Author, as appears in the article.: Torrens-Urrutia, A; Novák, V; Jiménez-López, MD
Department: Filologies Romàniques
URV's Author/s: Jiménez López, María Dolores / Torrens Urrutia, Adrià
Keywords: Vagueness Grammaticality Gradience Fuzzy grammar
Abstract: 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.
Thematic Areas: Química Mathematics (miscellaneous) Mathematics (all) Mathematics General mathematics Engineering (miscellaneous) Computer science (miscellaneous) Astronomia / física
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: adria.torrens@urv.cat mariadolores.jimenez@urv.cat
Author identifier: 0000-0002-4786-5170 0000-0001-5544-3210
Record's date: 2024-08-03
Papper version: info:eu-repo/semantics/publishedVersion
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Mathematics. 11 (3):
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
Entity: Universitat Rovira i Virgili
Journal publication year: 2023
Publication Type: Journal Publications
Repositori URV