Abstract
This paper describes LIMSI’s submissions to the translation shared tasks at WMT’20. This year we have focused our efforts on the biomedical translation task, developing a resource-heavy system for the translation of medical abstracts from English into French, using back-translated texts, terminological resources as well as multiple pre-processing pipelines, including pre-trained representations. Systems were also prepared for the robustness task for translating from English into German; for this large-scale task we developed multi-domain, noise-robust, translation systems aim to handle the two test conditions: zero-shot and few-shot domain adaptation.- Anthology ID:
- 2020.wmt-1.86
- Volume:
- Proceedings of the Fifth Conference on Machine Translation
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 803–812
- Language:
- URL:
- https://aclanthology.org/2020.wmt-1.86
- DOI:
- Cite (ACL):
- Sadaf Abdul Rauf, José Carlos Rosales Núñez, Minh Quang Pham, and François Yvon. 2020. LIMSI @ WMT 2020. In Proceedings of the Fifth Conference on Machine Translation, pages 803–812, Online. Association for Computational Linguistics.
- Cite (Informal):
- LIMSI @ WMT 2020 (Abdul Rauf et al., WMT 2020)
- PDF:
- https://preview.aclanthology.org/remove-xml-comments/2020.wmt-1.86.pdf