Abstract
This paper presents the experiments to train a Spanish-Aymara machine translation model for the AmericasNLP 2023 Machine Translation shared task. We included the English-Aymara GlobalVoices corpus and an English-Aymara lexicon to train the model and limit our training resources to train the model in a \textit{few-shot} manner.- Anthology ID:
- 2023.americasnlp-1.18
- Volume:
- Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada
- Editors:
- Manuel Mager, Abteen Ebrahimi, Arturo Oncevay, Enora Rice, Shruti Rijhwani, Alexis Palmer, Katharina Kann
- Venue:
- AmericasNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 168–172
- Language:
- URL:
- https://aclanthology.org/2023.americasnlp-1.18
- DOI:
- 10.18653/v1/2023.americasnlp-1.18
- Cite (ACL):
- Nat Gillin and Brian Gummibaerhausen. 2023. Few-shot Spanish-Aymara Machine Translation Using English-Aymara Lexicon. In Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP), pages 168–172, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- Few-shot Spanish-Aymara Machine Translation Using English-Aymara Lexicon (Gillin & Gummibaerhausen, AmericasNLP 2023)
- PDF:
- https://preview.aclanthology.org/revert-3132-ingestion-checklist/2023.americasnlp-1.18.pdf