@inproceedings{sung-shin-2025-second,
    title = "Second language {K}orean {U}niversal {D}ependency treebank v1.2: Focus on Data Augmentation and Annotation Scheme Refinement",
    author = "Sung, Hakyung  and
      Shin, Gyu-Ho",
    editor = "Holdt, {\v{S}}pela Arhar  and
      Ilinykh, Nikolai  and
      Scalvini, Barbara  and
      Bruton, Micaella  and
      Debess, Iben Nyholm  and
      Tudor, Crina Madalina",
    booktitle = "Proceedings of the Third Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2025)",
    month = mar,
    year = "2025",
    address = "Tallinn, Estonia",
    publisher = "University of Tartu Library, Estonia",
    url = "https://preview.aclanthology.org/fix-sig-urls/2025.resourceful-1.4/",
    pages = "13--19",
    ISBN = "978-9908-53-121-2",
    abstract = "We expand the second language (L2) Korean Universal Dependencies (UD) treebank with 5,454 manually annotated sentences. The annotation guidelines are also revised to better align with the UD framework. Using this enhanced treebank, we fine-tune three Korean language models{---}Stanza, spaCy, and Trankit{---}and evaluate their performance on in-domain and out-of-domain L2-Korean datasets. The results show that fine-tuning significantly improves their performance across various metrics, thus highlighting the importance of using well-tailored L2 datasets for fine-tuning first-language-based, general-purpose language models for the morphosyntactic analysis of L2 data."
}