Abstract
This study summarizes a corpus-based analysis of tendencies in register variation of Czech-written fiction texts in the period from 1992 to 2018. The analysis is based on projection of the results from a large sample of Czech prose texts (1070 texts, 12.7 mil. words) on a general register model (established by previous research using multidimensional analysis).
The major tendencies found in the material are a decrease of cohesion level, addressee coding and retrospective narration, and increased polythematicity/lexical richness. These findings are supplemented by additional analyses of the role of translation, the position of a text excerpt in the original text (beginning, middle and end) and type of text in the results.