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

  • Takako Aikawa

Published by Proceedings of the 8th International Conference on Natural Language Process, Japan

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.