Abstract
This paper describes the Air Force Research Laboratory (AFRL) machine translation sys- tems and the improvements that were developed during the WMT21 evaluation campaign. This year, we explore various methods of adapting our baseline models from WMT20 and again measure improvements in performance on the Russian–English language pair.- Anthology ID:
- 2021.wmt-1.5
- 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:
- 110–116
- Language:
- URL:
- https://aclanthology.org/2021.wmt-1.5
- DOI:
- Cite (ACL):
- Grant Erdmann, Jeremy Gwinnup, and Tim Anderson. 2021. Tune in: The AFRL WMT21 News-Translation Systems. In Proceedings of the Sixth Conference on Machine Translation, pages 110–116, Online. Association for Computational Linguistics.
- Cite (Informal):
- Tune in: The AFRL WMT21 News-Translation Systems (Erdmann et al., WMT 2021)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2021.wmt-1.5.pdf
- Data
- WikiMatrix