GTCOM Neural Machine Translation Systems for WMT21

Chao Bei, Hao Zong


Abstract
This paper describes the Global Tone Communication Co., Ltd.’s submission of the WMT21 shared news translation task. We participate in six directions: English to/from Hausa, Hindi to/from Bengali and Zulu to/from Xhosa. Our submitted systems are unconstrained and focus on multilingual translation odel, backtranslation and forward-translation. We also apply rules and language model to filter monolingual, parallel sentences and synthetic sentences.
Anthology ID:
2021.wmt-1.3
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:
100–103
Language:
URL:
https://aclanthology.org/2021.wmt-1.3
DOI:
Bibkey:
Cite (ACL):
Chao Bei and Hao Zong. 2021. GTCOM Neural Machine Translation Systems for WMT21. In Proceedings of the Sixth Conference on Machine Translation, pages 100–103, Online. Association for Computational Linguistics.
Cite (Informal):
GTCOM Neural Machine Translation Systems for WMT21 (Bei & Zong, WMT 2021)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-3/2021.wmt-1.3.pdf
Data
FLoRes