Adam Mickiewicz University’s English-Hausa Submissions to the WMT 2021 News Translation Task

Artur Nowakowski, Tomasz Dwojak


Abstract
This paper presents the Adam Mickiewicz University’s (AMU) submissions to the WMT 2021 News Translation Task. The submissions focus on the English↔Hausa translation directions, which is a low-resource translation scenario between distant languages. Our approach involves thorough data cleaning, transfer learning using a high-resource language pair, iterative training, and utilization of monolingual data via back-translation. We experiment with NMT and PB-SMT approaches alike, using the base Transformer architecture for all of the NMT models while utilizing PB-SMT systems as comparable baseline solutions.
Anthology ID:
2021.wmt-1.14
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:
167–171
Language:
URL:
https://aclanthology.org/2021.wmt-1.14
DOI:
Bibkey:
Cite (ACL):
Artur Nowakowski and Tomasz Dwojak. 2021. Adam Mickiewicz University’s English-Hausa Submissions to the WMT 2021 News Translation Task. In Proceedings of the Sixth Conference on Machine Translation, pages 167–171, Online. Association for Computational Linguistics.
Cite (Informal):
Adam Mickiewicz University’s English-Hausa Submissions to the WMT 2021 News Translation Task (Nowakowski & Dwojak, WMT 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.wmt-1.14.pdf