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This paper tries to establish the most important parameters of readability when it comes to choosing reading books for students in the second and third stages of primary and compulsory secondary education (CSE). A computational system is postulated, through data-mining techniques, capable of automatically classify reading texts by virtue of syntactic, lexical, semantics, and topological parameters regarding their overall content. The validity of this process is ensured through a careful selection by editorial experts used to accomplish the same validation task among different texts. In this paper, the results in the automatic classification of the degree of readability reached are promising; they allow to continue with a deeper investigation in this field of analysis with the purpose of progressing in the age rank studied, as well as in the text themes defining the corpus.

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Relevant Parameters for the Classification of Reading Books Depending on the Degree of Textual Readability in Primary and Compulsory Secondary Education (CSE) Students