@inproceedings{cameron-etal-2026-analysing,
    title = "Analysing {LLM}s for spelling normalization of 18th century {P}ortuguese",
    author = "Cameron, Helena Freire  and
      Paes, Aline  and
      Olival, Fernanda  and
      Vieira, Renata",
    editor = "Souza, Marlo  and
      de-Dios-Flores, Iria  and
      Santos, Diana  and
      Freitas, Larissa  and
      Souza, Jackson Wilke da Cruz  and
      Ribeiro, Eug{\'e}nio",
    booktitle = "Proceedings of the 17th International Conference on Computational Processing of {P}ortuguese ({PROPOR} 2026) - Vol. 1",
    month = apr,
    year = "2026",
    address = "Salvador, Brazil",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-dnd/2026.propor-1.49/",
    pages = "498--506",
    ISBN = "979-8-89176-387-6",
    abstract = "This paper presents an evaluation of large language models (LLMs) applied to the task of normalizing eighteenth-century written texts. Several LLMs were employed to process texts in pre-contemporary spellings and update them according to contemporary Portuguese orthography. Their outputs were rigorously compared against a curated reference corpus. The findings indicate marked disparities in model performance, with the Portuguese-specialized model Sabi{\'a} demonstrating a statistically significant advantage over multilingual alternatives."
}