Conjunts de dades de producció científica> Estudis Anglesos i Alemanys

Explaining the universality of adjective ordering preferences as the outcome of three cognitive biases modulated by statistical learning

  • Dades identificatives

    Identificador: PC:3607
  • Autors:

    Leivada, Evelina
  • Altres:

    Comentaris: Likert scale data, reaction times
    Matèria: Social Sciences
    Drets d'accés: info:eu-repo/semantics/openAccess
    Identificador del investigador: 0000-0003-3181-1917
    Publicat per (editora): Universitat Rovira i Virgili (URV)
    Idioma: English
    Àrees temàtiques: linguistics, grammar, processing
    Publicacions relacionades: To be provided
    Resum: The dataset presents acceptability judgments as elicited by an online task, which was administered to 139 bilingual speakers of Greek and a Germanic language. The participants were presented with a task that features different orders of adjectives and a noun in the object position (e.g., 'I bought a square black table' vs. 'I bought a black square table'). Every response comes with its corresponding reaction time in ms.
    Entitat: Universitat Rovira i Virgili (URV)
    Departament: Estudis Anglesos i Alemanys
    Tipus de document: info:eu-repo/semantics/other
    Data alta repositori: 2021-09-08
    Autor: Leivada, Evelina
    Paraules clau: adjectives, statistical learning, syntactic hierarchies, cognitive biases
    Grup de recerca: Research on Language and Linguistics (ROLLING)
    Any de publicació de la dataset: 2021
    Acció del programa de finançament: Marie Skłodowska-Curie grant agreement n° 746652. Spanish Ministry of Science, Innovation and Universities, Ramón y Cajal grant agreement n° RYC2018-025456-I.
    Títol del conjunt de dades: Explaining the universality of adjective ordering preferences as the outcome of three cognitive biases modulated by statistical learning
  • Paraules clau:

    Social Sciences
    adjectives, statistical learning, syntactic hierarchies, cognitive biases
    linguistics, grammar, processing
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