@article{MAKHILLAJIT20141315793,
    title = {Using Crowdsourcing System for Creating Site-Specific Statistical Machine Translation Engine},
    journal = {Asian Journal of Information Technology},
    volume = {13},
    number = {1},
    pages = {18-20},
    year = {2014},
    issn = {1682-3915},
    doi = {ajit.2014.18.20},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2014.18.20},
    author = {Alexander and},
    keywords = {Globalization,fetched,site-specific,estimation,training},
    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.}
    }