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Fuzzy Property Grammars for Gradience in Natural Language

  • Datos identificativos

    Identificador: imarina:9291935
    Autores:
    Torrens-Urrutia, ANovák, VJiménez-López, MD
    Resumen:
    This paper introduces a new grammatical framework, Fuzzy Property Grammars (FPGr). This is a model based on Property Grammars and Fuzzy Natural Logic. Such grammatical framework is constraint-based and provides a new way to formally characterize gradience by representing grammaticality degrees regarding linguistic competence (without involving speakers judgments). The paper provides a formal-logical characterization of FPGr. A test of the framework is presented by implementing an FPGr for Spanish. FPGr is a formal theory that may serve linguists, computing scientists, and mathematicians since it can capture infinite grammatical structures within the variability of a language.
  • Otros:

    Autor según el artículo: Torrens-Urrutia, A; Novák, V; Jiménez-López, MD
    Departamento: Filologies Romàniques
    Autor/es de la URV: Jiménez López, María Dolores / Torrens Urrutia, Adrià
    Palabras clave: Vagueness Grammaticality Gradience Fuzzy grammar
    Resumen: This paper introduces a new grammatical framework, Fuzzy Property Grammars (FPGr). This is a model based on Property Grammars and Fuzzy Natural Logic. Such grammatical framework is constraint-based and provides a new way to formally characterize gradience by representing grammaticality degrees regarding linguistic competence (without involving speakers judgments). The paper provides a formal-logical characterization of FPGr. A test of the framework is presented by implementing an FPGr for Spanish. FPGr is a formal theory that may serve linguists, computing scientists, and mathematicians since it can capture infinite grammatical structures within the variability of a language.
    Áreas temáticas: Química Mathematics (miscellaneous) Mathematics (all) Mathematics General mathematics Engineering (miscellaneous) Computer science (miscellaneous) Astronomia / física
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: adria.torrens@urv.cat mariadolores.jimenez@urv.cat
    Identificador del autor: 0000-0002-4786-5170 0000-0001-5544-3210
    Fecha de alta del registro: 2024-08-03
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://www.mdpi.com/2227-7390/11/3/735
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Mathematics. 11 (3):
    Referencia de l'ítem segons les normes APA: Torrens-Urrutia, A; Novák, V; Jiménez-López, MD (2023). Fuzzy Property Grammars for Gradience in Natural Language. Mathematics, 11(3), -. DOI: 10.3390/math11030735
    DOI del artículo: 10.3390/math11030735
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2023
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Computer Science (Miscellaneous),Engineering (Miscellaneous),Mathematics,Mathematics (Miscellaneous)
    Vagueness
    Grammaticality
    Gradience
    Fuzzy grammar
    Química
    Mathematics (miscellaneous)
    Mathematics (all)
    Mathematics
    General mathematics
    Engineering (miscellaneous)
    Computer science (miscellaneous)
    Astronomia / física
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