Eye movement control in Turkish sentence reading

Area of Science:

• Cognitive Science
• Psycholinguistics
• Computational Linguistics

Background:

• Reading is a complex cognitive process involving visual perception and language comprehension.
• Understanding how eye movements during reading are influenced by text characteristics is crucial for cognitive models.
• Investigating these dynamics across different languages, like Turkish, tests the generalizability of existing reading theories.

Purpose of the Study:

• To examine the influence of word characteristics and morphological complexity on eye movements during Turkish reading.
• To replicate known effects of word frequency and predictability in a new linguistic context.
• To test for language-specific effects, such as morphological complexity, on reading dynamics.

Main Methods:

• Collected eye-tracking data from 35 adults reading 120 nine-word Turkish sentences.
• Analyzed single-fixation durations, word skipping, and fixation counts.
• Employed a baseline category logit model to control for word-selection bias and analyze fixation probabilities.

Main Results:

• Replicated canonical effects of word frequency and predictability on fixation durations.
• Found no evidence for morphological effects (number of suffixes) on single-fixation durations.
• Observed significant effects of word characteristics and suffix count on fixation probabilities using a logit model, with mixed results for neighboring word effects.

Conclusions:

• Word frequency and predictability are key drivers of reading dynamics in Turkish, consistent with general models.
• Morphological complexity, specifically suffix count, did not directly impact fixation durations but influenced fixation probabilities.
• Findings suggest that while some reading processes are language-universal, others may be modulated by language-specific structures.