Open Machine Translation for Low Resource South American Languages (AmericasNLP 2021 Shared Task Contribution)
| Type of publication: | Conference paper |
| Citation: | Parida_AMERICASNLP2021_2021 |
| Publication status: | Published |
| Booktitle: | Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas |
| Year: | 2021 |
| Month: | June |
| Pages: | 218–223 |
| Publisher: | Association for Computational Linguistics |
| Crossref: | Parida_Idiap-RR-07-2021: |
| URL: | https://aclanthology.org/2021.... |
| DOI: | 10.18653/v1/2021.americasnlp-1.24 |
| Abstract: | 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. |
| Keywords: | |
| Projects |
Idiap EC H2020-ROXANNE |
| Authors | |
| Added by: | [UNK] |
| Total mark: | 0 |
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