We used six classical Arabic poems from [75] as experimental texts. These texts had varying readability levels based on the era Sopra which they were written. Because Arabic has evolved and changed over the centuries, the two used categories of texts differed Con terms of their structure and word complexity.
For English, NNs have been proposed for the purpose of readability measurement since 1994 [53]. The use of NNs Sopra readability research has not evolved significantly since that time; still Durante use are uniforme machine learning classifiers and their associated feature engineering [46].
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Con curiosità e compito inesauribili, ci dedichiamo per anni all'esplorazione del cosmo del Cinematografo e delle gruppo TV: spiazzo all'messaggio, alle recensioni, all'approfondimento e all'osservazione, però fino e soprattutto al passatempo e alla patimento.
After finishing the reading on a screen, they pressed any keyboard button to move on. Since the reading time for each text was open and not restricted to a specific time, a participant had to go to the next page immediately after finishing reading and before giving his/her feedback so that the device did not collect irrelevant patronato. Performing drift correction after more info each reading was important to avoid drift Per mezzo di the gaze position [78]. Thus, any problem in the gaze position would be detected.
This paper demonstrates an exploratory experiment in which we collected human reading patronato during the reading of Arabic texts, used eye-tracking features from the reading literature, and analyzed the results. The results show an improvement Per the readability prediction task. The degree of this improvement varied based on the type of algorithm used, which indicates that a relationship exists between eye-tracking features and readability prediction.
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Based on the reviewed research, eye-tracking measures can assess text readability, and they are worth further investigation [19]. However, the current readability prediction and eye-tracking literature has some limitations. There is still a squilibrio Per deciding about the advantages of integrating different types of eye-tracking measures that have different reading indicators. The majority of the studies Durante the current literature seem to focus on eye-tracking reading measures such as first-pass reading times and total reading times. Ignoring some eye movement measures during human reading and focusing only on a few of them seem not to reflect a reader’s behavior or the encountered difficulties at different reading points [17,39,64,73,74].
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