New global research shows eye movements reveal how native languages shape reading | The-14

Global research reveals how native languages shape reading through eye-tracking, offering insights to improve literacy for immigrants and multilingual learners.

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TURead: An eye movement dataset of Turkish reading - Behavior Research Methods

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.

Comparison of font size and background color strategies for tag weights on tag maps

Tag weight differences in tag maps are usually reflected by different font sizes. With this strategy, low weighted tags may be ignored and tag sizes may be misjudged due to differing word length, ...