Much of my research has been concerned with how lexical, semantic,
and discourse information can be integrated during language comprehension.
The resolution of semantic and syntactic ambiguity has played
a central role in the debate about the structure of the language
comprehension system because of the special problems that it poses
for the efficient functioning of the language processor. Our current
research investigates how various factors contribute to potential
reading problems when ambiguity is encountered. These efforts
have utilized data from experiments with human subjects and also
from computer simulations of language comprehension.
A major research effort is our work at modeling the semantic
system. The Hyperspace Analogue to Language (HAL) model has been
the focus of this research whick is summarized on its own
page.We have investigated a broad range of memory and language
phenomena using the model in conjunction with empirical research
with human subjects.
See the lab reprints page for
abstracts of our work.