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  1. Versification and Authorship Attribution
    Erschienen: 2021
    Verlag:  Karolinum Press, Prague ; OAPEN FOUNDATION, The Hague

    The technique known as contemporary stylometry uses different methods, including machine learning, to discover a poem’s author based on features like the frequencies of words and character n-grams. However, there is one potential textual fingerprint... mehr

    Zugang:
    Verlag (kostenfrei)
    Bibliothek der Hochschule Darmstadt, Zentralbibliothek
    keine Fernleihe
    TU Darmstadt, Universitäts- und Landesbibliothek - Stadtmitte
    keine Fernleihe
    Bibliothek der Frankfurt University of Applied Sciences
    keine Fernleihe
    Universitätsbibliothek J. C. Senckenberg, Zentralbibliothek (ZB)
    keine Fernleihe
    Hochschul- und Landesbibliothek Fulda, Standort Heinrich-von-Bibra-Platz
    keine Fernleihe
    Technische Hochschule Mittelhessen, Hochschulbibliothek Gießen
    keine Fernleihe
    Universitätsbibliothek Gießen
    keine Fernleihe
    Universitätsbibliothek Kassel, Landesbibliothek und Murhardsche Bibliothek der Stadt Kassel
    keine Fernleihe
    Universität Mainz, Zentralbibliothek
    keine Fernleihe
    Universität Marburg, Universitätsbibliothek
    keine Fernleihe

     

    The technique known as contemporary stylometry uses different methods, including machine learning, to discover a poem’s author based on features like the frequencies of words and character n-grams. However, there is one potential textual fingerprint stylometry tends to ignore: versification, or the very making of language into verse. Using poetic texts in three different languages (Czech, German, and Spanish), Petr Plecháč asks whether versification features like rhythm patterns and types of rhyme can help determine authorship. He then tests its findings on two unsolved literary mysteries. In the first, Plecháč distinguishes the parts of the Elizabethan verse play The Two Noble Kinsmen written by William Shakespeare from those written by his coauthor, John Fletcher. In the second, he seeks to solve a case of suspected forgery: how authentic was a group of poems first published as the work of the nineteenth-century Russian author Gavriil Stepanovich Batenkov? This book of poetic investigation should appeal to literary sleuths the world over.

     

    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9788024648903; 9788024648712; 9788076580282; 9788076580275
    Schlagworte: Mathematics & science; Literature & literary studies
    Weitere Schlagworte: contemporary stylometry; stylometry; machine learning; versification; authorship; literary criticism; statistics
    Umfang: 1 Online-Ressource (97 p.)
  2. Versification and Authorship Attribution
    Erschienen: 2021
    Verlag:  Karolinum Press, Prague ; OAPEN FOUNDATION, The Hague

    The technique known as contemporary stylometry uses different methods, including machine learning, to discover a poem’s author based on features like the frequencies of words and character n-grams. However, there is one potential textual fingerprint... mehr

    Zugang:
    Verlag (kostenfrei)
    Bibliothek der Hochschule Darmstadt, Zentralbibliothek
    keine Fernleihe
    TU Darmstadt, Universitäts- und Landesbibliothek - Stadtmitte
    keine Fernleihe
    Bibliothek der Frankfurt University of Applied Sciences
    keine Fernleihe
    Universitätsbibliothek J. C. Senckenberg, Zentralbibliothek (ZB)
    keine Fernleihe
    Hochschul- und Landesbibliothek Fulda, Standort Heinrich-von-Bibra-Platz
    keine Fernleihe
    Technische Hochschule Mittelhessen, Hochschulbibliothek Gießen
    keine Fernleihe
    Universitätsbibliothek Gießen
    keine Fernleihe
    Universitätsbibliothek Kassel, Landesbibliothek und Murhardsche Bibliothek der Stadt Kassel
    keine Fernleihe
    Universität Mainz, Zentralbibliothek
    keine Fernleihe
    Universität Marburg, Universitätsbibliothek
    keine Fernleihe

     

    The technique known as contemporary stylometry uses different methods, including machine learning, to discover a poem’s author based on features like the frequencies of words and character n-grams. However, there is one potential textual fingerprint stylometry tends to ignore: versification, or the very making of language into verse. Using poetic texts in three different languages (Czech, German, and Spanish), Petr Plecháč asks whether versification features like rhythm patterns and types of rhyme can help determine authorship. He then tests its findings on two unsolved literary mysteries. In the first, Plecháč distinguishes the parts of the Elizabethan verse play The Two Noble Kinsmen written by William Shakespeare from those written by his coauthor, John Fletcher. In the second, he seeks to solve a case of suspected forgery: how authentic was a group of poems first published as the work of the nineteenth-century Russian author Gavriil Stepanovich Batenkov? This book of poetic investigation should appeal to literary sleuths the world over.

     

    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9788024648903; 9788024648712; 9788076580282; 9788076580275
    Schlagworte: Mathematics & science; Literature & literary studies
    Weitere Schlagworte: contemporary stylometry; stylometry; machine learning; versification; authorship; literary criticism; statistics
    Umfang: 1 Online-Ressource (97 p.)