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        Empirical issues in syntax and semantics

        Selected papers from CSSP 2023

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        Contributor(s)
        Bîlbîie, Gabriela (editor)
        Schaden, Gerhard (editor)
        Language
        English
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        Abstract
        The present volume in the series Empirical Issues in Syntax and Semantics collects a curated selection of papers from the 2023 Colloque de Syntax et Sémantique à Paris (CSSP 2023), held on December 7-8, 2023, at the École Normale Supérieure in Paris. The result aims to be a snapshot of contemporary linguistic research in the areas of syntax andsemantics._x000D_ The eight contributions investigate phenomena spanning focus, meaning, modification, and discourse, offering new insights into how grammatical structures encode and convey information, and illustrating how detailed empirical work informs our understanding of grammatical phenomena. Drawing on data from multiple languages and employing diverse analytical frameworks, these studies advance current debates while maintaining the methodological rigor characteristic of contemporary formal linguistics._x000D_ The collection provides a valuable resource for researchers and graduate students working in syntax, semantics, and related areas.
        URI
        https://library.oapen.org/handle/20.500.12657/112765
        Keywords
        Linguistics
        DOI
        10.5281/zenodo.15449929
        ISBN
        9783961105137, 9783961105137
        Publisher
        Language Science Press
        Publisher website
        https://langsci-press.org/
        Publication date and place
        Berlin, 2025
        Imprint
        Language Science Press
        Series
        Empirically Oriented Theoretical Morphology and Syntax, 16
        Classification
        Linguistics
        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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