This corpus compiles original and simplified texts for eye-tracking analysis, aiding language understanding.
Eye tracking offers an objective window on real-time cognitive processing of information being read: longer fixations, more regressions, and wider pupil dilation reliably index linguistic difficulty. Yet, there is a paucity of the available corpora annotated with eye-tracking features. We introduce in this paper the FETA corpus -a French Eye-TrAcking corpus. It combines three types of texts (general, medical and clinical) in two versions (original and manually simplified). These texts are read by 46 participants, from which we collect eye-tracking data through dozens of eye-tracking features.
No takes yet. Share an insight, caveat, or question.
Івченко et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: