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        Multiword expressions

        Insights from a multi-lingual perspective

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        Contributor(s)
        Sailer, Manfred (editor)
        Markantonatou, Stella (editor)
        Collection
        Knowledge Unlatched (KU); Language Science Press 2018-2020
        Number
        103592
        Language
        English
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        Abstract
        Multiword expressions (MWEs) are a challenge for both the natural language applications and the linguistic theory because they often defy the application of the machinery developed for free combinations where the default is that the meaning of an utterance can be predicted from its structure. There is a rich body of primarily descriptive work on MWEs for many European languages but comparative work is little. The volume brings together MWE experts to explore the benefits of a multilingual perspective on MWEs. The ten contributions in this volume look at MWEs in Bulgarian, English, French, German, Maori, Modern Greek, Romanian, Serbian, and Spanish. They discuss prominent issues in MWE research such as classification of MWEs, their formal grammatical modeling, and the description of individual MWE types from the point of view of different theoretical frameworks, such as Dependency Grammar, Generative Grammar, Head-driven Phrase Structure Grammar, Lexical Functional Grammar, Lexicon Grammar.
        URI
        http://library.oapen.org/handle/20.500.12657/28282
        Keywords
        Linguistics
        DOI
        10.5281/zenodo.1182583
        ISBN
        9783961100637
        OCN
        1076724226
        Publisher
        Language Science Press
        Publisher website
        https://langsci-press.org/
        Publication date and place
        Berlin, 2018-05-29
        Grantor
        • Knowledge Unlatched - 103592 - Language Science Press 2018 - 2020
        Rights
        https://creativecommons.org/licenses/by/4.0/legalcode
        • 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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