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        Attributive constructions in North-Eastern Neo-Aramaic (Volume 15)

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        Author(s)
        Gutman, Ariel
        Collection
        Knowledge Unlatched (KU); Language Science Press 2018-2020
        Language
        English
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        Abstract
        This study is the first wide-scope morpho-syntactic comparative study of North-Eastern Neo-Aramaic dialects to date. Given the historical depth of Aramaic (almost 3 millennia) and the geographic span of the modern dialects, coming in contact with various Iranian, Turkic and Semitic languages, these dialects provide an almost pristine "laboratory" setting for examining language change from areal, typological and historical perspectives. While the study has a very wide coverage of dialects, including also contact languages (and especially Kurdish dialects), it focuses on a specific grammatical domain, namely attributive constructions, giving a theoretically motivated and empirically grounded account of their variation, distribution and development. The results will be enlightening not only to Semitists seeking to learn about this fascinating modern Semitic language group, but also for typologists and general linguists interested in the dynamics of noun phrase morphosyntax.
        URI
        https://library.oapen.org/handle/20.500.12657/46912
        Keywords
        Language Arts & Disciplines; Linguistics; Historical & Comparative
        DOI
        https://doi.org/10.5281/zenodo.1182527
        ISBN
        9783961100811
        Publisher
        Language Science Press
        Publisher website
        https://langsci-press.org/
        Publication date and place
        2018
        Imprint
        Language Science Press
        Classification
        Historical and comparative linguistics
        Rights
        https://creativecommons.org/licenses/by/4.0/legalcode
        • Harvested from KU

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        • 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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