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
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 167–171
- Language:
- URL:
- https://aclanthology.org/2021.wmt-1.14
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2021.wmt-1.14.pdf