TURead: An eye movement dataset of Turkish reading
Cengiz Acarturk Aysegul Ozkan Tugce Nur Pekcetin Zuhal Ormanoglu Bilal Kirkici
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.