• I'm interested in the underlying mechanisms of on-line sentence processing, and how children learn adult-like sentence processing. 
  • I combine cognitive modeling (computational simulations of cognitive processes) with experimental studies to test the predictons of these models. 
  • I'm interested in how to analyze time course data. 

Current project(s)

NWO Veni

Learning language from expectations

What pronouns such as “he" or “she" refer to, changes from sentence to sentence. This project applies the learning theory of Rescorla and Wagner to the acquisition of pronouns. The central idea behind this theory is that children learn from incorrect predictions. The project will combine experiments, corpus research and computational modelling.

Data Science project (RIS / Digital Humanities)

Automatic Processing of Eye Tracking Movies

PhD students

  • Dorothée HoppeProject: How do we learn the moon is female after all? The role of sequential and distributional properties in linguistic category learningCo-supervised by Prof. Dr. Petra Hendriks.
  • Abby TothProject: The investigation of children’s discourse processing using experimental studies and computational simulationsOther supervisors: Prof. Dr. Niels Taatgen and Prof. Dr. Petra Hendriks.
  • Mark Ji. Primary supervisor: Prof. Dr. Niels Taatgen.


  • van Rij, Hendriks, van Rijn, Baayen, and Wood (2019): Analyzing the time course of pupillometric data. link
  • Feldman, Dale, and van Rij (2019): Lexical and frequency effects on keystroke timing: Challenges to a lexical search account from a type-to-copy task. link