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        Explanation in typology

        Diachronic sources, functional motivations and the nature of the evidence

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        Contributor(s)
        Schmidtke-Bode, Karsten (editor)
        Levshina, Natalia (editor)
        Michaelis, Susanne Maria (editor)
        Seržant, Ilja (editor)
        Collection
        Knowledge Unlatched (KU); Language Science Press 2018-2020
        Number
        104800
        Language
        English
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        Abstract
        This volume provides an up-to-date discussion of a foundational issue that has recently taken centre stage in linguistic typology and which is relevant to the language sciences more generally: To what extent can cross-linguistic generalizations, i.e. statistical universals of linguistic structure, be explained by the diachronic sources of these structures? Everyone agrees that typological distributions are the result of complex histories, as “languages evolve into the variation states to which synchronic universals pertain” (Hawkins 1988). However, an increasingly popular line of argumentation holds that many, perhaps most, typological regularities are long-term reflections of their diachronic sources, rather than being ‘target-driven’ by overarching functional-adaptive motivations.
        URI
        http://library.oapen.org/handle/20.500.12657/25237
        Keywords
        Linguistics
        DOI
        10.5281/zenodo.2583788
        ISBN
        9783961101474
        OCN
        1100489522
        Publisher
        Language Science Press
        Publisher website
        https://langsci-press.org/
        Publication date and place
        Berlin, 2019-04-10
        Grantor
        • Knowledge Unlatched - 104800 - Language Science Press 2018 - 2020
        Classification
        Historical and comparative linguistics
        Rights
        https://creativecommons.org/licenses/by/4.0/legalcode
        • Imported or submitted locally

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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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