Abstract Information‐theoretical complexity metrics are auxiliary hypotheses that link
theories of parsing and grammar to potentially observable measurements such as reading …

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 …

Vector‐based models of word meaning have become increasingly popular in cognitive
science. The appeal of these models lies in their ability to represent meaning simply by …

Although it is generally accepted that hierarchical phrase structures are instrumental in
describing human language, their role in cognitive processing is still debated. We …

Probabilistic expectations and memory limitations are central factors governing the real-time
comprehension of natural language, but how the two factors interact remains poorly …

Object relatives (ORs) have been reported to cause heavier processing loads than subject
relatives (SRs) in both pre-and postnominal position (prenominal relatives: Miyamoto & …

Languages vary considerably in syntactic structure. About 40% of the world's languages
have subject–verb–object order, and about 40% have subject–object–verb order. Extensive …

Although syntactic complexity has been investigated across dozens of studies, the available
data still greatly underdetermine relevant theories of processing difficulty. Memory-based …

Recent research has shown that language comprehenders make predictions about
upcoming linguistic information. These studies demonstrate that the processor not only …

This article examines cognitive process models of human sentence comprehension based
on the idea of informed search. These models are rational in the sense that they strive to find …