@inproceedings{arhar-holdt-etal-2024-suk,
    title = "{SUK} 1.0: A New Training Corpus for Linguistic Annotation of Modern Standard {S}lovene",
    author = "Arhar Holdt, {\v{S}}pela  and
      {\v{C}}ibej, Jaka  and
      Dobrovoljc, Kaja  and
      Erjavec, Toma{\v{z}}  and
      Gantar, Polona  and
      Krek, Simon  and
      Munda, Tina  and
      Robida, Nejc  and
      Ter{\v{c}}on, Luka  and
      Zitnik, Slavko",
    editor = "Calzolari, Nicoletta  and
      Kan, Min-Yen  and
      Hoste, Veronique  and
      Lenci, Alessandro  and
      Sakti, Sakriani  and
      Xue, Nianwen",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lrec-main.1340",
    pages = "15428--15435",
    abstract = "This paper introduces the upgrade of a training corpus for linguistic annotation of modern standard Slovene. The enhancement spans both the size of the corpus and the depth of annotation layers. The revised SUK 1.0 corpus, building on its predecessor ssj500k 2.3, has doubled in size, containing over a million tokens. This expansion integrates three preexisting open-access datasets, all of which have undergone automatic tagging and meticulous manual review across multiple annotation layers, each represented in varying proportions. These layers span tokenization, segmentation, lemmatization, MULTEXT-East morphology, Universal Dependencies, JOS-SYN syntax, semantic role labeling, named entity recognition, and the newly incorporated coreferences. The paper illustrates the annotation processes for each layer while also presenting the results of the new CLASSLA-Stanza annotation tool, trained on the SUK corpus data. As one of the fundamental language resources of modern Slovene, the SUK corpus calls for constant development, as outlined in the concluding section.",
}

This paper introduces the upgrade of a training corpus for linguistic annotation of modern standard Slovene. The enhancement spans both the size of the corpus and the depth of annotation layers. The revised SUK 1.0 corpus, building on its predecessor ssj500k 2.3, has doubled in size, containing over a million tokens. This expansion integrates three preexisting open-access datasets, all of which have undergone automatic tagging and meticulous manual review across multiple annotation layers, each represented in varying proportions. These layers span tokenization, segmentation, lemmatization, MULTEXT-East morphology, Universal Dependencies, JOS-SYN syntax, semantic role labeling, named entity recognition, and the newly incorporated coreferences. The paper illustrates the annotation processes for each layer while also presenting the results of the new CLASSLA-Stanza annotation tool, trained on the SUK corpus data. As one of the fundamental language resources of modern Slovene, the SUK corpus calls for constant development, as outlined in the concluding section.
Arhar Holdt, {\v{S}}pela {\v{C}}ibej, Jaka Dobrovoljc, Kaja Erjavec, Toma{\v{z}} Gantar, Polona Krek, Simon Munda, Tina Robida, Nejc Ter{\v{c}}on, Luka Zitnik, Slavko
SUK 1.0: A New Training Corpus for Linguistic Annotation of Modern Standard Slovene