An Eye-Tracking Study on the Use of Machine Translation Post-Editing and Automatic Speech Recognition in Translations for the Medical Domain

Raluca Chereji


Abstract
This EAMT-funded eye-tracking study investigates the impact of Machine Translation Post-Editing and Automatic Speech Recognition on English-Romanian translations of patient-facing medical texts. This paper provides an overview of the study objectives, setup and preliminary results.
Anthology ID:
2024.eamt-2.6
Volume:
Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2)
Month:
June
Year:
2024
Address:
Sheffield, UK
Editors:
Carolina Scarton, Charlotte Prescott, Chris Bayliss, Chris Oakley, Joanna Wright, Stuart Wrigley, Xingyi Song, Edward Gow-Smith, Mikel Forcada, Helena Moniz
Venue:
EAMT
SIG:
Publisher:
European Association for Machine Translation (EAMT)
Note:
Pages:
10–11
Language:
URL:
https://aclanthology.org/2024.eamt-2.6
DOI:
Bibkey:
Cite (ACL):
Raluca Chereji. 2024. An Eye-Tracking Study on the Use of Machine Translation Post-Editing and Automatic Speech Recognition in Translations for the Medical Domain. In Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2), pages 10–11, Sheffield, UK. European Association for Machine Translation (EAMT).
Cite (Informal):
An Eye-Tracking Study on the Use of Machine Translation Post-Editing and Automatic Speech Recognition in Translations for the Medical Domain (Chereji, EAMT 2024)
Copy Citation:
PDF:
https://aclanthology.org/2024.eamt-2.6.pdf