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  1. National library as corpus: introducing DeLiKo@DNB – a large synchronous German fiction corpus
    Erschienen: 2025
    Verlag:  Genf : Zenodo ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    This paper introduces DeLiKo@DNB, a large, linguistically annotated, and large, freely accessible contemporary corpus of German fiction. The corpus currently comprises 2 billion words from over 26,000 books published between 2005 and the present,... mehr

     

    This paper introduces DeLiKo@DNB, a large, linguistically annotated, and large, freely accessible contemporary corpus of German fiction. The corpus currently comprises 2 billion words from over 26,000 books published between 2005 and the present, spanning pulp and genre fiction as well as literary award-winning works. We provide a detailed account of the corpus composition, metadata, and key features. Additionally, we outline our approach to ensuring lawful and productive access by deploying an instance of the open-source corpus analysis platform KorAP within the German National Library.

     

    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Aufsatz aus einem Sammelband
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Deutsche Nationalbibliothek; Nationalbibliothek; Korpus; Deutsch; Annotation; Metadaten
    Lizenz:

    creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess

  2. Managing Access to Language Resources in a Corpus Analysis Platform
    Erschienen: 2025
    Verlag:  Linköping : Linköping University Electronic Press ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    Corpus query tools are crucial to CLARIN’s mission of facilitating the sharing and use of language data for research. It is a huge challenge for online corpus platforms to manage user access rights for large corpora with complex licenses and... mehr

     

    Corpus query tools are crucial to CLARIN’s mission of facilitating the sharing and use of language data for research. It is a huge challenge for online corpus platforms to manage user access rights for large corpora with complex licenses and heterogeneous restrictions on access methods and purposes. This paper presents an approach to maximize user access to corpus data while protecting rights holders’ legitimate interests. Query rewriting techniques and authorization procedures allow for modeling license terms in detail, enabling broader applications. This offers an alternative to methods that only model a greatest common denominator of licenses, thereby limiting the possibilities for using the data. Our approach constitutes a flexible and extensible corpus license and user rights management component applicable for other language research environments.

     

    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Aufsatz aus einem Sammelband
    Format: Online
    DDC Klassifikation: Sprache (400)
    Lizenz:

    creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess