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 …

During real-time language comprehension, our minds rapidly decode complex meanings
from sequences of words. The difficulty of doing so is known to be related to words' …

Surprisal theory posits that less-predictable words should take more time to process, with
word predictability quantified as surprisal, ie, negative log probability in context. While …

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 …

Prediction has been proposed as an overarching principle that explains human information
processing in language and beyond. To what degree can processing difficulty in …

Word embeddings are real-valued word representations able to capture lexical semantics
and trained on natural language corpora. Models proposing these representations have …

The uniform information density (UID) hypothesis posits a preference among language
users for utterances structured such that information is distributed uniformly across a signal …

Historically, prediction during reading has been considered an inefficient and cognitively
expensive processing mechanism given the inherently generative nature of language, which …

A lack of corpora has so far limited advances in integrating human gaze data as a
supervisory signal in neural attention mechanisms for natural language processing (NLP) …

An interesting method of evaluating word representations is by how much they reflect the
semantic representations in the human brain. However, most, if not all, previous works only …