eTranslation’s Submissions to the WMT 2019 News Translation Task
Csaba Oravecz, Katina Bontcheva, Adrien Lardilleux, László Tihanyi, Andreas Eisele
Correct Metadata for
Abstract
This paper describes the submissions of the eTranslation team to the WMT 2019 news translation shared task. The systems have been developed with the aim of identifying and following rather than establishing best practices, under the constraints imposed by a low resource training and decoding environment normally used for our production systems. Thus most of the findings and results are transferable to systems used in the eTranslation service. Evaluations suggest that this approach is able to produce decent models with good performance and speed without the overhead of using prohibitively deep and complex architectures.- Anthology ID:
- W19-5334
- Volume:
- Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
- Month:
- August
- Year:
- 2019
- Address:
- Florence, Italy
- Editors:
- Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, André Martins, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana Neves, Matt Post, Marco Turchi, Karin Verspoor
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 320–326
- Language:
- URL:
- https://aclanthology.org/W19-5334/
- DOI:
- 10.18653/v1/W19-5334
- Bibkey:
- Cite (ACL):
- Csaba Oravecz, Katina Bontcheva, Adrien Lardilleux, László Tihanyi, and Andreas Eisele. 2019. eTranslation’s Submissions to the WMT 2019 News Translation Task. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 320–326, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- eTranslation’s Submissions to the WMT 2019 News Translation Task (Oravecz et al., WMT 2019)
- Copy Citation:
- PDF:
- https://aclanthology.org/W19-5334.pdf
- Poster:
- W19-5334.Poster.pdf
Export citation
@inproceedings{oravecz-etal-2019-etranslations,
title = "e{T}ranslation{'}s Submissions to the {WMT} 2019 News Translation Task",
author = "Oravecz, Csaba and
Bontcheva, Katina and
Lardilleux, Adrien and
Tihanyi, L{\'a}szl{\'o} and
Eisele, Andreas",
editor = "Bojar, Ond{\v{r}}ej and
Chatterjee, Rajen and
Federmann, Christian and
Fishel, Mark and
Graham, Yvette and
Haddow, Barry and
Huck, Matthias and
Yepes, Antonio Jimeno and
Koehn, Philipp and
Martins, Andr{\'e} and
Monz, Christof and
Negri, Matteo and
N{\'e}v{\'e}ol, Aur{\'e}lie and
Neves, Mariana and
Post, Matt and
Turchi, Marco and
Verspoor, Karin",
booktitle = "Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-5334/",
doi = "10.18653/v1/W19-5334",
pages = "320--326",
abstract = "This paper describes the submissions of the eTranslation team to the WMT 2019 news translation shared task. The systems have been developed with the aim of identifying and following rather than establishing best practices, under the constraints imposed by a low resource training and decoding environment normally used for our production systems. Thus most of the findings and results are transferable to systems used in the eTranslation service. Evaluations suggest that this approach is able to produce decent models with good performance and speed without the overhead of using prohibitively deep and complex architectures."
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%0 Conference Proceedings %T eTranslation’s Submissions to the WMT 2019 News Translation Task %A Oravecz, Csaba %A Bontcheva, Katina %A Lardilleux, Adrien %A Tihanyi, László %A Eisele, Andreas %Y Bojar, Ondřej %Y Chatterjee, Rajen %Y Federmann, Christian %Y Fishel, Mark %Y Graham, Yvette %Y Haddow, Barry %Y Huck, Matthias %Y Yepes, Antonio Jimeno %Y Koehn, Philipp %Y Martins, André %Y Monz, Christof %Y Negri, Matteo %Y Névéol, Aurélie %Y Neves, Mariana %Y Post, Matt %Y Turchi, Marco %Y Verspoor, Karin %S Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1) %D 2019 %8 August %I Association for Computational Linguistics %C Florence, Italy %F oravecz-etal-2019-etranslations %X This paper describes the submissions of the eTranslation team to the WMT 2019 news translation shared task. The systems have been developed with the aim of identifying and following rather than establishing best practices, under the constraints imposed by a low resource training and decoding environment normally used for our production systems. Thus most of the findings and results are transferable to systems used in the eTranslation service. Evaluations suggest that this approach is able to produce decent models with good performance and speed without the overhead of using prohibitively deep and complex architectures. %R 10.18653/v1/W19-5334 %U https://aclanthology.org/W19-5334/ %U https://doi.org/10.18653/v1/W19-5334 %P 320-326
Markdown (Informal)
[eTranslation’s Submissions to the WMT 2019 News Translation Task](https://aclanthology.org/W19-5334/) (Oravecz et al., WMT 2019)
- eTranslation’s Submissions to the WMT 2019 News Translation Task (Oravecz et al., WMT 2019)
ACL
- Csaba Oravecz, Katina Bontcheva, Adrien Lardilleux, László Tihanyi, and Andreas Eisele. 2019. eTranslation’s Submissions to the WMT 2019 News Translation Task. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 320–326, Florence, Italy. Association for Computational Linguistics.