IST-Unbabel Participation in the WMT20 Quality Estimation Shared Task

João Moura; Miguel Vera; Daan Van Stigt; Fabio Kepler; André F. T. Martins

doi:10.18653/v1/2020.wmt-1.119

IST-Unbabel Participation in the WMT20 Quality Estimation Shared Task

João Moura, Miguel Vera, Daan van Stigt, Fabio Kepler, André F. T. Martins

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Abstract

We present the joint contribution of IST and Unbabel to the WMT 2020 Shared Task on Quality Estimation. Our team participated on all tracks (Direct Assessment, Post-Editing Effort, Document-Level), encompassing a total of 14 submissions. Our submitted systems were developed by extending the OpenKiwi framework to a transformer-based predictor-estimator architecture, and to cope with glass-box, uncertainty-based features coming from neural machine translation systems.

Anthology ID:: 2020.wmt-1.119
Volume:: Proceedings of the Fifth Conference on Machine Translation
Month:: November
Year:: 2020
Address:: Online
Editors:: Loïc Barrault, Ondřej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Alexander Fraser, Yvette Graham, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, André Martins, Makoto Morishita, Christof Monz, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri
Venue:: WMT
SIG:: SIGMT
Publisher:: Association for Computational Linguistics
Note:
Pages:: 1029–1036
Language:
URL:: https://aclanthology.org/2020.wmt-1.119/
DOI:: 10.18653/v1/2020.wmt-1.119
Bibkey:
Cite (ACL):: João Moura, Miguel Vera, Daan van Stigt, Fabio Kepler, and André F. T. Martins. 2020. IST-Unbabel Participation in the WMT20 Quality Estimation Shared Task. In Proceedings of the Fifth Conference on Machine Translation, pages 1029–1036, Online. Association for Computational Linguistics.
Cite (Informal):: IST-Unbabel Participation in the WMT20 Quality Estimation Shared Task (Moura et al., WMT 2020)
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PDF:: https://aclanthology.org/2020.wmt-1.119.pdf
Video:: https://slideslive.com/38939643

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@inproceedings{moura-etal-2020-ist,
    title = "{IST}-Unbabel Participation in the {WMT}20 Quality Estimation Shared Task",
    author = "Moura, Jo{\~a}o  and
      Vera, Miguel  and
      van Stigt, Daan  and
      Kepler, Fabio  and
      Martins, Andr{\'e} F. T.",
    editor = {Barrault, Lo{\"i}c  and
      Bojar, Ond{\v{r}}ej  and
      Bougares, Fethi  and
      Chatterjee, Rajen  and
      Costa-juss{\`a}, Marta R.  and
      Federmann, Christian  and
      Fishel, Mark  and
      Fraser, Alexander  and
      Graham, Yvette  and
      Guzman, Paco  and
      Haddow, Barry  and
      Huck, Matthias  and
      Yepes, Antonio Jimeno  and
      Koehn, Philipp  and
      Martins, Andr{\'e}  and
      Morishita, Makoto  and
      Monz, Christof  and
      Nagata, Masaaki  and
      Nakazawa, Toshiaki  and
      Negri, Matteo},
    booktitle = "Proceedings of the Fifth Conference on Machine Translation",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.wmt-1.119/",
    doi = "10.18653/v1/2020.wmt-1.119",
    pages = "1029--1036",
    abstract = "We present the joint contribution of IST and Unbabel to the WMT 2020 Shared Task on Quality Estimation. Our team participated on all tracks (Direct Assessment, Post-Editing Effort, Document-Level), encompassing a total of 14 submissions. Our submitted systems were developed by extending the OpenKiwi framework to a transformer-based predictor-estimator architecture, and to cope with glass-box, uncertainty-based features coming from neural machine translation systems."
}

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%0 Conference Proceedings
%T IST-Unbabel Participation in the WMT20 Quality Estimation Shared Task
%A Moura, João
%A Vera, Miguel
%A van Stigt, Daan
%A Kepler, Fabio
%A Martins, André F. T.
%Y Barrault, Loïc
%Y Bojar, Ondřej
%Y Bougares, Fethi
%Y Chatterjee, Rajen
%Y Costa-jussà, Marta R.
%Y Federmann, Christian
%Y Fishel, Mark
%Y Fraser, Alexander
%Y Graham, Yvette
%Y Guzman, Paco
%Y Haddow, Barry
%Y Huck, Matthias
%Y Yepes, Antonio Jimeno
%Y Koehn, Philipp
%Y Martins, André
%Y Morishita, Makoto
%Y Monz, Christof
%Y Nagata, Masaaki
%Y Nakazawa, Toshiaki
%Y Negri, Matteo
%S Proceedings of the Fifth Conference on Machine Translation
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F moura-etal-2020-ist
%X We present the joint contribution of IST and Unbabel to the WMT 2020 Shared Task on Quality Estimation. Our team participated on all tracks (Direct Assessment, Post-Editing Effort, Document-Level), encompassing a total of 14 submissions. Our submitted systems were developed by extending the OpenKiwi framework to a transformer-based predictor-estimator architecture, and to cope with glass-box, uncertainty-based features coming from neural machine translation systems.
%R 10.18653/v1/2020.wmt-1.119
%U https://aclanthology.org/2020.wmt-1.119/
%U https://doi.org/10.18653/v1/2020.wmt-1.119
%P 1029-1036

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Markdown (Informal)

[IST-Unbabel Participation in the WMT20 Quality Estimation Shared Task](https://aclanthology.org/2020.wmt-1.119/) (Moura et al., WMT 2020)

IST-Unbabel Participation in the WMT20 Quality Estimation Shared Task (Moura et al., WMT 2020)

ACL

João Moura, Miguel Vera, Daan van Stigt, Fabio Kepler, and André F. T. Martins. 2020. IST-Unbabel Participation in the WMT20 Quality Estimation Shared Task. In Proceedings of the Fifth Conference on Machine Translation, pages 1029–1036, Online. Association for Computational Linguistics.