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    Muster und Bedeutung

    Bedeutungskonstitution als kontextuelle Aktivierung im Vektorraum

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    Author(s)
    Neuefeind, Claes
    Language
    German
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    Abstract
    The subject of this thesis is a computational linguistic model of Meaning Constitution in linguistic units. Taking the phenomenon of variability of linguistic meaning as its starting point, Meaning Constitution is described as an information-processing step, which is then implemented and empirically tested in a series of linguistic experiments. In this thesis, Meaning Constitution is understood as a dynamic process in which the meaning of linguistic units only becomes concrete within local contexts in relation to their general meaning potential. This dynamic concept of meaning is based on a central assumption of Cognitive Semantics, according to which meanings do not exist independently of the context. The motivation for the implementation of a computational linguistic model of its own is the fact that the conception of meaning in Cognitive Semantics itself does not involve such an operationalisation – which, strictly speaking, means that it must be regarded as not falsifiable.
    URI
    http://library.oapen.org/handle/20.500.12657/25741
    Keywords
    Meaning constitution; Semantic dynamics; Usage-based; Usage patterns; Distributional semantics; Computational-linguistic experiments
    DOI
    10.16994/bam
    ISBN
    9783946198406; 9783946198413; 9783946198420
    OCN
    1100490068
    Publisher
    Modern Academic Publishing
    Publisher website
    https://www.humanities-map.net/
    Publication date and place
    Cologne, 2019
    Classification
    Semantics, discourse analysis, stylistics
    Computational and corpus linguistics
    Cognitive studies
    Computing and Information Technology
    Information technology: general topics
    Pages
    190
    Rights
    http://creativecommons.org/licenses/by-sa/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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