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            Complexity of Linguistic Structures, Simplicity of Language Mechanisms

            Inaugural lecture delivered on Thursday 5 November 2020

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            Download Url(s)
            https://books.openedition.org/cdf/16006
            Author(s)
            Rizzi, Luigi
            Contributor(s)
            Libbrecht, Liz (other)
            Language
            English
            Show full item record
            Abstract
            For over sixty years, researchers from across the world have been collaborating in a vast endeavour within what is known as “generative linguistics”, to describe human languages. The founding question of this research is related to the unlimited nature of linguistic possibilities. It has led to the formulation of hypotheses on linguistic combinatorics, its invariant core, and the mechanisms of variation across languages, and to the production of a precise mapping of the structures under study. Although complex, these structures can be reduced to the recursive application of extremely simple mechanisms, which are studied in the Minimalist Programme. This area of research also draws on the illuminating research on language acquisition carried out in an interdisciplinary cognitive science framework.
            URI
            https://directory.doabooks.org/handle/20.500.12854/144809
            Keywords
            combinatorics; language; cognitive science; complexity; mapping
            DOI
            10.4000/books.cdf.16006
            Webshop link
            https://www.7switch.com/fr/ebo ...
            ISBN
            9782722606531
            Publisher
            Collège de France
            Publisher website
            http://books.openedition.org/cdf/
            Publication date and place
            Paris, 2024
            Series
            Leçons inaugurales,
            Classification
            Linguistics
            Rights
            https://www.openedition.org/12554
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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