APE-QUEST: an MT Quality Gate

Heidi Depraetere, Joachim Van den Bogaert, Sara Szoc, Tom Vanallemeersch


Abstract
The APE-QUEST project (2018–2020) sets up a quality gate and crowdsourcing workflow for the eTranslation system of EC’s Connecting Europe Facility to improve translation quality in specific domains. It packages these services as a translation portal for machine-to-machine and machine-to-human scenarios.
Anthology ID:
2020.eamt-1.58
Volume:
Proceedings of the 22nd Annual Conference of the European Association for Machine Translation
Month:
November
Year:
2020
Address:
Lisboa, Portugal
Editors:
André Martins, Helena Moniz, Sara Fumega, Bruno Martins, Fernando Batista, Luisa Coheur, Carla Parra, Isabel Trancoso, Marco Turchi, Arianna Bisazza, Joss Moorkens, Ana Guerberof, Mary Nurminen, Lena Marg, Mikel L. Forcada
Venue:
EAMT
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
473–474
Language:
URL:
https://aclanthology.org/2020.eamt-1.58
DOI:
Bibkey:
Cite (ACL):
Heidi Depraetere, Joachim Van den Bogaert, Sara Szoc, and Tom Vanallemeersch. 2020. APE-QUEST: an MT Quality Gate. In Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, pages 473–474, Lisboa, Portugal. European Association for Machine Translation.
Cite (Informal):
APE-QUEST: an MT Quality Gate (Depraetere et al., EAMT 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.eamt-1.58.pdf