  Numerous analyses of reading time (RT) data have been implemented -- all in
an effort to better understand the cognitive processes driving reading
comprehension. However, data measured on words at the end of a sentence -- or
even at the end of a clause -- is often omitted due to the confounding factors
introduced by so-called "wrap-up effects," which manifests as a skewed
distribution of RTs for these words. Consequently, the understanding of the
cognitive processes that might be involved in these wrap-up effects is limited.
In this work, we attempt to learn more about these processes by examining the
relationship between wrap-up effects and information-theoretic quantities, such
as word and context surprisals. We find that the distribution of information in
prior contexts is often predictive of sentence- and clause-final RTs (while not
of sentence-medial RTs). This lends support to several prior hypotheses about
the processes involved in wrap-up effects.
