@inproceedings{fabo-etal-2026-automatic,
    title = "Automatic Metrical Scansion of {G}alician Poetry: First Results",
    author = "Fabo, Pablo Ruiz  and
      Moreau, Pauline  and
      P{\'e}rez, Anxo Alonso",
    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-1.101/",
    pages = "994--1004",
    ISBN = "979-8-89176-387-6",
    abstract = "We present the first public, user-friendly system for Galician poetry scansion, a symbolic system derived from a well-performing mixed-meter Spanish scansion library. We adapted its resources to Galician and added a preprocessing module. The system achieves 88{\%} per-line accuracy in exact stress-pattern match on data unseen during development, and has practical value: First, it helps create a large annotated corpus to train scansion systems. Second, its web interface can help engage a non-specialist public. Third, its current accuracy is helpful for annotating large volumes of poetry and studying metrical trends in Computational Literary Studies use cases."
}