LIUM’s Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs
Fethi Bougares, Jane Wottawa, Anne Baillot, Loïc Barrault, Adrien Bardet
Abstract
This paper describes the neural machine translation (NMT) systems of the LIUM Laboratory developed for the French↔German news translation task of the Fourth Conference onMachine Translation (WMT 2019). The chosen language pair is included for the first time in the WMT news translation task. We de-scribe how the training and the evaluation data was created. We also present our participation in the French↔German translation directions using self-attentional Transformer networks with small and big architectures.- Anthology ID:
- W19-5307
- 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:
- 129–133
- Language:
- URL:
- https://aclanthology.org/W19-5307
- DOI:
- 10.18653/v1/W19-5307
- Bibkey:
- Cite (ACL):
- Fethi Bougares, Jane Wottawa, Anne Baillot, Loïc Barrault, and Adrien Bardet. 2019. LIUM’s Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 129–133, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- LIUM’s Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs (Bougares et al., WMT 2019)
- Copy Citation:
- PDF:
- https://aclanthology.org/W19-5307.pdf
Export citation
@inproceedings{bougares-etal-2019-liums,
title = "{LIUM}{'}s Contributions to the {WMT}2019 News Translation Task: Data and Systems for {G}erman-{F}rench Language Pairs",
author = {Bougares, Fethi and
Wottawa, Jane and
Baillot, Anne and
Barrault, Lo{\"\i}c and
Bardet, Adrien},
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/W19-5307",
doi = "10.18653/v1/W19-5307",
pages = "129--133",
abstract = "This paper describes the neural machine translation (NMT) systems of the LIUM Laboratory developed for the French↔German news translation task of the Fourth Conference onMachine Translation (WMT 2019). The chosen language pair is included for the first time in the WMT news translation task. We de-scribe how the training and the evaluation data was created. We also present our participation in the French↔German translation directions using self-attentional Transformer networks with small and big architectures.",
}
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%0 Conference Proceedings %T LIUM’s Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs %A Bougares, Fethi %A Wottawa, Jane %A Baillot, Anne %A Barrault, Loïc %A Bardet, Adrien %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 bougares-etal-2019-liums %X This paper describes the neural machine translation (NMT) systems of the LIUM Laboratory developed for the French↔German news translation task of the Fourth Conference onMachine Translation (WMT 2019). The chosen language pair is included for the first time in the WMT news translation task. We de-scribe how the training and the evaluation data was created. We also present our participation in the French↔German translation directions using self-attentional Transformer networks with small and big architectures. %R 10.18653/v1/W19-5307 %U https://aclanthology.org/W19-5307 %U https://doi.org/10.18653/v1/W19-5307 %P 129-133
Markdown (Informal)
[LIUM’s Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs](https://aclanthology.org/W19-5307) (Bougares et al., WMT 2019)
- LIUM’s Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs (Bougares et al., WMT 2019)
ACL
- Fethi Bougares, Jane Wottawa, Anne Baillot, Loïc Barrault, and Adrien Bardet. 2019. LIUM’s Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1), pages 129–133, Florence, Italy. Association for Computational Linguistics.