QUARTZ: Quality-Aware Machine Translation

José G.C. de Souza, Ricardo Rei, Ana C. Farinha, Helena Moniz, André F. T. Martins


Abstract
This paper presents QUARTZ, QUality-AwaRe machine Translation, a project led by Unbabel which aims at developing machine translation systems that are more robust and produce fewer critical errors. With QUARTZ we want to enable machine translation for user-generated conversational content types that do not tolerate critical errors in automatic translations.
Anthology ID:
2022.eamt-1.47
Volume:
Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
Month:
June
Year:
2022
Address:
Ghent, Belgium
Editors:
Helena Moniz, Lieve Macken, Andrew Rufener, Loïc Barrault, Marta R. Costa-jussà, Christophe Declercq, Maarit Koponen, Ellie Kemp, Spyridon Pilos, Mikel L. Forcada, Carolina Scarton, Joachim Van den Bogaert, Joke Daems, Arda Tezcan, Bram Vanroy, Margot Fonteyne
Venue:
EAMT
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
315–316
Language:
URL:
https://aclanthology.org/2022.eamt-1.47
DOI:
Bibkey:
Cite (ACL):
José G.C. de Souza, Ricardo Rei, Ana C. Farinha, Helena Moniz, and André F. T. Martins. 2022. QUARTZ: Quality-Aware Machine Translation. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 315–316, Ghent, Belgium. European Association for Machine Translation.
Cite (Informal):
QUARTZ: Quality-Aware Machine Translation (de Souza et al., EAMT 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.eamt-1.47.pdf