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    Reflections on language evolution

    From minimalism to pluralism

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    Author(s)
    Boeckx, Cedric
    Collection
    Knowledge Unlatched (KU)
    Language
    English
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    Abstract
    This essay reflects on the fact that as we learn more about the biological underpinnings of our language faculty, the dominant evolutionary narrative coming out of the linguistic tradition most explicitly oriented towards biology ("biolinguistics") appears increasingly implausible. This text offers ways of opening up linguistic inquiry and fostering interdisciplinarity, taking advantage of new opportunities to provide quantitative, testable hypotheses concerning the complex evolutionary path that led to the modern human language faculty. The essay is structured around three main themes: (i) renewed appreciation for the comparative method applied to cognitive questions, leading to the identification of elementary but fundamental abstractions in non-linguistic species relevant to language; (ii) awareness of the conceptual gaps between disciplines, and the need to carefully link genotype and phenotype without bypassing any "intermediate" levels of description (certainly not the brain); and (iii) adoption of a "philosophical" outlook that puts the complexity of biological entities front and center.
    URI
    https://library.oapen.org/handle/20.500.12657/52590
    Keywords
    Language Arts & Disciplines; Linguistics
    DOI
    https://doi.org/10.5281/zenodo.5524633
    ISBN
    9783961103287
    Publisher
    Language Science Press
    Publisher website
    https://langsci-press.org/
    Publication date and place
    2021
    Grantor
    • Knowledge Unlatched
    Imprint
    Language Science Press
    Classification
    Linguistics
    Rights
    https://creativecommons.org/licenses/by/4.0/legalcode
    • Harvested from KU

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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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