TURead: An eye movement dataset of Turkish reading
Acarturk, Cengiz, Ozkan, Aysegul, Pekcetin, Tugce Nur, Ormanoglu, Zuhal, Kirkici, Bilal
–arXiv.org Artificial Intelligence
TURead provides empirical data to investigate the relationship between morphology and oculomotor control. We employ a target-word approach in which target words are manipulated by word length and by the addition of two commonly used suffixes in Turkish. The dataset contains well-established eye movement variables; prelexical characteristics such as vowel harmony and bigram-trigram frequencies and word features, such as word length, predictability, frequency, eye voice span measures, Cloze test scores of the root word and suffix predictabilities, as well as the scores obtained from two working memory tests. Our findings on fixation parameters and word characteristics are in line with the patterns reported in the relevant literature.
arXiv.org Artificial Intelligence
Dec-2-2023
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