Peer-Reviewed Journal Details
Mandatory Fields
Castilho, Sheila and Sharon O'Brien
Linguistica Antverpiensia
Acceptability of machine-translated content: A multi-language evaluation by translators and end-users
In Press
Optional Fields
As machine translation (MT) continues to be used increasingly in the translation industry, there is a corresponding increase in the need to understand MT quality and, in particular, its impact on end-users. To date, little work has been carried out to investigate the acceptability of MT output among end-users and, ultimately, how acceptable they find it. This article reports on research conducted to address that gap. End-users of instructional content machine-translated from English into German, Simplified Chinese and Japanese were engaged in a usability experiment. Part of this experiment involved giving feedback on the acceptability of raw machine-translated content and lightly post-edited (PE) versions of the same content. In addition, a quality review was carried out in collaboration with an industry partner and experienced translation quality reviewers. The translation quality-assessment (TQA) results from translators reflect the usability and satisfaction results by end-users insofar as the implementation of light PE both increased the usability and acceptability of the PE instructions and led to satisfaction being reported. Nonetheless, the raw MT content also received good scores, especially for terminology, country standards and spelling.
Grant Details