page_title: Moses for Mere Mortals
section_title: General features
hierarchical_section_title: Moses for Mere Mortals / General features
caption_attribution_description: Português: Esquema dos diferentes componentes do MMM - Moses for Mere Mortals
context_page_description: Moses for Mere Mortals is a free open source software composed of a set of scripts designed to allow the automation of processes for the installation and operation of the Moses Open Source Translation System, a statistical machine translation system.
  MMM builds a translation chain prototype with Moses + IRSTLM + RandLM + MGIZA.
  The first version of Moses for Mere Mortals was published in November 2009, and it has been updated and tested on Linux - Ubuntu distributions. MMM is available in the GitHub Project Hosting website.
context_section_description: Moses allows the training of corpora where every word is presented together with, for instance, its respective lemma and/or part of speech tag (“factored training”). The scripts do not cover this type of training.
  MMM consists of seven scripts for Linux, thoroughly tested with Ubuntu (12.04 and 14.04, 64-bit):
  Install: To install in Ubuntu the packages on which both Moses and Moses for Mere Mortals depend.
  Create: To compile Moses and the other required packages with a single command.
  Make-test-files: To extract from the original corpus a corpus for training, files for tuning and files for testing the training results.
  Train: To train the language pairs needed, as Moses is language-independent and can work with any language/alphabet.
  Translate: To produce machine translations of new documents.
  Score: To automatically evaluate Moses translations against a human translation taken as a gold standard, using BLEU and NIST metrics algorithms, in order to have an idea of the level of performance.
  Transfer training-to-another-location: To transfer engines/trainings to other folders in the same computer or to a different computer.
  MMM comes with a 200,000-segment demonstration corpus — which is too small to do justice to the qualitative results achievable with Moses, but capable of giving a realistic view of the relative duration of the steps involved and useful to test whether the installation was correctly done. In order to get good results, one generally needs a corpus with several million segments. Each orthogonal corpus consists of two strictly aligned UTF-8 files, one in the source language and the other in the target language. No grammar knowledge is required, though some language pairs give better results than others. In a general way, morphologically rich languages give worse results.
caption: Overview
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