Large-scale evidence for logarithmic effects of word predictability on reading time
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' …
from sequences of words. The difficulty of doing so is known to be related to words' …
Constraint satisfaction in large language models
CL Jacobs, MC MacDonald - Language, Cognition and …, 2024 - Taylor & Francis
Constraint satisfaction theories were prominent in the late 20th century and emphasized
continuous, rich interaction between many sources of information in a linguistic signal …
continuous, rich interaction between many sources of information in a linguistic signal …
Active Use of Latent Constituency Representation in both Humans and Large Language Models
Understanding how sentences are internally represented in the human brain, as well as in
large language models (LLMs) such as ChatGPT, is a major challenge for cognitive science …
large language models (LLMs) such as ChatGPT, is a major challenge for cognitive science …
A hierarchical Bayesian model for syntactic priming
The effect of syntactic priming exhibits three well-documented empirical properties: the
lexical boost, the inverse frequency effect, and the asymmetrical decay. We aim to show how …
lexical boost, the inverse frequency effect, and the asymmetrical decay. We aim to show how …