Asian Journal of Information Technology

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Using Crowdsourcing System for Creating Site-Specific Statistical Machine Translation Engine

Alexander Kalinin and George Savchenko
Page: 18-20 | Received 21 Sep 2022, Published online: 21 Sep 2022

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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.

How to cite this article:

Alexander Kalinin and George Savchenko. Using Crowdsourcing System for Creating Site-Specific Statistical Machine Translation Engine.
DOI: https://doi.org/10.36478/ajit.2014.18.20
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2014.18.20