We outline four ways in which uncertainty might affect comprehension difficulty in human
sentence processing. These four hypotheses motivate a self-paced reading experiment, in …

The aim of this thesis is to design and implement a cognitively plausible theory of sentence
processing which incorporates a mechanism for modeling a prediction and verification …

Sentence comprehension-the way we process and understand spoken and written
language-is a central and important area of research within psycholinguistics. This book …

Disfluencies, like uh, have been shown to help listeners anticipate reference to low-
frequency words. The associative account of this 'disfluency bias' proposes that listeners …

In this paper we propose a novel statistical language model to capture long-range semantic
dependencies. Specifically, we apply the concept of semantic composition to the problem of …

Sentence processing theories typically assume that the input to our language processing
mechanisms is an error-free sequence of words. However, this assumption is an …

Recent advances in probabilistic pragmatics have achieved considerable success in
modeling speakers' and listeners' pragmatic reasoning as probabilistic inference. However …

The interplay of content and context is observable in a moment to moment manner as
propositional content unfolds. The current contribution illustrates this through data from real …

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

When people encounter polysemous words (ie, words with two or more relatively common
meanings), how is the contextually appropriate meaning selected? Contextual information …