@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",
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 {``}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.",
}
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<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.</abstract>
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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
%S Proceedings of the Sixth Conference on Machine Translation
%D 2021
%8 nov
%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)
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.