This guide describes best practices in using eye tracking technology for research in a variety
of disciplines. A basic outline of the anatomy and physiology of the eyes and of eye …

Eye Tracking in Second Language Acquisition and Bilingualism provides foundational
knowledge and hands-on advice for designing, conducting, and analysing eye-tracking …

Departing from traditional linguistic models, advances in deep learning have resulted in a
new type of predictive (autoregressive) deep language models (DLMs). Using a self …

Abstract The use of Linear Mixed-effects Models (LMMs) is set to dominate statistical
analyses in psychological science and may become the default approach to analyzing …

Scientific studies of language behavior need to grapple with a large diversity of languages in
the world and, for reading, a further variability in writing systems. Yet, the ability to form …

Many emojis symbolize nonverbal cues that are used during face-to-face communication.
Despite their popularity, few studies have examined how emojis influence digital …

In the Chinese writing system, there are no interword spaces to mark word boundaries. To
understand how Chinese readers conquer this challenge, we constructed an integrated …

A key component of research on human sentence processing is to characterize the
processing difficulty associated with the comprehension of words in context. Models that …

Much research in cognitive neuroscience supports prediction as a canonical computation of
cognition across domains. Is such predictive coding implemented by feedback from higher …

It is well known that real-time human language processing is highly incremental and context-
driven, and that the strength of a comprehender's expectation for each word encountered is …