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        Grammatical gender and linguistic complexity, Volume 2

        World-wide comparative studies

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        Contributor(s)
        Di Garbo, Francesca (editor)
        Olsson, Bruno (editor)
        Wälchli, Bernhard (editor)
        Collection
        Knowledge Unlatched (KU); Language Science Press 2018-2020
        Number
        104955
        Language
        English
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        Abstract
        The many facets of grammatical gender remain one of the most fruitful areas of linguistic research, and pose fascinating questions about the origins and development of complexity in language. The present work is a two-volume collection of 13 chapters on the topic of grammatical gender seen through the prism of linguistic complexity. The contributions discuss what counts as complex and/or simple in grammatical gender systems, whether the distribution of gender systems across the world’s languages relates to the language ecology and social history of speech communities. Volume two consists of three chapters providing diachronic and typological case studies, followed by a final chapter discussing old and new theoretical and empirical challenges in the study of the dynamics of gender complexity.
        URI
        http://library.oapen.org/handle/20.500.12657/23422
        Keywords
        Linguistics
        DOI
        10.5281/zenodo.3446230
        ISBN
        9783961101801
        Publisher
        Language Science Press
        Publisher website
        https://langsci-press.org/
        Publication date and place
        Berlin, 2019-10-25
        Grantor
        • Knowledge Unlatched - 104955 - Language Science Press 2018 - 2020
        Series
        Studies in Diversity Linguistics,
        Classification
        Linguistics
        Rights
        https://creativecommons.org/licenses/by/4.0/legalcode
        • 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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