NRC-CNRC Machine Translation Systems for the 2021 AmericasNLP Shared Task
Rebecca Knowles, Darlene Stewart, Samuel Larkin, Patrick Littell
Abstract
We describe the NRC-CNRC systems submitted to the AmericasNLP shared task on machine translation. We submitted systems translating from Spanish into Wixárika, Nahuatl, Rarámuri, and Guaraní. Our best neural machine translation systems used multilingual pretraining, ensembling, finetuning, training on parts of the development data, and subword regularization. We also submitted translation memory systems as a strong baseline.- Anthology ID:
- 2021.americasnlp-1.25
- Volume:
- Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas
- Month:
- June
- Year:
- 2021
- Address:
- Online
- Editors:
- Manuel Mager, Arturo Oncevay, Annette Rios, Ivan Vladimir Meza Ruiz, Alexis Palmer, Graham Neubig, Katharina Kann
- Venue:
- AmericasNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 224–233
- Language:
- URL:
- https://aclanthology.org/2021.americasnlp-1.25
- DOI:
- 10.18653/v1/2021.americasnlp-1.25
- Cite (ACL):
- Rebecca Knowles, Darlene Stewart, Samuel Larkin, and Patrick Littell. 2021. NRC-CNRC Machine Translation Systems for the 2021 AmericasNLP Shared Task. In Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas, pages 224–233, Online. Association for Computational Linguistics.
- Cite (Informal):
- NRC-CNRC Machine Translation Systems for the 2021 AmericasNLP Shared Task (Knowles et al., AmericasNLP 2021)
- PDF:
- https://preview.aclanthology.org/naacl-24-ws-corrections/2021.americasnlp-1.25.pdf