@inproceedings{herrera-etal-2025-extraction,
    title = "Extraction of Contrastive Rules from Syntactic Treebanks: A Case Study in {R}omance Languages",
    author = "Herrera, Santiago  and
      Silai, Ioana-Madalina  and
      Guillaume, Bruno  and
      Kahane, Sylvain",
    editor = "Chen, Xinying  and
      Wang, Yaqin",
    booktitle = "Proceedings of the Third Workshop on Quantitative Syntax (QUASY, SyntaxFest 2025)",
    month = aug,
    year = "2025",
    address = "Ljubljana, Slovenia",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/mtsummit-25-ingestion/2025.quasy-1.5/",
    pages = "26--38",
    ISBN = "979-8-89176-293-0",
    abstract = "In this paper, we develop a data-driven contrastive framework to extract common and distinctive linguistic descriptions from syntactic treebanks. The extracted contrastive rules are defined by a statistically significant difference in precision and classified as common and distinctive rules across the set of treebanks. We illustrate our method by working on object word order using Universal Dependencies (UD) treebanks in 6 Romance languages: Brazilian Portuguese, Catalan, French, Italian, Romanian and Spanish. We discuss the limitations faced due to inconsistent annotation and the feasibility of conducting contrasting studies using the UD collection."
}