Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Uniqueness and Typicality Effects in Heterosemiotic Units

Algorithm and Analysis Procedure

Bibliographic Data

ID22344675
AuthorsMaria Kiose (0000-0001-7215-0604, Moscow State Linguistic University), M I Kiose (Moscow State Linguistic University), O N Prokofyeva (Moscow State Linguistic University), Olga Prokofyeva (0009-0007-1617-2383, Moscow State Linguistic University), A A Rzhevesskaya (Moscow State Linguistic University), T G Kharlamova (Moscow State Linguistic University)
Year2020
Volume38
Issue2
Pages70-86
Publication date2020-01-01
Open AccessYes
TypeARTICLE
VenueCritique and Semiotics (JOURNAL)
Journal identifiersISSN: 2307-1737 • E-ISSN: 2307-1753
PublisherNovosibirsk State University (NSU) (PUBLISHER)
DOI10.25205/2307-1737-2020-2-70-86
OpenAlexW3189685477
LanguageEN

The study develops the algorithm of typicality analysis within heterosemiotic units which integrate various semiotic systems and subsystems (multimodal and polycode). The algorithm is tested in four heterosemiotic units of text and image, speech and gesture, multi-discourse and multistylistic unities. The algorithm is a six-step procedure, it defines the type and character of the unit, its parametric activity, parametric synchronization and resonance, and finally diagnoses the typicality of the unit representatives. The study proves that despite the differences within the heterosemiotic units structure, the developed algorithm is productive and can be applied to distinguish the more and less typical unit representatives

Algorithm · Gesture · Linguistics · Parametric statistics · Semiotics · Speech recognition · Uniqueness · Computer Science · Literature, Language, and Rhetoric Studies · Mathematics · Translation Studies and Practices · 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