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    Greece’s labyrinth of language

    A study in the early modern discovery of dialect diversity

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    Author(s)
    Van Rooy, Raf
    Collection
    Knowledge Unlatched (KU)
    Number
    106013
    Language
    English
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    Abstract
    Fascinated with the heritage of ancient Greece, early modern intellectuals cultivated a deep interest in its language, the primary gateway to this long-lost culture, rehabilitated during the Renaissance. Inspired by the humanist battle cry “To the sources!” scholars took a detailed look at the Greek source texts in the original language and its different dialects. In so doing, they saw themselves confronted with major linguistic questions: Is there any order in this immense diversity? Can the Ancient Greek dialects be classified into larger groups? Is there a hierarchy among the dialects? Which dialect is the oldest? Where should problematic varieties such as Homeric and Biblical Greek be placed? How are the differences between the Greek dialects to be described, charted, and explained? What is the connection between the diversity of the Greek tongue and the Greek homeland? And, last but not least, are Greek dialects similar to the dialects of the vernacular tongues? Why (not)? This book discusses and analyzes the often surprising and sometimes contradictory early modern answers to these questions.
    URI
    https://library.oapen.org/handle/20.500.12657/43553
    Keywords
    Language Arts & Disciplines; Linguistics; General
    DOI
    https://doi.org/10.5281/zenodo.3478142
    ISBN
    9783961102105
    Publisher
    Language Science Press
    Publisher website
    https://langsci-press.org/
    Publication date and place
    2020
    Grantor
    • Knowledge Unlatched
    Imprint
    Language Science Press
    Classification
    Linguistics
    Rights
    https://creativecommons.org/licenses/by/4.0/legalcode
    • Harvested from KU

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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