The University of Maryland, College Park Submission to Large-Scale Multilingual Shared Task at WMT 2021
Saptarashmi Bandyopadhyay, Tasnim Kabir, Zizhen Lian, Marine Carpuat
Abstract
This paper describes the system submitted to Large-Scale Multilingual Shared Task (Small Task #2) at WMT 2021. It is based on the massively multilingual open-source model FLORES101_MM100 model, with selective fine-tuning.Our best-performing system reported a 15.72 average BLEU score for the task.- Anthology ID:
- 2021.wmt-1.46
- 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:
- 383–386
- Language:
- URL:
- https://aclanthology.org/2021.wmt-1.46
- DOI:
- Cite (ACL):
- Saptarashmi Bandyopadhyay, Tasnim Kabir, Zizhen Lian, and Marine Carpuat. 2021. The University of Maryland, College Park Submission to Large-Scale Multilingual Shared Task at WMT 2021. In Proceedings of the Sixth Conference on Machine Translation, pages 383–386, Online. Association for Computational Linguistics.
- Cite (Informal):
- The University of Maryland, College Park Submission to Large-Scale Multilingual Shared Task at WMT 2021 (Bandyopadhyay et al., WMT 2021)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2021.wmt-1.46.pdf
- Data
- CCAligned, FLORES-101