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Additionally, eye fixations could be seen Sopra fixation maps or heatmaps (Figure 3) that aggregate the fixations of all the participants when reading texts with low and high readability scores and show the words that are fixated upon and the duration of these fixations.

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Moreover, there is a somewhat rigid correlation between the location and length of fixations and the processing operations linked to the specific text. This was verified in the work of Rayner et al. [63], which more info demonstrated that there is a correlation between text difficulty and fixation count and duration.

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Offering an open-source Arabic human reading corpus will be an excellent contribution for Arabic that will open the door for broader utilization of eye-tracking for readability assessment of many NLP tasks, such as text simplification, machine translation, text summarization, etc.

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However, although the primary goal of text readability assessment models is to guarantee the predictions that reflect readers’ difficulties, the majority of these models are annotated using experts’ judgments and not built using the actual audiences’ reading forma [8,9].

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Per mezzo di addition, we took the common subjective readabilities from all the participants for all texts. Table 8 shows all extracted eye-tracking measures and common labels assigned by participants.

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