Comp4text checker: An automatic and visual evaluation tool to check the readability of spanish web pages

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Abstract

One important requirement for a web page to be accessible for all, according to the current international recommendations from the W3C Accessibility Initiative is that the text should be readable and understandable to the broadest audience possible. Nowadays, unfortunately, the information included in the web pages are not easy to read and understand to everybody. This paper introduces the Comp4Text online readability evaluation tool, which is able to calculate the readability level of a web page based on classical linguistic measures (sentence to sentence) and detect unusual words and abbreviations. Moreover, it provides recommendations to solve the readability problems and show everything in a very visual way. Thanks to this tool, the web page designers and writers could improve their sites, being easier to be read and understand for all. Currently, Comp4Text is based on the Spanish language, but it can be easily extended to other languages if the readability metrics and easy-to-read rules are well-known.

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Iglesias, A., Cobián, I., Campillo, A., Morato, J., & Sánchez-Cuadrado, S. (2020). Comp4text checker: An automatic and visual evaluation tool to check the readability of spanish web pages. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12376 LNCS, pp. 258–265). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-58796-3_31

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