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
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
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2023
Tipo de publicación: Journal Publications
Repositori URV