Estimating the effect of word predictability on eye movements in Chinese reading using latent semantic analysis and transitional probability

Hsueh-Cheng Wang*, Marc Pomplun, Minglei Chen, Hwawei Ko, Keith Rayner

*Corresponding author for this work

Research output: Contribution to journalArticle

15 Scopus citations

Abstract

Latent semantic analysis (LSA) and transitional probability (TP), two computational methods used to reflect lexical semantic representation from large text corpora, were employed to examine the effects of word predictability on Chinese reading. Participants' eye movements were monitored, and the influence of word complexity (number of strokes), word frequency, and word predictability on different eye movement measures (first-fixation duration, gaze duration, and total time) were examined. We found influences of TP on first-fixation duration and gaze duration and of LSA on total time. The results suggest that TP reflects an early stage of lexical processing while LSA reflects a later stage.

Original languageEnglish
Pages (from-to)1374-1386
Number of pages13
JournalQuarterly Journal of Experimental Psychology
Volume63
Issue number7
DOIs
StatePublished - 1 Jul 2010

Keywords

  • Chinese reading
  • Eye movements
  • Latent semantic analysis
  • Transitional probability
  • Word predictability

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