In: Jazykovedný časopis, vol. 72, no. 2
Klára Bendová
Detaily:
Rok, strany: 2021, 477 - 487
Jazyk: eng
Kľúčové slová:
complexity, parallel corpus, Czech, Flesch Reading Ease, machine learning
URL originálneho zdroja: https://www.juls.savba.sk/ediela/jc/2021/2/jc21-02.pdf
Typ článku: Natural Language Processing and Corpus Building
O článku:
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.
Ako citovať:
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
O vydaní: