According to the dominant computational approach in cognitive science, cognitive agents
are digital computers; according to the alternative approach, they are dynamical systems …

The syntactic preferences of briefly displayed prime words were found to affect readers'
ability to resolve temporary syntactic ambiguities. In two self-paced reading experiments …

We suggest that the theory of dynamical systems provides a revealing general framework for
modeling the representations and mechanism underlying syntactic processing. We show …

The most predominant language processing theories have, for some time, been based
largely on structured knowledge and relatively simple rules. These symbolic models …

It has been shown that if a recurrent neural network (RNN) learns to process a regular
language, one can extract a finite-state machine (FSM) by treating regions of phase-space …

In the last fifteen years, there has been a striking convergence of perspectives in the fields of
linguistics, computational linguistics, and psycholinguistics regarding the representation and …

We describe a Constraint-Based Lexicalist model of human sentence processing.
Highlighting a convergence of developments in multiple fields toward lexicalist and …

Researchers in analog computation theory have shown that a recurrent neural network
(RNN) can be built to simulate a Turing machine (Pollack, 1987b; Siegelmann & Sontag …

The conventional view of natural language processing is based on mechanisms of discrete
automata, in which discrete states and transitions between states specify the temporal …

Understanding the workings of the human language system remains a great challenge. One
approach to gain insight into the process has focused on discovering the type of information …