@inproceedings{oravecz-etal-2021-etranslations,
title = "e{T}ranslation{'}s Submissions to the {WMT} 2021 News Translation Task",
author = "Oravecz, Csaba and
Bontcheva, Katina and
Kolovratn{\'\i}k, David and
Bhaskar, Bhavani and
Jellinghaus, Michael and
Eisele, Andreas",
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-1.15",
pages = "172--179",
abstract = "The paper describes the 3 NMT models submitted by the eTranslation team to the WMT 2021 news translation shared task. We developed systems in language pairs that are actively used in the European Commission{'}s eTranslation service. In the WMT news task, recent years have seen a steady increase in the need for computational resources to train deep and complex architectures to produce competitive systems. We took a different approach and explored alternative strategies focusing on data selection and filtering to improve the performance of baseline systems. In the domain constrained task for the French{--}German language pair our approach resulted in the best system by a significant margin in BLEU. For the other two systems (English{--}German and English-Czech) we tried to build competitive models using standard best practices.",
}
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%0 Conference Proceedings
%T eTranslation’s Submissions to the WMT 2021 News Translation Task
%A Oravecz, Csaba
%A Bontcheva, Katina
%A Kolovratník, David
%A Bhaskar, Bhavani
%A Jellinghaus, Michael
%A Eisele, Andreas
%S Proceedings of the Sixth Conference on Machine Translation
%D 2021
%8 nov
%I Association for Computational Linguistics
%C Online
%F oravecz-etal-2021-etranslations
%X The paper describes the 3 NMT models submitted by the eTranslation team to the WMT 2021 news translation shared task. We developed systems in language pairs that are actively used in the European Commission’s eTranslation service. In the WMT news task, recent years have seen a steady increase in the need for computational resources to train deep and complex architectures to produce competitive systems. We took a different approach and explored alternative strategies focusing on data selection and filtering to improve the performance of baseline systems. In the domain constrained task for the French–German language pair our approach resulted in the best system by a significant margin in BLEU. For the other two systems (English–German and English-Czech) we tried to build competitive models using standard best practices.
%U https://aclanthology.org/2021.wmt-1.15
%P 172-179
Markdown (Informal)
[eTranslation’s Submissions to the WMT 2021 News Translation Task](https://aclanthology.org/2021.wmt-1.15) (Oravecz et al., WMT 2021)
ACL