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        Chapter 19 Quantification

        Proposal review

        Theoretical perspectives

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        Author(s)
        Kimmelman, Vadim
        Quer, Josep
        Language
        English
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        Abstract
        The study of quantificational expressions is one of the central domains in the field of natural language semantics. Probably every language has means of expressing quantification, but quantifiers in natural languages are straightforwardly parallel to logical quantifiers. Based on the previous research on quantification in sign languages, we further discuss the following issues: lexical quantifiers, quantificational morphology, and structural aspects of quantification. The idea behind A-quantification stems from the analysis of indefinites by Kamp and Heim, according to which indefinite expressions are non-quantificational, and they just introduce a variable with descriptive content that must be unselectively bound by a quantifier. In opposition to D-quantification, Bach et al. group other ways of encoding quantification under the label A-quantification, which includes adverbs, auxiliaries, affixes, and argument-structure adjusters. A large variety of verbal modifiers that express different types of distributive semantics has been found in RSL by Filimonova.
        Book
        The Routledge Handbook of Theoretical and Experimental Sign Language Research
        URI
        https://library.oapen.org/handle/20.500.12657/76455
        Keywords
        Experimental, handbook, language, phonological, research, sign, theoretical, comprehension, conventions, interrogatives,
        DOI
        10.4324/9781315754499-19
        ISBN
        9781315754499, 9781138801998, 9780367640996
        Publisher
        Taylor & Francis
        Publisher website
        https://taylorandfrancis.com/
        Publication date and place
        2021
        Grantor
        • Universitat Pompeu Fabra
        Imprint
        Routledge
        Pages
        18
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0/
        • 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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