@inproceedings{zacarias-marquez-meza-ruiz-2021-ayuuk,
    title = "Ayuuk-{S}panish Neural Machine Translator",
    author = "Zacar{\'i}as M{\'a}rquez, Delfino  and
      Meza Ruiz, Ivan Vladimir",
    editor = "Mager, Manuel  and
      Oncevay, Arturo  and
      Rios, Annette  and
      Ruiz, Ivan Vladimir Meza  and
      Palmer, Alexis  and
      Neubig, Graham  and
      Kann, Katharina",
    booktitle = "Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2021.americasnlp-1.19/",
    doi = "10.18653/v1/2021.americasnlp-1.19",
    pages = "168--172",
    abstract = {This paper presents the first neural machine translator system for the Ayuuk language. In our experiments we translate from Ayuuk to Spanish, and fromSpanish to Ayuuk. Ayuuk is a language spoken in the Oaxaca state of Mexico by the Ayuukj{\"a}'{\"a}y people (in Spanish commonly known as Mixes. We use different sources to create a low-resource parallel corpus, more than 6,000 phrases. For some of these resources we rely on automatic alignment. The proposed system is based on the Transformer neural architecture and it uses sub-word level tokenization as the input. We show the current performance given the resources we have collected for the San Juan G{\"u}ichicovi variant, they are promising, up to 5 BLEU. We based our development on the Masakhane project for African languages.}
}