Abstract

Naturalistic Reading Time Data Support Information Locality

Authors
  • Hailin Hao (University of Southern California)
  • Himanshu Yadav (Indian Institute of Technology Kanpur)
  • Elsi Kaiser (University of Southern California)

Abstract

Both expectation and locality have been established as key factors in characterizing incremental sentence processing difficulty. Here we investigate the less explored question whether and how expectation and locality interact with each other using data from naturalistic reading time corpora. We found that the data support the Information Locality hypothesis: Strong expectations can enhance locality effects.  We argue that future theory building in sentence processing should therefore take into consideration both expectation and locality, as well as their potential interaction.

Keywords: sentence processing, corpus analysis

How to Cite:

Hao, H., Yadav, H. & Kaiser, E., (2024) “Naturalistic Reading Time Data Support Information Locality”, Society for Computation in Linguistics 7(1), 273–274. doi: https://doi.org/10.7275/scil.2196

Downloads:
Download PDF

153 Views

39 Downloads

Published on
24 Jun 2024
Peer Reviewed