The University of Edinburgh’s English-German and English-Hausa Submissions to the WMT21 News Translation Task
Pinzhen Chen, Jindřich Helcl, Ulrich Germann, Laurie Burchell, Nikolay Bogoychev, Antonio Valerio Miceli Barone, Jonas Waldendorf, Alexandra Birch, Kenneth Heafield
Abstract
This paper presents the University of Edinburgh’s constrained submissions of English-German and English-Hausa systems to the WMT 2021 shared task on news translation. We build En-De systems in three stages: corpus filtering, back-translation, and fine-tuning. For En-Ha we use an iterative back-translation approach on top of pre-trained En-De models and investigate vocabulary embedding mapping.- Anthology ID:
- 2021.wmt-1.4
- Volume:
- Proceedings of the Sixth Conference on Machine Translation
- Month:
- November
- Year:
- 2021
- Address:
- Online
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 104–109
- Language:
- URL:
- https://aclanthology.org/2021.wmt-1.4
- DOI:
- Cite (ACL):
- Pinzhen Chen, Jindřich Helcl, Ulrich Germann, Laurie Burchell, Nikolay Bogoychev, Antonio Valerio Miceli Barone, Jonas Waldendorf, Alexandra Birch, and Kenneth Heafield. 2021. The University of Edinburgh’s English-German and English-Hausa Submissions to the WMT21 News Translation Task. In Proceedings of the Sixth Conference on Machine Translation, pages 104–109, Online. Association for Computational Linguistics.
- Cite (Informal):
- The University of Edinburgh’s English-German and English-Hausa Submissions to the WMT21 News Translation Task (Chen et al., WMT 2021)
- PDF:
- https://preview.aclanthology.org/remove-xml-comments/2021.wmt-1.4.pdf
- Code
- marian-nmt/marian
- Data
- ParaCrawl