Fuzzy Property Grammars for Gradience in Natural Language

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 regar...

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Main Authors: Adrià Torrens-Urrutia, Vilém Novák, María Dolores Jiménez-López
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/3/735
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author Adrià Torrens-Urrutia
Vilém Novák
María Dolores Jiménez-López
author_facet Adrià Torrens-Urrutia
Vilém Novák
María Dolores Jiménez-López
author_sort Adrià Torrens-Urrutia
collection DOAJ
description 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.
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spelling doaj.art-f2d4b201385c44f69ce65598f30c49412023-11-16T17:23:50ZengMDPI AGMathematics2227-73902023-02-0111373510.3390/math11030735Fuzzy Property Grammars for Gradience in Natural LanguageAdrià Torrens-Urrutia0Vilém Novák1María Dolores Jiménez-López2Research Group on Mathematical Linguistics (GRLMC), Universitat Rovira i Virgili, 43002 Tarragona, SpainInstitute for Research and Applications of Fuzzy Modeling (IRAFM), University of Ostrava, 701 03 Ostrava, Czech RepublicResearch Group on Mathematical Linguistics (GRLMC), Universitat Rovira i Virgili, 43002 Tarragona, SpainThis 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.https://www.mdpi.com/2227-7390/11/3/735gradiencegrammaticalityvaguenessfuzzy grammar
spellingShingle Adrià Torrens-Urrutia
Vilém Novák
María Dolores Jiménez-López
Fuzzy Property Grammars for Gradience in Natural Language
Mathematics
gradience
grammaticality
vagueness
fuzzy grammar
title Fuzzy Property Grammars for Gradience in Natural Language
title_full Fuzzy Property Grammars for Gradience in Natural Language
title_fullStr Fuzzy Property Grammars for Gradience in Natural Language
title_full_unstemmed Fuzzy Property Grammars for Gradience in Natural Language
title_short Fuzzy Property Grammars for Gradience in Natural Language
title_sort fuzzy property grammars for gradience in natural language
topic gradience
grammaticality
vagueness
fuzzy grammar
url https://www.mdpi.com/2227-7390/11/3/735
work_keys_str_mv AT adriatorrensurrutia fuzzypropertygrammarsforgradienceinnaturallanguage
AT vilemnovak fuzzypropertygrammarsforgradienceinnaturallanguage
AT mariadoloresjimenezlopez fuzzypropertygrammarsforgradienceinnaturallanguage