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    Adjective attribution

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    Author(s)
    Rießler, Michael
    Collection
    Knowledge Unlatched (KU)
    Language
    English
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    Abstract
    "This book is the first typological study of adjective attribution marking. Its focus lies on Northern Eurasia, although it covers many more languages and presents an ontology of morphosyntactic categories relevant to noun phrase structure in general. Beside treating synchronic data, the study contributes to historical linguistics by reconstructing the origin of new types specifically in the language contact area between the Indo-European and Uralic families."
    URI
    http://library.oapen.org/handle/20.500.12657/32010
    Keywords
    nothern eurasia; noun phrase; attribution; typology; ontology of morphosyntactic categories; adjectives; Construct state; Indo-European languages; Nominalization; Noun adjunct; Syntax; Uralic languages
    DOI
    10.17169/langsci.b19.294
    ISBN
    9783944675664;9783944675497;9781530889341
    OCN
    982244709
    Publisher
    Language Science Press
    Publisher website
    https://langsci-press.org/
    Publication date and place
    2016
    Grantor
    • Knowledge Unlatched
    Series
    Studies in Diversity Linguistics, 2
    Classification
    Linguistics
    Pages
    307
    Public remark
    Relevant Wikipedia pages: Adjective - https://en.wikipedia.org/wiki/Adjective; Construct state - https://en.wikipedia.org/wiki/Construct_state; Indo-European languages - https://en.wikipedia.org/wiki/Indo-European_languages; Morphology (linguistics) - https://en.wikipedia.org/wiki/Morphology_(linguistics); Nominalization - https://en.wikipedia.org/wiki/Nominalization; Noun adjunct - https://en.wikipedia.org/wiki/Noun_adjunct; Noun phrase - https://en.wikipedia.org/wiki/Noun_phrase; Syntax - https://en.wikipedia.org/wiki/Syntax; Uralic languages - https://en.wikipedia.org/wiki/Uralic_languages
    Rights
    https://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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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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