NRC Systems for the 2020 Inuktitut-English News Translation Task

Rebecca Knowles, Darlene Stewart, Samuel Larkin, Patrick Littell


Abstract
We describe the National Research Council of Canada (NRC) submissions for the 2020 Inuktitut-English shared task on news translation at the Fifth Conference on Machine Translation (WMT20). Our submissions consist of ensembled domain-specific finetuned transformer models, trained using the Nunavut Hansard and news data and, in the case of Inuktitut-English, backtranslated news and parliamentary data. In this work we explore challenges related to the relatively small amount of parallel data, morphological complexity, and domain shifts.
Anthology ID:
2020.wmt-1.13
Volume:
Proceedings of the Fifth Conference on Machine Translation
Month:
November
Year:
2020
Address:
Online
Editors:
Loïc Barrault, Ondřej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Alexander Fraser, Yvette Graham, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, André Martins, Makoto Morishita, Christof Monz, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri
Venue:
WMT
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
156–170
Language:
URL:
https://aclanthology.org/2020.wmt-1.13
DOI:
Bibkey:
Cite (ACL):
Rebecca Knowles, Darlene Stewart, Samuel Larkin, and Patrick Littell. 2020. NRC Systems for the 2020 Inuktitut-English News Translation Task. In Proceedings of the Fifth Conference on Machine Translation, pages 156–170, Online. Association for Computational Linguistics.
Cite (Informal):
NRC Systems for the 2020 Inuktitut-English News Translation Task (Knowles et al., WMT 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.wmt-1.13.pdf
Video:
 https://slideslive.com/38939639