The Impact of Crowdsourcing Post-editing with the Collaborative Translation Framework

This paper presents a preliminary report on the impact of

crowdsourcing post-editing through the so-called “Collaborative Translation

Framework” (CTF) developed by the Machine Translation team at Microsoft

Research. We first provide a high-level overview of CTF and explain the basic

functionalities available from CTF. Next, we provide the motivation and design

of our crowdsourcing post-editing project using CTF. Last, we present the results

from the project and our observations. Crowdsourcing translation is an increasingly

popular-trend in the MT community, and we hope that our paper can

shed new light on the research into crowdsourcing translation.

JapTal2012.pdf
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Publisher  Proceedings of the 8th International Conference on Natural Language Process, Japan

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TypeProceedings
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