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    Chapter 17 Motivation by formally analyzable terms in a typological perspective

    An assessment of the variation and steps towards explanation

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    Author(s)
    Urban, Matthias
    Contributor(s)
    Koptjevskaja-Tamm, Maria (editor)
    Juvonen, Päivi (editor)
    Collection
    European Research Council (ERC); EU collection
    Language
    English
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    Abstract
    This article tackles a question raised by one of the founding figures of lexical typology, Stephen Ullmann: to what degree do languages differ in the extent to which they resort to morphologically analyzable lexical items? Drawing on a worldwide sample of 78 languages for which a standard set of 160 mostly nominal meanings is investigated, the article demonstrates that variability in this area is indeed profound. Correlations between the relative prevalence of analyzable items in a language with the size of its consonant inventory, the complexity of its syllable structure, and the length of its nominal roots suggest that, typologically, languages with a simple phonological structure are those in which analyzability in the lexicon is most profound. Possible explanations for this observation in terms of the avoidance of homonymy and pressure exerted by different linguistic subsystems on each other are discussed.
    Book
    The Lexical Typology of Semantic Shifts
    URI
    http://library.oapen.org/handle/20.500.12657/23692
    Keywords
    Lexicography; Typology; Cross-Linguistic Comparison
    DOI
    10.1515/9783110377675-017
    ISBN
    9783110610673; 9783110393064
    OCN
    1135847837
    Publisher
    De Gruyter
    Publisher website
    https://www.degruyter.com/
    Publication date and place
    Berlin/Boston, 2016
    Grantor
    • FP7 Ideas: European Research Council - 295918 - MESANDLIN(G)K Research grant informationFind all documents
    Classification
    Linguistics
    Rights
    All rights reserved
    • 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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