@inproceedings{chen-kubat-2025-genre,
    title = "Genre Variation in Dependency Types: A Two-Level Genre Analysis Using the {C}zech National Corpus",
    author = "Chen, Xinying  and
      Kub{\'a}t, Miroslav",
    editor = "Haji{\v{c}}ov{\'a}, Eva  and
      Kahane, Sylvain",
    booktitle = "Proceedings of the Eighth International Conference on Dependency Linguistics (Depling, SyntaxFest 2025)",
    month = aug,
    year = "2025",
    address = "Ljubljana, Slovenia",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/mtsummit-25-ingestion/2025.depling-1.8/",
    pages = "84--92",
    ISBN = "979-8-89176-290-9",
    abstract = "This paper examines how dependency type distributions vary across genres in the Czech National Corpus (SYN2020). Using a two-level genre classification, broad categories and fine-grained subgenres, we identify genre-sensitive syntactic patterns through relative frequency analysis. The results show that some dependency types (e.g. Atr `attribute') vary consistently across genres, while others (e.g. ExD `part of discourse ellipsis') show sensitivity only at the subgenre level. Our dependency-based approach extends common multidimensional analyses based on lexical-grammatical co-occurrences, directly capturing syntactic evidence and improving interpretability. Our findings also highlight the importance of fine-grained genre distinctions in revealing syntactic variation."
}