tool usex

 EXPERIMENTAL SETUP: MOSES Moses is a statistical machine translation system that allows us to automatically train translation models for any language pair. All we 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...) 1 STEP‐BY‐STEP INSTALLATION 1.1 Get the latest release of Moses  First of all we need to download the latest release of Moses. To do so, we have to install SVN (subversion) which is a version control utility. To install it, write in a shell: $ sudo apt‐get install subversion  Then, obtain the latest: $ mkdir ~/mosesdecoder $ cd ~ $ svn co https://svn.sourceforge.net/svnroot/mosesdecoder/trunk mosesdecoder  This will copy all of the Moses source code to your local machine. 1.2 Get SRILM  SRILM is a toolkit for building and applying statistical language models (LMs), primarily for use in speech recognition, statistical tagging and segmentation. It has been under development in the SRI Speech Technology and Research Laboratory since 1995. Moses depends on SRILM to compile and to create LM's and translations. We can download SRILM code from: ...