TURead: An eye movement dataset of Turkish reading
December 02, 2023 ยท Declared Dead ยท ๐ Behavior Research Methods
"No code URL or promise found in abstract"
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Authors
Cengiz Acarturk, Aysegul Ozkan, Tugce Nur Pekcetin, Zuhal Ormanoglu, Bilal Kirkici
arXiv ID
2312.01114
Category
cs.CL: Computation & Language
Cross-listed
cs.HC
Citations
8
Venue
Behavior Research Methods
Last Checked
5 months ago
Abstract
In this study, we present TURead, an eye movement dataset of silent and oral sentence reading in Turkish, an agglutinative language with a shallow orthography understudied in reading research. 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.
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