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Exploring Semanticity for Content and Function Word Distinction in Catalan

Bibliographic Data

ID5900765
AuthorsNatàlia Català (0000-0002-6184-0367, Universitat Politècnica de Catalunya, corresponding author), Jaume Baixeries (0000-0003-2896-2247, Universitat Politècnica de Catalunya), Antoni Hernández-Fernández (0000-0002-9466-2704, Universitat Politècnica de Catalunya)
Year2024
Volume9
Issue5
Pages179
Publication date2024-05-14
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLanguages (JOURNAL)
Journal identifiersISSN: 2226-471X • E-ISSN: 2226-471X
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/languages9050179
OpenAlexW4396896245
LanguageEN
Citations received1
References cited46

In the realm of linguistics, the concept of "semanticity" was recently introduced as a novel measure designed to study linguistic networks. In a given text, semanticity is defined as the ratio of the potential number of meanings associated with a word to the number of different words with which it is linguistically linked. This concept provides a quantitative indicator that reflects a word's semantic complexity and its role in a language. In this pilot study, we applied the semanticity measure to the Catalan language, aiming to investigate its effectiveness in automatically distinguishing content words from function words. For this purpose, the measure of semanticity has been applied to a large corpus of texts written in Catalan. We show that the semanticity of words allows us to classify the word classes existing in Catalan in a simple way so that both the semantic and syntactic capacity of each word within a language can be integrated under this parameter. By means of this semanticity measure, it has been observed that adverbs behave like function words in Catalan. This approach offers a quantitative and objective tool for researchers and linguists to gain insights into the structure and dynamics of languages, contributing to a deeper understanding of their underlying principles. The application of semanticity to Catalan is a promising pilot study, with potential applications in other languages, which will allow progress to be made in the field of theoretical linguistics and contribute to the development of automated linguistic tools

Biology · Catalan · Content (measure theory · Function (biology · Linguistics · Natural language processing · Word (group theory · Authorship Attribution and Profiling · Computer Science · Mathematics · Natural Language Processing Techniques · Philosophy · Topic Modeling

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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