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

Takako Aikawa, Kentaro Yamamoto, and Hitoshi Isahara

Abstract

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.

Details

Publication typeProceedings
PublisherProceedings of the 8th International Conference on Natural Language Process, Japan
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