Open AccessPredicting Slovene Text Complexity Using Readability Measures
Author(s) -
Tadej Škvorc,
Simon Krek,
Senja Pollak,
Špela Arhar Holdt,
Marko Robnik–Šikonja
Publication year - 2019
Publication title -
prispevki za novejšo zgodovino
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.213
H-Index - 4
eISSN - 2463-7807
pISSN - 0353-0329
DOI - 10.51663/pnz.59.1.10
Subject(s) - readability , newspaper , test (biology) , task (project management) , computer science , cloze test , linguistics , psychology , natural language processing , advertising , reading (process) , reading comprehension , engineering , paleontology , philosophy , systems engineering , business , biology , programming language
The majority of existing readability measures are designed for English texts. We aim to adapt and test the readability measures on Slovene. We test ten well-known readability formulas and eight additional readability criteria on five types of texts: children’s magazines, general magazines, daily newspapers, technical magazines, and transcriptions of national assembly sessions. As these groups of texts target different audiences, we assume that the differences in writing styles should be reflected in their readability scores. Our analysis shows which readability measures perform well on this task and which fail to distinguish between the groups.