DA + Criteria: A New Quality Assessment Method for Bridging the Gap Between Human and Machine Translation

Bettina Hiebl


Abstract
DA + Criteria is a translation quality assessment method proposed based on a comprehensive systematic literature review on the concepts of quality in machine translation and translation studies. In the presented project the method was tested alongside MQM on the German translations by humans, DeepL and ChatGPT of English non-fiction texts, using the results of the study as well as the participants’ answers to further refine the method.
Anthology ID:
2026.eamt-2.13
Volume:
Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2)
Month:
June
Year:
2026
Address:
Tilburg, The Netherlands
Editors:
Dimitar Shterionov, Eva Vanmassenhove, Mirella De Sisto, Fred Blain, Javad Pourmostafa Roshan Sharami, Lisa Lepp, Chiara Manna, Argentina Anna Rescigno, Alina Karakanta, Ayla Rigouts Terryn, Manuel Lardelli, Natalia Resende, Elena Murgolo, Janiça Hackenbuchner, Anna Zaretskaya, Miquel Esplà-Gomis, Thierry Etchegoyhen, Dagmar Gromann, Rachel Bawden, Barry Haddow, Sara Szoc, Mikel Forcada, Helena Moniz
Venue:
EAMT
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
27–28
Language:
URL:
https://aclanthology.org/2026.eamt-2.13/
DOI:
Bibkey:
Cite (ACL):
Bettina Hiebl. 2026. DA + Criteria: A New Quality Assessment Method for Bridging the Gap Between Human and Machine Translation. In Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2), pages 27–28, Tilburg, The Netherlands. European Association for Machine Translation.
Cite (Informal):
DA + Criteria: A New Quality Assessment Method for Bridging the Gap Between Human and Machine Translation (Hiebl, EAMT 2026)
Copy Citation:
PDF:
https://aclanthology.org/2026.eamt-2.13.pdf