The University of Maryland, College Park Submission to Large-Scale Multilingual Shared Task at WMT 2021

Saptarashmi Bandyopadhyay, Tasnim Kabir, Zizhen Lian, Marine Carpuat


Abstract
This paper describes the system submitted to Large-Scale Multilingual Shared Task (Small Task #2) at WMT 2021. It is based on the massively multilingual open-source model FLORES101_MM100 model, with selective fine-tuning. Our best-performing system reported a 15.72 average BLEU score for the task.
Anthology ID:
2021.wmt-1.46
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:
383–386
Language:
URL:
https://aclanthology.org/2021.wmt-1.46
DOI:
Bibkey:
Cite (ACL):
Saptarashmi Bandyopadhyay, Tasnim Kabir, Zizhen Lian, and Marine Carpuat. 2021. The University of Maryland, College Park Submission to Large-Scale Multilingual Shared Task at WMT 2021. In Proceedings of the Sixth Conference on Machine Translation, pages 383–386, Online. Association for Computational Linguistics.
Cite (Informal):
The University of Maryland, College Park Submission to Large-Scale Multilingual Shared Task at WMT 2021 (Bandyopadhyay et al., WMT 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.wmt-1.46.pdf
Data
CCAlignedFLoRes-101