The KAS corpus of Slovenian academic writing.

The paper presents the KAS corpus of Slovenian academic writing, which consists of almost 65,000 B.A./B.Sc., 16,000 M.A./M.Sc. and 1600 Ph.D. theses (5 million pages or 1.7 billion tokens) gathered from the digital libraries of Slovenian higher education institutions via the Slovenian Open Science p...

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Publicado en:Language Resources & Evaluation Vol. 55; no. 2; pp. 551 - 584
Autores principales: Erjavec, Tomaž, Fišer, Darja, Ljubešić, Nikola
Formato: Artículo
Publicado: Springer Nature Jun2021
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          Erjavec, Tomaž
          Fišer, Darja
          Ljubešić, Nikola
        affil:
          Department of Knowledge Technologies, Jožef Stefan Institute, Jamova cesta 39, 1000, Ljubljana, Slovenia
          Department of Translation, Faculty of Arts, University of Ljubljana, Aškerčeva cesta 2, 1000, Ljubljana, Slovenia
          Faculty of Computer Science and Informatics, University of Ljubljana, Večna pot 113, 1000, Ljubljana, Slovenia
      su:
        Academic discourse
        Digital libraries
        Corpora
        Universities & colleges
        Gene ontology
      sug:
        subj:
          Academic discourse
          Digital libraries
          Corpora
          Universities & colleges
          Gene ontology
      keyword:
        Academic writing
        Corpus
        Slovenian
        TEI
        Terminology
      ab: The paper presents the KAS corpus of Slovenian academic writing, which consists of almost 65,000 B.A./B.Sc., 16,000 M.A./M.Sc. and 1600 Ph.D. theses (5 million pages or 1.7 billion tokens) gathered from the digital libraries of Slovenian higher education institutions via the Slovenian Open Science portal. We discuss the compilation, meta-data, annotation, and distribution of the corpus, which is made freely available via on-line concordancers and is openly available for research through the CLARIN.SI research infrastructure. We also present the tools for mono- and bilingual term extraction and for thesis structure annotation that were developed in the scope of the project, including the manually annotated datasets used to train these tools. This specialised corpus, large by any standards, represents a substantial and highly useful language resource for the study of Slovenian academic writing and for terminology extraction.
      pubtype: Academic Journal
      doctype: Article
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    language: English
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