Speech-Enabled Computer-Aided Translation: A Satisfaction Survey with Post-Editor Trainees

Abstract

The present study has surveyed post-editor trainees' views and attitudes before and after the introduction of speech technology as a front end to a computer-aided translation workbench. The aim of the survey was (i) to identify attitudes and perceptions among post-editor trainees before performing a post-editing task using automatic speech recognition (ASR); and (ii) to assess the degree to which post-editors' attitudes and expectations to the use of speech technology changed after actually using it. The survey was based on two questionnaires: the first one administered before the participants performed with the ASR system and the second one at the end of the session, once they have actually used ASR while post-editing machine translation outputs. Overall, the results suggest that the surveyed post-editor trainees tended to report a positive view of ASR in the context of post-editing and they would consider adopting ASR as an input method for future post-editing tasks.