Using crowdsourcing system for creating site-specific statistical machine translation engine

Alexander Kalinin; George Savchenko

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arXiv · 1409.5502

Using crowdsourcing system for creating site-specific statistical machine translation engine

Alexander Kalinin·George Savchenko

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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

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Alexander Kalinin, George Savchenko. 2014-09-19. Using crowdsourcing system for creating site-specific statistical machine translation engine. https://arxiv.org/abs/1409.5502

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