Activity in Czech and Russian Nineteenth-century Sonnets
A Contrastive Study
Bibliographic Data
| ID | 19499166 |
|---|---|
| Authors | Sergey Andreev (0000-0001-7076-1241, Smolensk State University, corresponding author), Michal Místecký (0000-0002-9183-4435, University of Ostrava) |
| Year | 2018 |
| Volume | 9 |
| Issue | 1 |
| Pages | 89-104 |
| Publication date | 2018-11-27 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Glottotheory (JOURNAL) |
| Journal identifiers | ISSN: 1337-7892 • E-ISSN: 2196-6907 |
| Publisher | Walter de Gruyter GmbH (PUBLISHER • DE) |
| DOI | 10.1515/glot-2018-0004 |
| OpenAlex | W2901672355 |
| Language | EN |
The article focuses on analysing activity in the selected sonnets of the Czech and Russian nineteenth-century literatures (100 poems per each). Busemann Coefficient (Q) is counted for the samples, and the individual authors are tested on statistical significance by means of the nonparametric Mann–Whitney–Wilcoxon test. Another product of the research is a scatter plot, where the counts of the significant MWW test values for the poets and their average Q’s are compared; these figures are clustered according to the k-means method, and interpretations are formulated on the basis of the groupings. Both microanalyses penetrating into an author’s production, and literary-movement investigations are provided, so as to make the research of use for literary criticism, too. Finally, two ways of comparing the Czech and Russian data are sketched, with the outcomes being commented upon
Art · Criticism · Czech · Linguistics · Literature · Mann–Whitney U test · Nonparametric statistics · Poetry · Russian literature · Sonnet · Statistics · Wilcoxon signed-rank test · Advanced Text Analysis Techniques · History · Mathematics · Opinion Dynamics and Social Influence · Philosophy · Geology
| Citation velocity | historical |
|---|---|
| Highly cited | No |