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.
Alexander Kalinin and George Savchenko, 2014. Using Crowdsourcing System for Creating Site-Specific Statistical Machine Translation Engine. Asian Journal of Information Technology, 13: 18-20.