The ARC-NKUA Submission for the English-Ukrainian General Machine Translation Shared Task at WMT22

Dimitrios Roussis, Vassilis Papavassiliou


Abstract
The ARC-NKUA (“Athena” Research Center - National and Kapodistrian University of Athens) submission to the WMT22 General Machine Translation shared task concerns the unconstrained tracks of the English-Ukrainian and Ukrainian-English translation directions. The two Neural Machine Translation systems are based on Transformer models and our primary submissions were determined through experimentation with (a) ensemble decoding, (b) selected fine-tuning with a subset of the training data, (c) data augmentation with back-translated monolingual data, and (d) post-processing of the translation outputs. Furthermore, we discuss filtering techniques and the acquisition of additional data used for training the systems.
Anthology ID:
2022.wmt-1.31
Volume:
Proceedings of the Seventh Conference on Machine Translation (WMT)
Month:
December
Year:
2022
Address:
Abu Dhabi, United Arab Emirates (Hybrid)
Editors:
Philipp Koehn, Loïc Barrault, Ondřej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Alexander Fraser, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Tom Kocmi, André Martins, Makoto Morishita, Christof Monz, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri, Aurélie Névéol, Mariana Neves, Martin Popel, Marco Turchi, Marcos Zampieri
Venue:
WMT
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
358–365
Language:
URL:
https://aclanthology.org/2022.wmt-1.31
DOI:
Bibkey:
Cite (ACL):
Dimitrios Roussis and Vassilis Papavassiliou. 2022. The ARC-NKUA Submission for the English-Ukrainian General Machine Translation Shared Task at WMT22. In Proceedings of the Seventh Conference on Machine Translation (WMT), pages 358–365, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.
Cite (Informal):
The ARC-NKUA Submission for the English-Ukrainian General Machine Translation Shared Task at WMT22 (Roussis & Papavassiliou, WMT 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.wmt-1.31.pdf