SYSTRAN @ WMT 2021: Terminology Task
Minh Quang Pham, Josep Crego, Antoine Senellart, Dan Berrebbi, Jean Senellart
Correct Metadata for
Abstract
This paper describes SYSTRAN submissions to the WMT 2021 terminology shared task. We participate in the English-to-French translation direction with a standard Transformer neural machine translation network that we enhance with the ability to dynamically include terminology constraints, a very common industrial practice. Two state-of-the-art terminology insertion methods are evaluated based (i) on the use of placeholders complemented with morphosyntactic annotation and (ii) on the use of target constraints injected in the source stream. Results show the suitability of the presented approaches in the evaluated scenario where terminology is used in a system trained on generic data only.- Anthology ID:
- 2021.wmt-1.84
- 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:
- 842–850
- Language:
- URL:
- https://aclanthology.org/2021.wmt-1.84/
- DOI:
- Bibkey:
- Cite (ACL):
- Minh Quang Pham, Josep Crego, Antoine Senellart, Dan Berrebbi, and Jean Senellart. 2021. SYSTRAN @ WMT 2021: Terminology Task. In Proceedings of the Sixth Conference on Machine Translation, pages 842–850, Online. Association for Computational Linguistics.
- Cite (Informal):
- SYSTRAN @ WMT 2021: Terminology Task (Pham et al., WMT 2021)
- Copy Citation:
- PDF:
- https://aclanthology.org/2021.wmt-1.84.pdf
Export citation
@inproceedings{pham-etal-2021-systran,
title = "{SYSTRAN} @ {WMT} 2021: Terminology Task",
author = "Pham, Minh Quang and
Crego, Josep and
Senellart, Antoine and
Berrebbi, Dan and
Senellart, Jean",
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-1.84/",
pages = "842--850",
abstract = "This paper describes SYSTRAN submissions to the WMT 2021 terminology shared task. We participate in the English-to-French translation direction with a standard Transformer neural machine translation network that we enhance with the ability to dynamically include terminology constraints, a very common industrial practice. Two state-of-the-art terminology insertion methods are evaluated based (i) on the use of placeholders complemented with morphosyntactic annotation and (ii) on the use of target constraints injected in the source stream. Results show the suitability of the presented approaches in the evaluated scenario where terminology is used in a system trained on generic data only."
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%0 Conference Proceedings %T SYSTRAN @ WMT 2021: Terminology Task %A Pham, Minh Quang %A Crego, Josep %A Senellart, Antoine %A Berrebbi, Dan %A Senellart, Jean %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 pham-etal-2021-systran %X This paper describes SYSTRAN submissions to the WMT 2021 terminology shared task. We participate in the English-to-French translation direction with a standard Transformer neural machine translation network that we enhance with the ability to dynamically include terminology constraints, a very common industrial practice. Two state-of-the-art terminology insertion methods are evaluated based (i) on the use of placeholders complemented with morphosyntactic annotation and (ii) on the use of target constraints injected in the source stream. Results show the suitability of the presented approaches in the evaluated scenario where terminology is used in a system trained on generic data only. %U https://aclanthology.org/2021.wmt-1.84/ %P 842-850
Markdown (Informal)
[SYSTRAN @ WMT 2021: Terminology Task](https://aclanthology.org/2021.wmt-1.84/) (Pham et al., WMT 2021)
- SYSTRAN @ WMT 2021: Terminology Task (Pham et al., WMT 2021)
ACL
- Minh Quang Pham, Josep Crego, Antoine Senellart, Dan Berrebbi, and Jean Senellart. 2021. SYSTRAN @ WMT 2021: Terminology Task. In Proceedings of the Sixth Conference on Machine Translation, pages 842–850, Online. Association for Computational Linguistics.