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        The Competition of Word-Formation Processes in the Derivational Paradigm of Verbs

        Diasynchronic Evidence for the Profile and Resolution of Competition in English

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        Author(s)
        Fernández-Alcaina, Cristina
        Language
        English
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        Abstract
        The study of competition in verb formation has mainly focused on the identification of the restrictions governing the domains of application of the competing patterns. However, few studies have focused on the coexistence of two forms with the same base and meaning but derived through different patterns. This book aims to describe the resolution of competition in verb formation by combining lexicographic and corpus resources and the information provided by derivational paradigms. The results obtained are twofold. Methodologically, the combination of various resources allows for a better assessment of competition. Regarding the profile of competition, the results show that it is diverse, as illustrated by the variety of patterns involved, the meaning expressed and the outcomes of competition.
        URI
        https://library.oapen.org/handle/20.500.12657/90196
        Keywords
        Alcaina; Competition; Cristina; Derivational; Diasynchronic; English; Evidence; Fernández; Formation; Michael; Paradigm; Processes; Profile; Resolution; Rücker; Verbs; Word
        DOI
        10.3726/b19408
        ISBN
        9783631872895, 9783631872895, 9783631872901, 9783631866108
        Publisher
        Peter Lang International Academic Publishers
        Publisher website
        https://www.peterlang.com/
        Publication date and place
        Bern, 2022
        Series
        Hallesche Sprach- und Textforschung. Language and Text Studies. Recherches linguistiques et textuelles, 21
        Classification
        Grammar, syntax and morphology
        Pages
        182
        Rights
        https://creativecommons.org/licenses/by-nc-nd/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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