@article{ing-etal-2026-phrase,
    title = "Phrase-Level Segmentation on Medieval Corpora for Aligning Multilingual Texts",
    author = "Ing, Lucence  and
      Gille Levenson, Matthias  and
      Macedo, Carolina",
    editor = "Piperidis, Stelios  and
      Bel, N{\'u}ria  and
      van den Heuvel, Henk  and
      Ide, Nancy  and
      Krek, Simon  and
      Toral, Antonio",
    journal = "International Conference on Language Resources and Evaluation",
    volume = "main",
    month = may,
    year = "2026",
    address = "Palma de Mallorca, Spain",
    publisher = "ELRA Language Resource Association",
    url = "https://preview.aclanthology.org/ingest-lrec/2026.lrec-main.72/",
    pages = "936--946",
    abstract = "This paper presents an approach to multilingual alignment for medieval languages, focusing on the prior step of{''}phrase'' segmentation. It outlines the challenges posed by historical data and describes different strategies forsegmenting texts in multiple languages. It releases a gold-standard segmentation corpus based on various literaryand historical works from the late Middle Ages in Europe. This corpus consists of texts in seven medieval languages (French, Castilian, Catalan, Portuguese, Latin, Italian, English). Several architectures are tested with both in-domain and out-of-domain evaluation sets."
}