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Using a parallel corpus to adapt the Flesch Reading Ease formula to Czech
| Content Provider | Scilit |
|---|---|
| Author | Bendová, Klára |
| Copyright Year | 2021 |
| Abstract | 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. |
| Related Links | https://www.sciendo.com/pdf/10.2478/jazcas-2021-0044 |
| Ending Page | 487 |
| Page Count | 11 |
| Starting Page | 477 |
| ISSN | 00215597 |
| e-ISSN | 13384287 |
| DOI | 10.2478/jazcas-2021-0044 |
| Journal | Journal of Linguistics/Jazykovedný casopis |
| Issue Number | 2 |
| Volume Number | 72 |
| Language | English |
| Publisher | Walter de Gruyter GmbH |
| Publisher Date | 2021-12-01 |
| Access Restriction | Open |
| Subject Keyword | Journal of Linguistics/jazykovedný Casopis Medical Informatics Adapt Reading Formula Text Optimized Parallel Language Ease Journal: Journal of Linguistics/Jazykovedný casopis, Issue- 2 |
| Content Type | Text |
| Resource Type | Article |
| Subject | Linguistics and Language |
