In: Jazykovedný časopis, vol. 72, no. 2
Klára Bendová
Details:
Year, pages: 2021, 477 - 487
Language: eng
Keywords:
complexity, parallel corpus, Czech, Flesch Reading Ease, machine learning
Original source URL: https://www.juls.savba.sk/ediela/jc/2021/2/jc21-02.pdf
Article type: Natural Language Processing and Corpus Building
About article:
Text readability metrics assess how much effort a reader must put into comprehending a given text. They are, e.g., used to choose appropriate readings for different student proficiency levels, or to make sure that crucial information is efficiently conveyed (e.g., in an emergency). Flesch Reading Ease is such a globally used formula that it is even integrated into the MS Word Processor. However, its constants are language-dependent. The original formula was created for English. So far it has been adapted to several European languages, Bangla, and Hindi. This paper describes the Czech adaptation, with the language-dependent constants optimized by a machine-learning algorithm working on parallel corpora of Czech and English, Russian, Italian, and French, respectively.
How to cite:
ISO 690:
Bendová, K. 2021. Using a parallel corpus to adapt the Flesch Reading Ease formula to Czech. In Jazykovedný časopis, vol. 72, no.2, pp. 477-487. ISSN 0021-5597. DOI: https://doi.org/10.2478/jazcas-2021-0044
APA:
Bendová, K. (2021). Using a parallel corpus to adapt the Flesch Reading Ease formula to Czech. Jazykovedný časopis, 72(2), 477-487. ISSN 0021-5597. DOI: https://doi.org/10.2478/jazcas-2021-0044
About edition: