@inproceedings{hamalainen-2024-dag,
    title = "{DAG}: Dictionary-Augmented Generation for Disambiguation of Sentences in Endangered {U}ralic Languages using {C}hat{GPT}",
    author = {H{\"a}m{\"a}l{\"a}inen, Mika},
    editor = {H{\"a}m{\"a}l{\"a}inen, Mika  and
      Pirinen, Flammie  and
      Macias, Melany  and
      Crespo Avila, Mario},
    booktitle = "Proceedings of the 9th International Workshop on Computational Linguistics for Uralic Languages",
    month = nov,
    year = "2024",
    address = "Helsinki, Finland",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2024.iwclul-1.4/",
    pages = "36--40",
    abstract = "We showcase that ChatGPT can be used to disambiguate lemmas in two endangered languages ChatGPT is not proficient in, namely Erzya and Skolt Sami. We augment our prompt by providing dictionary translations of the candidate lemmas to a majority language - Finnish in our case. This dictionary augmented generation approach results in 50{\%} accuracy for Skolt Sami and 41{\%} accuracy for Erzya. On a closer inspection, many of the error types were of the kind even an untrained human annotator would make."
}