Alexander  Kalinin, George  Savchenko, 
    Using Crowdsourcing System for Creating Site-Specific Statistical Machine Translation Engine,
    Asian Journal of Information Technology,
    Volume 13,Issue 1,
    2014,
    Pages 18-20,
    ISSN 1682-3915,
    ajit.2014.18.20,
    (https://makhillpublications.co/view-article.php?doi=ajit.2014.18.20)
    Abstract: A crowdsourcing translation approach is a good tool for globalization 
  of site content but it is also a good source of parallel linguistic data. For 
  the given site, processed with a crowdsourcing system, a sentence aligned corpus 
  can be fetched which covers a very narrow domain of terminology and language 
  patterns a site specific domain. These data can be used for training and estimation 
  of site-specific SMT engine.
    Keywords: Globalization;fetched;site-specific;estimation;training