The SPECTRANS System Description for the WMT21 Terminology Task
Nicolas Ballier, Dahn Cho, Bilal Faye, Zong-You Ke, Hanna Martikainen, Mojca Pecman, Guillaume Wisniewski, Jean-Baptiste Yunès, Lichao Zhu, Maria Zimina-Poirot
Correct Metadata for
Abstract
This paper discusses the WMT 2021 terminology shared task from a “meta” perspective. We present the results of our experiments using the terminology dataset and the OpenNMT (Klein et al., 2017) and JoeyNMT (Kreutzer et al., 2019) toolkits for the language direction English to French. Our experiment 1 compares the predictions of the two toolkits. Experiment 2 uses OpenNMT to fine-tune the model. We report our results for the task with the evaluation script but mostly discuss the linguistic properties of the terminology dataset provided for the task. We provide evidence of the importance of text genres across scores, having replicated the evaluation scripts.- Anthology ID:
- 2021.wmt-1.80
- 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:
- 813–820
- Language:
- URL:
- https://aclanthology.org/2021.wmt-1.80/
- DOI:
- Bibkey:
- Cite (ACL):
- Nicolas Ballier, Dahn Cho, Bilal Faye, Zong-You Ke, Hanna Martikainen, Mojca Pecman, Guillaume Wisniewski, Jean-Baptiste Yunès, Lichao Zhu, and Maria Zimina-Poirot. 2021. The SPECTRANS System Description for the WMT21 Terminology Task. In Proceedings of the Sixth Conference on Machine Translation, pages 813–820, Online. Association for Computational Linguistics.
- Cite (Informal):
- The SPECTRANS System Description for the WMT21 Terminology Task (Ballier et al., WMT 2021)
- Copy Citation:
- PDF:
- https://aclanthology.org/2021.wmt-1.80.pdf
Export citation
@inproceedings{ballier-etal-2021-spectrans,
title = "The {SPECTRANS} System Description for the {WMT}21 Terminology Task",
author = "Ballier, Nicolas and
Cho, Dahn and
Faye, Bilal and
Ke, Zong-You and
Martikainen, Hanna and
Pecman, Mojca and
Wisniewski, Guillaume and
Yun{\`e}s, Jean-Baptiste and
Zhu, Lichao and
Zimina-Poirot, Maria",
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-1.80/",
pages = "813--820",
abstract = "This paper discusses the WMT 2021 terminology shared task from a {\textquotedblleft}meta{\textquotedblright} perspective. We present the results of our experiments using the terminology dataset and the OpenNMT (Klein et al., 2017) and JoeyNMT (Kreutzer et al., 2019) toolkits for the language direction English to French. Our experiment 1 compares the predictions of the two toolkits. Experiment 2 uses OpenNMT to fine-tune the model. We report our results for the task with the evaluation script but mostly discuss the linguistic properties of the terminology dataset provided for the task. We provide evidence of the importance of text genres across scores, having replicated the evaluation scripts."
}
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%0 Conference Proceedings %T The SPECTRANS System Description for the WMT21 Terminology Task %A Ballier, Nicolas %A Cho, Dahn %A Faye, Bilal %A Ke, Zong-You %A Martikainen, Hanna %A Pecman, Mojca %A Wisniewski, Guillaume %A Yunès, Jean-Baptiste %A Zhu, Lichao %A Zimina-Poirot, Maria %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 ballier-etal-2021-spectrans %X This paper discusses the WMT 2021 terminology shared task from a “meta” perspective. We present the results of our experiments using the terminology dataset and the OpenNMT (Klein et al., 2017) and JoeyNMT (Kreutzer et al., 2019) toolkits for the language direction English to French. Our experiment 1 compares the predictions of the two toolkits. Experiment 2 uses OpenNMT to fine-tune the model. We report our results for the task with the evaluation script but mostly discuss the linguistic properties of the terminology dataset provided for the task. We provide evidence of the importance of text genres across scores, having replicated the evaluation scripts. %U https://aclanthology.org/2021.wmt-1.80/ %P 813-820
Markdown (Informal)
[The SPECTRANS System Description for the WMT21 Terminology Task](https://aclanthology.org/2021.wmt-1.80/) (Ballier et al., WMT 2021)
- The SPECTRANS System Description for the WMT21 Terminology Task (Ballier et al., WMT 2021)
ACL
- Nicolas Ballier, Dahn Cho, Bilal Faye, Zong-You Ke, Hanna Martikainen, Mojca Pecman, Guillaume Wisniewski, Jean-Baptiste Yunès, Lichao Zhu, and Maria Zimina-Poirot. 2021. The SPECTRANS System Description for the WMT21 Terminology Task. In Proceedings of the Sixth Conference on Machine Translation, pages 813–820, Online. Association for Computational Linguistics.