eTranslation’s Submissions to the WMT 2021 News Translation Task
Csaba Oravecz, Katina Bontcheva, David Kolovratník, Bhavani Bhaskar, Michael Jellinghaus, Andreas Eisele
Correct Metadata for
Abstract
The paper describes the 3 NMT models submitted by the eTranslation team to the WMT 2021 news translation shared task. We developed systems in language pairs that are actively used in the European Commission’s eTranslation service. In the WMT news task, recent years have seen a steady increase in the need for computational resources to train deep and complex architectures to produce competitive systems. We took a different approach and explored alternative strategies focusing on data selection and filtering to improve the performance of baseline systems. In the domain constrained task for the French–German language pair our approach resulted in the best system by a significant margin in BLEU. For the other two systems (English–German and English-Czech) we tried to build competitive models using standard best practices.- Anthology ID:
- 2021.wmt-1.15
- 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:
- 172–179
- Language:
- URL:
- https://aclanthology.org/2021.wmt-1.15/
- DOI:
- Bibkey:
- Cite (ACL):
- Csaba Oravecz, Katina Bontcheva, David Kolovratník, Bhavani Bhaskar, Michael Jellinghaus, and Andreas Eisele. 2021. eTranslation’s Submissions to the WMT 2021 News Translation Task. In Proceedings of the Sixth Conference on Machine Translation, pages 172–179, Online. Association for Computational Linguistics.
- Cite (Informal):
- eTranslation’s Submissions to the WMT 2021 News Translation Task (Oravecz et al., WMT 2021)
- Copy Citation:
- PDF:
- https://aclanthology.org/2021.wmt-1.15.pdf
Export citation
@inproceedings{oravecz-etal-2021-etranslations,
title = "e{T}ranslation{'}s Submissions to the {WMT} 2021 News Translation Task",
author = "Oravecz, Csaba and
Bontcheva, Katina and
Kolovratn{\'i}k, David and
Bhaskar, Bhavani and
Jellinghaus, Michael and
Eisele, Andreas",
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-1.15/",
pages = "172--179",
abstract = "The paper describes the 3 NMT models submitted by the eTranslation team to the WMT 2021 news translation shared task. We developed systems in language pairs that are actively used in the European Commission{'}s eTranslation service. In the WMT news task, recent years have seen a steady increase in the need for computational resources to train deep and complex architectures to produce competitive systems. We took a different approach and explored alternative strategies focusing on data selection and filtering to improve the performance of baseline systems. In the domain constrained task for the French{--}German language pair our approach resulted in the best system by a significant margin in BLEU. For the other two systems (English{--}German and English-Czech) we tried to build competitive models using standard best practices."
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%0 Conference Proceedings %T eTranslation’s Submissions to the WMT 2021 News Translation Task %A Oravecz, Csaba %A Bontcheva, Katina %A Kolovratník, David %A Bhaskar, Bhavani %A Jellinghaus, Michael %A Eisele, Andreas %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 oravecz-etal-2021-etranslations %X The paper describes the 3 NMT models submitted by the eTranslation team to the WMT 2021 news translation shared task. We developed systems in language pairs that are actively used in the European Commission’s eTranslation service. In the WMT news task, recent years have seen a steady increase in the need for computational resources to train deep and complex architectures to produce competitive systems. We took a different approach and explored alternative strategies focusing on data selection and filtering to improve the performance of baseline systems. In the domain constrained task for the French–German language pair our approach resulted in the best system by a significant margin in BLEU. For the other two systems (English–German and English-Czech) we tried to build competitive models using standard best practices. %U https://aclanthology.org/2021.wmt-1.15/ %P 172-179
Markdown (Informal)
[eTranslation’s Submissions to the WMT 2021 News Translation Task](https://aclanthology.org/2021.wmt-1.15/) (Oravecz et al., WMT 2021)
- eTranslation’s Submissions to the WMT 2021 News Translation Task (Oravecz et al., WMT 2021)
ACL
- Csaba Oravecz, Katina Bontcheva, David Kolovratník, Bhavani Bhaskar, Michael Jellinghaus, and Andreas Eisele. 2021. eTranslation’s Submissions to the WMT 2021 News Translation Task. In Proceedings of the Sixth Conference on Machine Translation, pages 172–179, Online. Association for Computational Linguistics.