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        Конструкции с опорным глаголом в русском и итальянском языках / Support Verb Constructions. A Russian-Italian Contrastive Analysis

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        Author(s)
        MAIKO, TATSIANA
        Language
        Russian
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        Abstract
        The monograph focuses on a special type of collocations–Support, or Light, Verb Constructions (SVCs). SVCs consist of a semantically reduced verb together with a noun (as the direct object or embedded in a prepositional phrase) that conveys core lexical meaning to the combination. SVCs often vary cross-linguistically, with languages using different strategies to conceptualize the same denotative situations. This study in line with the principles of the Integrated Contrastive Model, aims firstly to offer a corpus-driven contrastive cognitive-semantic description of SVCs in Russian and Italian based on the Construction Grammar model; and secondly to conduct a Contrastive Interlanguage Analysis of the use of Russian SVCs by Italian-speaking students. The findings of this study, in addition to its theoretical significance, may be useful in teaching Russian as a foreign language and could be of interest for lexicography.
        URI
        https://library.oapen.org/handle/20.500.12657/60450
        Keywords
        Support Verb Constructions; Light Verb Constructions; Contrastive Interlanguage Analysis; Russian; Italian
        DOI
        10.36253/978-88-9273-983-3
        ISBN
        9788892739833, 9788892739833, 9788892739826, 9788892739840
        Publisher
        Firenze University Press
        Publisher website
        https://www.fupress.com/
        Publication date and place
        Florence, 2022
        Series
        Biblioteca di Studi Slavistici, 49
        Classification
        History
        Pages
        226
        Rights
        https://creativecommons.org/licenses/by/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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