@inproceedings{vasselli-etal-2025-leveraging,
    title = "Leveraging Dictionaries and Grammar Rules for the Creation of Educational Materials for Indigenous Languages",
    author = "Vasselli, Justin  and
      Sakajo, Haruki  and
      Mart{\'i}nez Peguero, Arturo  and
      Hudi, Frederikus  and
      Watanabe, Taro",
    editor = "Mager, Manuel  and
      Ebrahimi, Abteen  and
      Pugh, Robert  and
      Rijhwani, Shruti  and
      Von Der Wense, Katharina  and
      Chiruzzo, Luis  and
      Coto-Solano, Rolando  and
      Oncevay, Arturo",
    booktitle = "Proceedings of the Fifth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)",
    month = may,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2025.americasnlp-1.13/",
    pages = "112--118",
    ISBN = "979-8-89176-236-7",
    abstract = "This paper describes the NAIST submission to the AmericasNLP 2025 shared task on the creation of educational materials for Indigenous languages. We implement three systems to tackle the unique challenges of each language. The first system, used for Maya and Guarani, employs a straightforward GPT-4o few-shot prompting technique, enhanced by synthetically generated examples to ensure coverage of all grammatical variations encountered. The second system, used for Bribri, integrates dictionary-based alignment and linguistic rules to systematically manage linguisticand lexical transformations. Finally, we developed a specialized rule-based system for Nahuatl that systematically reduces sentences to their base form, simplifying the generation of correct morphology variants."
}