@inproceedings{prykhodchenko-prykhodchenko-2025-application,
    title = "Application of Existing Readability Methods to the {U}krainian Language: A Comprehensive Study",
    author = "Prykhodchenko, Serhii D.  and
      Prykhodchenko, Oksana Yu.",
    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-1.4/",
    pages = "17--25",
    ISBN = "979-8-89176-293-0",
    abstract = "The Ukrainian language currently lacks a well-developed framework for assessing text readability. This study addresses this gap by focusing on three key contributions. First, we present the creation of UkrTB, a Ukrainian-language corpus of texts categorized by reader age. Second, we conduct a statistical analysis of the corpus, evaluating key linguistic features such as sentence length, word complexity, and part-of-speech distribution. Third, we systematically assess the applicability of existing readability formulas, including Flesch, Flesch-Kincaid, Matskovskii, Pisarek, and Solnyshkina et al., to Ukrainian texts. Our findings indicate that readability models developed for English and other Slavic languages exhibit significant limitations when applied to Ukrainian. While some methods demonstrate partial correlation with expected readability levels, others produce inconsistent results, underscoring the need for a specialized readability metric tailored to Ukrainian. This work lays the foundation for further research in Ukrainian readability assessment and the development of language-specific models"
}