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


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