IST-Unbabel 2021 Submission for the Quality Estimation Shared Task
Chrysoula Zerva, Daan van Stigt, Ricardo Rei, Ana C Farinha, Pedro Ramos, José G. C. de Souza, Taisiya Glushkova, Miguel Vera, Fabio Kepler, André F. T. Martins
Abstract
We present the joint contribution of IST and Unbabel to the WMT 2021 Shared Task on Quality Estimation. Our team participated on two tasks: Direct Assessment and Post-Editing Effort, encompassing a total of 35 submissions. For all submissions, our efforts focused on training multilingual models on top of OpenKiwi predictor-estimator architecture, using pre-trained multilingual encoders combined with adapters. We further experiment with and uncertainty-related objectives and features as well as training on out-of-domain direct assessment data.- Anthology ID:
- 2021.wmt-1.102
- Volume:
- Proceedings of the Sixth Conference on Machine Translation
- Month:
- November
- Year:
- 2021
- Address:
- Online
- Editors:
- Loic Barrault, Ondrej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussa, Christian Federmann, Mark Fishel, Alexander Fraser, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Tom Kocmi, Andre Martins, Makoto Morishita, Christof Monz
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 961–972
- Language:
- URL:
- https://aclanthology.org/2021.wmt-1.102
- DOI:
- Bibkey:
- Cite (ACL):
- Chrysoula Zerva, Daan van Stigt, Ricardo Rei, Ana C Farinha, Pedro Ramos, José G. C. de Souza, Taisiya Glushkova, Miguel Vera, Fabio Kepler, and André F. T. Martins. 2021. IST-Unbabel 2021 Submission for the Quality Estimation Shared Task. In Proceedings of the Sixth Conference on Machine Translation, pages 961–972, Online. Association for Computational Linguistics.
- Cite (Informal):
- IST-Unbabel 2021 Submission for the Quality Estimation Shared Task (Zerva et al., WMT 2021)
- Copy Citation:
- PDF:
- https://aclanthology.org/2021.wmt-1.102.pdf
Export citation
@inproceedings{zerva-etal-2021-ist,
title = "{IST}-Unbabel 2021 Submission for the Quality Estimation Shared Task",
author = "Zerva, Chrysoula and
van Stigt, Daan and
Rei, Ricardo and
Farinha, Ana C and
Ramos, Pedro and
C. de Souza, Jos{\'e} G. and
Glushkova, Taisiya and
Vera, Miguel and
Kepler, Fabio and
Martins, Andr{\'e} F. T.",
editor = "Barrault, Loic and
Bojar, Ondrej and
Bougares, Fethi and
Chatterjee, Rajen and
Costa-jussa, Marta R. and
Federmann, Christian and
Fishel, Mark and
Fraser, Alexander and
Freitag, Markus and
Graham, Yvette and
Grundkiewicz, Roman and
Guzman, Paco and
Haddow, Barry and
Huck, Matthias and
Yepes, Antonio Jimeno and
Koehn, Philipp and
Kocmi, Tom and
Martins, Andre and
Morishita, Makoto and
Monz, Christof",
booktitle = "Proceedings of the Sixth Conference on Machine Translation",
month = nov,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.wmt-1.102",
pages = "961--972",
abstract = "We present the joint contribution of IST and Unbabel to the WMT 2021 Shared Task on Quality Estimation. Our team participated on two tasks: Direct Assessment and Post-Editing Effort, encompassing a total of 35 submissions. For all submissions, our efforts focused on training multilingual models on top of OpenKiwi predictor-estimator architecture, using pre-trained multilingual encoders combined with adapters. We further experiment with and uncertainty-related objectives and features as well as training on out-of-domain direct assessment data.",
}
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%0 Conference Proceedings %T IST-Unbabel 2021 Submission for the Quality Estimation Shared Task %A Zerva, Chrysoula %A van Stigt, Daan %A Rei, Ricardo %A Farinha, Ana C. %A Ramos, Pedro %A C. de Souza, José G. %A Glushkova, Taisiya %A Vera, Miguel %A Kepler, Fabio %A Martins, André F. T. %Y Barrault, Loic %Y Bojar, Ondrej %Y Bougares, Fethi %Y Chatterjee, Rajen %Y Costa-jussa, Marta R. %Y Federmann, Christian %Y Fishel, Mark %Y Fraser, Alexander %Y Freitag, Markus %Y Graham, Yvette %Y Grundkiewicz, Roman %Y Guzman, Paco %Y Haddow, Barry %Y Huck, Matthias %Y Yepes, Antonio Jimeno %Y Koehn, Philipp %Y Kocmi, Tom %Y Martins, Andre %Y Morishita, Makoto %Y Monz, Christof %S Proceedings of the Sixth Conference on Machine Translation %D 2021 %8 November %I Association for Computational Linguistics %C Online %F zerva-etal-2021-ist %X We present the joint contribution of IST and Unbabel to the WMT 2021 Shared Task on Quality Estimation. Our team participated on two tasks: Direct Assessment and Post-Editing Effort, encompassing a total of 35 submissions. For all submissions, our efforts focused on training multilingual models on top of OpenKiwi predictor-estimator architecture, using pre-trained multilingual encoders combined with adapters. We further experiment with and uncertainty-related objectives and features as well as training on out-of-domain direct assessment data. %U https://aclanthology.org/2021.wmt-1.102 %P 961-972
Markdown (Informal)
[IST-Unbabel 2021 Submission for the Quality Estimation Shared Task](https://aclanthology.org/2021.wmt-1.102) (Zerva et al., WMT 2021)
- IST-Unbabel 2021 Submission for the Quality Estimation Shared Task (Zerva et al., WMT 2021)
ACL
- Chrysoula Zerva, Daan van Stigt, Ricardo Rei, Ana C Farinha, Pedro Ramos, José G. C. de Souza, Taisiya Glushkova, Miguel Vera, Fabio Kepler, and André F. T. Martins. 2021. IST-Unbabel 2021 Submission for the Quality Estimation Shared Task. In Proceedings of the Sixth Conference on Machine Translation, pages 961–972, Online. Association for Computational Linguistics.