NRC Systems for the 2020 Inuktitut-English News Translation Task
Rebecca Knowles, Darlene Stewart, Samuel Larkin, Patrick Littell
Abstract
We describe the National Research Council of Canada (NRC) submissions for the 2020 Inuktitut-English shared task on news translation at the Fifth Conference on Machine Translation (WMT20). Our submissions consist of ensembled domain-specific finetuned transformer models, trained using the Nunavut Hansard and news data and, in the case of Inuktitut-English, backtranslated news and parliamentary data. In this work we explore challenges related to the relatively small amount of parallel data, morphological complexity, and domain shifts.- Anthology ID:
- 2020.wmt-1.13
- 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:
- 156–170
- Language:
- URL:
- https://aclanthology.org/2020.wmt-1.13
- DOI:
- Cite (ACL):
- Rebecca Knowles, Darlene Stewart, Samuel Larkin, and Patrick Littell. 2020. NRC Systems for the 2020 Inuktitut-English News Translation Task. In Proceedings of the Fifth Conference on Machine Translation, pages 156–170, Online. Association for Computational Linguistics.
- Cite (Informal):
- NRC Systems for the 2020 Inuktitut-English News Translation Task (Knowles et al., WMT 2020)
- PDF:
- https://preview.aclanthology.org/paclic-22-ingestion/2020.wmt-1.13.pdf