The analysis of reading times can provide
insights into the processes that underlie
language comprehension, with longer
reading times indicating greater cognitive
load. There is evidence that the language
processor is highly predictive, such that
prior context allows upcoming linguistic
material to be anticipated. Previous work
has investigated the contributions of semantic
and syntactic contexts in isolation,
essentially treating them as independent
factors. In this paper we analyze reading
times in terms of a single predictive measure
which integrates a model of semantic
composition with an incremental parser
and a language model.
