Few-shot Spanish-Aymara Machine Translation Using English-Aymara Lexicon

Nat Gillin, Brian Gummibaerhausen


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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/2023.americasnlp-1.18.pdf