@inproceedings{ebrahimi-etal-2023-findings,
    title = "Findings of the {A}mericas{NLP} 2023 Shared Task on Machine Translation into Indigenous Languages",
    author = "Ebrahimi, Abteen  and
      Mager, Manuel  and
      Rijhwani, Shruti  and
      Rice, Enora  and
      Oncevay, Arturo  and
      Baltazar, Claudia  and
      Cort{\'e}s, Mar{\'\i}a  and
      Monta{\~n}o, Cynthia  and
      Ortega, John E.  and
      Coto-solano, Rolando  and
      Cruz, Hilaria  and
      Palmer, Alexis  and
      Kann, Katharina",
    editor = "Mager, Manuel  and
      Ebrahimi, Abteen  and
      Oncevay, Arturo  and
      Rice, Enora  and
      Rijhwani, Shruti  and
      Palmer, Alexis  and
      Kann, Katharina",
    booktitle = "Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.americasnlp-1.23",
    doi = "10.18653/v1/2023.americasnlp-1.23",
    pages = "206--219",
    abstract = "In this work, we present the results of the AmericasNLP 2023 Shared Task on Machine Translation into Indigenous Languages of the Americas. This edition of the shared task featured eleven language pairs, one of which {--} Chatino-Spanish {--} uses a newly collected evaluation dataset, consisting of professionally translated text from the legal domain. Seven teams participated in the shared task, with a total of 181 submissions. Additionally, we conduct a human evaluation of the best system outputs, and compare them to the best submissions from the prior shared task. We find that this analysis agrees with the quantitative measures used to rank submissions, which shows further improvements of 9.64 ChrF on average across all languages, when compared to the prior winning system.",
}

In this work, we present the results of the AmericasNLP 2023 Shared Task on Machine Translation into Indigenous Languages of the Americas. This edition of the shared task featured eleven language pairs, one of which {--} Chatino-Spanish {--} uses a newly collected evaluation dataset, consisting of professionally translated text from the legal domain. Seven teams participated in the shared task, with a total of 181 submissions. Additionally, we conduct a human evaluation of the best system outputs, and compare them to the best submissions from the prior shared task. We find that this analysis agrees with the quantitative measures used to rank submissions, which shows further improvements of 9.64 ChrF on average across all languages, when compared to the prior winning system.
Ebrahimi, Abteen Mager, Manuel Rijhwani, Shruti Rice, Enora Oncevay, Arturo Baltazar, Claudia Cort{\'e}s, Mar{\'\i}a Monta{\~n}o, Cynthia Ortega, John E. Coto-solano, Rol o Cruz, Hilaria Palmer, Alexis Kann, Katharina
Findings of the AmericasNLP 2023 Shared Task on Machine Translation into Indigenous Languages