@inproceedings{kanishcheva-shvedova-2026-quantifying,
    title = "Quantifying Code-Switching in a {U}krainian Parliamentary Dataset 1990-2021",
    author = "Kanishcheva, Olha  and
      Shvedova, Maria",
    editor = "Eskevich, Maria  and
      Vandeghinste, Vincent  and
      Bodron, David",
    booktitle = "Proceedings of the {P}arla{CLARIN} {V} Workshop on Interoperability, Multilinguality, and Multimodality in Parliamentary Corpora",
    month = may,
    year = "2026",
    address = "Palma de Mallorca (Spain)",
    publisher = "ELRA Language Resources Association (ELRA)",
    url = "https://preview.aclanthology.org/ingest-nlpsi/2026.parlaclarin-1.2/",
    doi = "10.63317/42ss3zvt76a7",
    pages = "2--12",
    abstract = "Analyzing code-switching {--} the practice of mixing multiple languages in one discourse {--} remains a significant task in natural language processing (NLP). This study examines the Ukrainian-Russian bilingual context, focusing on quantifying language alternation in a multilingual dataset. We introduce metrics to assess linguistic boundaries and patterns, specifically addressing the complexities of processing texts where Ukrainian and Russian are used interchangeably, including word-level hybridization. Using a corpus of approximately 200,000 tokens derived from parliamentary transcripts (1990-2021), we apply code-switching metrics to identify frequency and patterns of language use. Our findings provide insights into bilingual communication dynamics and can be used to improve language identification models for mixed-language data."
}