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  1. Cluster analysis for corpus linguistics
    Erschienen: 2015
    Verlag:  De Gruyter Mouton, Berlin [u.a.]

    The rapidly growing volume of digital natural language text and the complexity of data abstracted from it have increasingly rendered traditional corpus linguistic analytical methodology obsolete. This book describes a cluster analytic methodology for... mehr

    Universitätsbibliothek Kiel, Zentralbibliothek
    keine Fernleihe
    Hochschulbibliothek Friedensau
    Online-Ressource
    keine Fernleihe

     

    The rapidly growing volume of digital natural language text and the complexity of data abstracted from it have increasingly rendered traditional corpus linguistic analytical methodology obsolete. This book describes a cluster analytic methodology for generating linguistic hypotheses on the basis of data abstracted from language corpora. Hermann Moisl, Newcastle University, Newcastle upon Tyne, UK. The rapidly growing volume of digital natural language text and the complexity of data abstracted from it have increasingly rendered traditional corpus linguistic analytical methodology obsolete. This book describes a cluster analytic methodology for generating linguistic hypotheses on the basis of data abstracted from language corpora

     

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    Hinweise zum Inhalt
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9783110363814
    RVK Klassifikation: ES 900
    Schriftenreihe: Quantitative Linguistics [QL] ; v.66
    Schlagworte: Korpus <Linguistik>; Cluster <Datenanalyse>;
    Umfang: Online-Ressource (XV, 381 S.)
    Bemerkung(en):

    Description based upon print version of record

    Preface; Contents; List of figures; 1. Introduction; 2. Motivation; 3. Data; 4. Cluster; 5. Hypothesis generation; 6. Literature Review; 7. Conclusion; 8. Appendix; References; Subject index