This thesis presents NL-Soar, a detailed computational model of human sentence
comprehension that accounts for a broad range of psycholinguistic phenomena. NL-Soar …

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

A number of sentence comprehension models have been developed over the past 30 years
or so. Many of these have been aimed at the central issue of explain ing how people resolve …

Abstract Traxler, Pickering, and Clifton (1998) found that ambiguous sentences are read
faster than their unambiguous counterparts. This so‐called ambiguity advantage has …

The time-course with which readers use event-specific world knowledge (thematic fit) to
resolve structural ambiguity was explored through experiments and implementation of …

People comprehend utterances rapidly and without conscious effort. Traditional theories
assume that sentence processing is algorithmic and that meaning is derived …

The ambiguity problem takes center stage in models of sentence processing because, to a
first approximation, linguistic input is presented sequentially to the processing system in both …

Considerable empirical evidence indicates that perceivers construct a grammatical
representation of sentences during comprehension. The principles underlying constituent …

Abstract Language comprehension, as with all other cases of the extraction of meaningful
structure from perceptual input, takes places under noisy conditions. If human language …

The process of comprehending sentences involves the integration of a variety of different
information sources, constrained by the available computational resources. This paper …