Using crowdsourcing system for creating site-specific statistical machine translation engine
Computation and Language
2014-09-22 v1
Abstract
A crowdsourcing translation approach is an effective tool for globalization of site content, but it is also an important 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 statistical machine translation engine
Keywords
Cite
@article{arxiv.1409.5502,
title = {Using crowdsourcing system for creating site-specific statistical machine translation engine},
author = {Alexander Kalinin and George Savchenko},
journal= {arXiv preprint arXiv:1409.5502},
year = {2014}
}