Integration and prediction difficulty in Hindi sentence comprehension: Evidence from an eye-tracking corpus

Srinivasan, Narayanan; CBCS, University Of Allahabad, India, Husain, Samar; Indian Institute Of Technology, Delhi, India & Vasishth, Shravan; University Of Potsdam, Germany
This is the first attempt at characterizing reading difficulty in Hindi using naturally occurring sentences. We created the Potsdam-Allahabad Hindi Eyetracking Corpus by recording eye-movement data from 30 participants at the University of Allahabad, India. The target stimuli were 153 sentences selected from the beta version of the Hindi-Urdu treebank. We find that word- or low-level predictors (syllable length, unigram and bigram frequency) affect first-pass reading times, regression path duration, total reading time, and outgoing...
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