CONF
Parida_AMERICASNLP2021_2021/IDIAP
Open Machine Translation for Low Resource South American Languages (AmericasNLP 2021 Shared Task Contribution)
Parida, Shantipriya
Panda, Subhadarshi
Dash, Amulya Ratna
VILLATORO-TELLO, Esaú
Dogruöz, A. Seza
Ortega-Mendoza, Rosa M.
Hernández, Amadeo
Sharma, Yashvardhan
Motlicek, Petr
https://publications.idiap.ch/index.php/publications/showcite/Parida_Idiap-RR-07-2021
Related documents
Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas
2021
Association for Computational Linguistics
218–223
https://aclanthology.org/2021.americasnlp-1.24
URL
10.18653/v1/2021.americasnlp-1.24
doi
This paper describes the team (“Tamalli”)’s submission to AmericasNLP2021 shared task on Open Machine Translation for low resource South American languages. Our goal was to evaluate different Machine Translation (MT) techniques, statistical and neural-based, under several configuration settings. We obtained the second-best results for the language pairs “Spanish-Bribri”, “Spanish-Asháninka”, and “Spanish-Rarámuri” in the category “Development set not used for training”. Our performed experiments will serve as a point of reference for researchers working on MT with low-resource languages.
REPORT
Parida_Idiap-RR-07-2021/IDIAP
Open Machine Translation for Low Resource South American Languages (AmericasNLP 2021 Shared Task Contribution)
Parida, Shantipriya
Panda, Subhadarshi
Dash, Amulya Ratna
VILLATORO-TELLO, Esaú
Dogruöz, A. Seza
Ortega-Mendoza, Rosa M.
Hernández, Amadeo
Sharma, Yashvardhan
Motlicek, Petr
EXTERNAL
https://publications.idiap.ch/attachments/reports/2021/Parida_Idiap-RR-07-2021.pdf
PUBLIC
Idiap-RR-07-2021
2021
Idiap
May 2021