Lexical Diversity Parameters Analysis for Author's Styles in Scientific and Technical Publications

Autor(en): Motyka, Volodymyr
Stepaniak, Yaroslav
Nasalska, Mariia
Vysotska, Victoria
Herausgeber: Cherednichenko, O.
Universite Lumiere Lyon 2
UR ERIC � 5 avenue Mendes France
Bron Cedex
Chyrun, L.
Ivan Franko National University of Lviv
University Street
1
Lviv
Vysotska, V.
Lviv Polytechnic National University and, S. Bandera Street
12
Osnabruck University
Friedrich-Janssen-Str. 1
Osnabruck
Stichwörter: Data handling; Data visualization; Concentration indices; Correlation analysis; Method analysis; Parameter analysis; Scientific publications; Smoothing methods; Syntactic complexity; Technical Directions; Technical publications; Syntactics
Erscheinungsdatum: 2023
Herausgeber: CEUR-WS
Journal: CEUR Workshop Proceedings
Volumen: 3403
Startseite: 595 – 617
Zusammenfassung: 
A self-developed dataset based on the analysis of more than 300 Ukrainian-language scientific and technical publications from the specialized Bulletin of the Lviv Polytechnic National University of the Information Systems and Networks series for 2001-2016 is selected. It contains information about the lexical and syntactic development of the author's styles of scientific publications-technical direction. Namely are the total number of words in this text, the number of words in a certain text (without repetitions), the number of words with a frequency of 1, the number of words with a frequency of 10 or more, the number of separate sentences, the number of prepositions, the number of conjunctions, Lexical diversity, Syntactic complexity, coefficient of speech coherence, exclusivity index, concentration index. The purpose of the research is to find the differences and dependence of the given data. For this, various methods of visualization and data processing, smoothing methods and correlation analysis are used. © 2023 Copyright for this paper by its authors.
Beschreibung: 
Cited by: 0; Conference name: 7th International Conference on Computational Linguistics and Intelligent Systems. Volume III: Intelligent Systems Workshop, CoLInS 2023; Conference date: 20 April 2023 through 21 April 2023; Conference code: 188984
ISSN: 1613-0073
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163129056&partnerID=40&md5=d2f7261fb8caa8bf4e5996e99cd6e9c0

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