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We used each algorithm to build two models Per two rounds. We used all the 186-word types Sopra our vocabulary Per mezzo di both rounds but with different features Durante the prediction analysis. Con the first round, we used the features extracted from OSMAN by having the linguistic features No_of_Syllables and Is_Faseeh as predictor variables and

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Motivated by this, we present a pilot study to explore the extent to which eye-tracking measures enhance Arabic text readability. We collected the eye movements of 41 participants while reading Arabic texts to provide real-time processing of the text; these data were further analyzed and used to build several readability prediction models using dif