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:
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2020.eamt-1.58.pdf