Corpus ID: 17848183

Perception vs Reality: Measuring Machine Translation Post-Editing Productivity

@inproceedings{Gaspari2014PerceptionVR,
  title={Perception vs Reality: Measuring Machine Translation Post-Editing Productivity},
  author={F. Gaspari},
  year={2014}
}

F. Gaspari

Published 2014

Computer Science

This paper presents a study of user-perceived vs real machine translation (MT) post-editing effort and productivity gains, focusing on two bidirectional language pairs: English— German and English—Dutch. Twenty experienced media professionals post-edited statistical MT output and also manually translated comparative texts within a production environment. The paper compares the actual post-editing time against the users’ perception of the effort and time required to post-edit the MT output to… CONTINUE READING

computing.dcu.ie

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