TURead: An eye movement dataset of Turkish reading

Date

2023-01-01

Author

Acartürk, Cengiz
Özkan, Ayşegül
Pekçetin, Tuğçe Nur
Ormanoğlu, Zuhal
Kırkıcı, Bilal

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Eye movements, Oculomotor control, Oral reading, Silent reading, Turkish

URI

https://hdl.handle.net/11511/104757

Collections

Graduate School of Informatics, Article