1. bookVolume 72 (2021): Issue 2 (December 2021)
    NLP, Corpus Linguistics and Interdisciplinarity
Journal Details
License
Format
Journal
eISSN
1338-4287
First Published
05 Mar 2010
Publication timeframe
2 times per year
Languages
English
access type Open Access

Czech Translations of the Gospel of Matthew from the Diachronic Point of View – Plus Ça Change…

Published Online: 30 Dec 2021
Volume & Issue: Volume 72 (2021) - Issue 2 (December 2021) - NLP, Corpus Linguistics and Interdisciplinarity
Page range: 656 - 666
Journal Details
License
Format
Journal
eISSN
1338-4287
First Published
05 Mar 2010
Publication timeframe
2 times per year
Languages
English
Abstract

The paper focuses on dynamics of changes of several linguistic and text properties in diachronic development of Czech. Specifically, we analyze the proportion of identical word-forms (types), the average type length, text length, the proportion of hapax legomena, the moving average type-token ratio, and entropy. For the analysis, seven translations of the Gospel of Matthew from the 14th to the 21st century were used. The study reveals some differences in dynamics of changes of particular properties.

Keywords

[1] Čech, R., Kosek, P., Mačutek, J., and Navrátilová, O. (2020). Proč (někdy) nemíchat texty aneb Text jako výchozí jednotka lingvistické analýzy. Naše řeč, 103, pages 24–36. Search in Google Scholar

[2] King James Bible Online. (2021). Available at: https://www.kingjamesbibleonline.org/. Search in Google Scholar

[3] Kyas, V. (1997). Česká Bible v dějinách národního písemnictví. Praha: Vyšehrad. Search in Google Scholar

[4] Vintr, J. (2008). Bible (staroslověnský překlad, české překlady). In L. Merhaut et al. (eds.), Lexikon české literatury. 4/II U–Ž, Dodatky A–ř. Praha: Academia, pages 1882–1887. Search in Google Scholar

[5] Cvrček, V., Čech, R., and Kubát, M. (2020). QuitaUp – a tool for quantitative stylometric analysis. Czech National Corpus and University of Ostrava. Available at: https://korpus.cz/quitaup/. Search in Google Scholar

[6] R Core Team. (2019). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available at: https://www.R-project.org/. Search in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo