Uniqueness and Typicality Effects in Heterosemiotic Units
Algorithm and Analysis Procedure
Bibliographic Data
| ID | 22344675 |
|---|---|
| Authors | Maria 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) |
| Year | 2020 |
| Volume | 38 |
| Issue | 2 |
| Pages | 70-86 |
| Publication date | 2020-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Critique and Semiotics (JOURNAL) |
| Journal identifiers | ISSN: 2307-1737 • E-ISSN: 2307-1753 |
| Publisher | Novosibirsk State University (NSU) (PUBLISHER) |
| DOI | 10.25205/2307-1737-2020-2-70-86 |
| OpenAlex | W3189685477 |
| Language | EN |
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 cited | No |
|---|