@inproceedings{alam-etal-2021-findings,
title = "Findings of the {WMT} Shared Task on Machine Translation Using Terminologies",
author = "Alam, Md Mahfuz Ibn and
Kvapil{\'\i}kov{\'a}, Ivana and
Anastasopoulos, Antonios and
Besacier, Laurent and
Dinu, Georgiana and
Federico, Marcello and
Gall{\'e}, Matthias and
Jung, Kweonwoo and
Koehn, Philipp and
Nikoulina, Vassilina",
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-1.69",
pages = "652--663",
abstract = "Language domains that require very careful use of terminology are abundant and reflect a significant part of the translation industry. In this work we introduce a benchmark for evaluating the quality and consistency of terminology translation, focusing on the medical (and COVID-19 specifically) domain for five language pairs: English to French, Chinese, Russian, and Korean, as well as Czech to German. We report the descriptions and results of the participating systems, commenting on the need for further research efforts towards both more adequate handling of terminologies as well as towards a proper formulation and evaluation of the task.",
}
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<abstract>Language domains that require very careful use of terminology are abundant and reflect a significant part of the translation industry. In this work we introduce a benchmark for evaluating the quality and consistency of terminology translation, focusing on the medical (and COVID-19 specifically) domain for five language pairs: English to French, Chinese, Russian, and Korean, as well as Czech to German. We report the descriptions and results of the participating systems, commenting on the need for further research efforts towards both more adequate handling of terminologies as well as towards a proper formulation and evaluation of the task.</abstract>
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%0 Conference Proceedings
%T Findings of the WMT Shared Task on Machine Translation Using Terminologies
%A Alam, Md Mahfuz Ibn
%A Kvapilíková, Ivana
%A Anastasopoulos, Antonios
%A Besacier, Laurent
%A Dinu, Georgiana
%A Federico, Marcello
%A Gallé, Matthias
%A Jung, Kweonwoo
%A Koehn, Philipp
%A Nikoulina, Vassilina
%S Proceedings of the Sixth Conference on Machine Translation
%D 2021
%8 nov
%I Association for Computational Linguistics
%C Online
%F alam-etal-2021-findings
%X Language domains that require very careful use of terminology are abundant and reflect a significant part of the translation industry. In this work we introduce a benchmark for evaluating the quality and consistency of terminology translation, focusing on the medical (and COVID-19 specifically) domain for five language pairs: English to French, Chinese, Russian, and Korean, as well as Czech to German. We report the descriptions and results of the participating systems, commenting on the need for further research efforts towards both more adequate handling of terminologies as well as towards a proper formulation and evaluation of the task.
%U https://aclanthology.org/2021.wmt-1.69
%P 652-663
Markdown (Informal)
[Findings of the WMT Shared Task on Machine Translation Using Terminologies](https://aclanthology.org/2021.wmt-1.69) (Alam et al., WMT 2021)
ACL
- Md Mahfuz Ibn Alam, Ivana Kvapilíková, Antonios Anastasopoulos, Laurent Besacier, Georgiana Dinu, Marcello Federico, Matthias Gallé, Kweonwoo Jung, Philipp Koehn, and Vassilina Nikoulina. 2021. Findings of the WMT Shared Task on Machine Translation Using Terminologies. In Proceedings of the Sixth Conference on Machine Translation, pages 652–663, Online. Association for Computational Linguistics.