APE-QUEST: an MT Quality Gate
Heidi Depraetere, Joachim Van den Bogaert, Sara Szoc, Tom Vanallemeersch
Correct Metadata for
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
Export citation
@inproceedings{depraetere-etal-2020-ape,
title = "{APE}-{QUEST}: an {MT} Quality Gate",
author = "Depraetere, Heidi and
Van den Bogaert, Joachim and
Szoc, Sara and
Vanallemeersch, Tom",
editor = "Martins, Andr{\'e} and
Moniz, Helena and
Fumega, Sara and
Martins, Bruno and
Batista, Fernando and
Coheur, Luisa and
Parra, Carla and
Trancoso, Isabel and
Turchi, Marco and
Bisazza, Arianna and
Moorkens, Joss and
Guerberof, Ana and
Nurminen, Mary and
Marg, Lena and
Forcada, Mikel L.",
booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation",
month = nov,
year = "2020",
address = "Lisboa, Portugal",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/2020.eamt-1.58/",
pages = "473--474",
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."
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%0 Conference Proceedings %T APE-QUEST: an MT Quality Gate %A Depraetere, Heidi %A Van den Bogaert, Joachim %A Szoc, Sara %A Vanallemeersch, Tom %Y Martins, André %Y Moniz, Helena %Y Fumega, Sara %Y Martins, Bruno %Y Batista, Fernando %Y Coheur, Luisa %Y Parra, Carla %Y Trancoso, Isabel %Y Turchi, Marco %Y Bisazza, Arianna %Y Moorkens, Joss %Y Guerberof, Ana %Y Nurminen, Mary %Y Marg, Lena %Y Forcada, Mikel L. %S Proceedings of the 22nd Annual Conference of the European Association for Machine Translation %D 2020 %8 November %I European Association for Machine Translation %C Lisboa, Portugal %F depraetere-etal-2020-ape %X 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. %U https://aclanthology.org/2020.eamt-1.58/ %P 473-474
Markdown (Informal)
[APE-QUEST: an MT Quality Gate](https://aclanthology.org/2020.eamt-1.58/) (Depraetere et al., EAMT 2020)
- APE-QUEST: an MT Quality Gate (Depraetere et al., EAMT 2020)
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.