Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

A Functional Approach to Natural Language

Bibliographic Data

ID22065604
AuthorsRadu Bucea-Manea-Tonis (0000-0001-6417-5115, Spiru Haret University), Valentin Kuleto (0000-0002-7811-5436, Academy of Arts), Adrian Beteringhe (Danubius University), Milena Ilić (0000-0002-9719-175X, Academy of Arts), Šemsudin A Plojović (0000-0001-8472-0993, Belgrade Open School), Belgrade Serbia Information Technology School
Year2022
Volume11
Issue3
Pages36-44
Publication date2022-10-09
Open AccessYes
TypeARTICLE
VenueJournal of Economic Development Environment and People (JOURNAL)
Journal identifiersISSN: 2285-3642 • E-ISSN: 2285-3642
PublisherFundatia Romania de Maine (PUBLISHER)
DOI10.26458/jedep.v11i3.773
OpenAlexW4396879663
LanguageEN

This article does not aim to erase the border, rather vague, between natural and artificial languages, but to offer the researcher in the field of language analysis a useful tool for their logical generation and interpretation. After processing the available literature and setting the theoretical framework, a case study was conducted concerning the application of the functional approach in natural languages, and the obtained results indicate the following conclusion: The only difference between functional and natural language is that the condition of interrupting recursive calls may be external to the calling auto function in the case of natural language. Basically, once the message is understood or transmitted, it leaves the loop, this aspect being part of the communication protocol between people

Linguistics · Logical consequence · Natural language · Natural language processing · Programming language · Computer Science · Formal Methods in Verification · History · Logic, programming, and type systems · Philosophy · Spreadsheets and End-User Computing · Artificial Intelligence

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae