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 with English, Russian, Italian, and French.