TY  - GEN
A1  - Boston, Marisa Ferrara
A1  - Hale, John
A1  - Kliegl, Reinhold
A1  - Patil, Umesh
A1  - Vasishth, Shravan
T1  - Parsing costs as predictors of reading difficulty: An evaluation using the Potsdam Sentence Corpus
N2  - The surprisal of a word on a probabilistic grammar constitutes a promising complexity metric for human sentence comprehension difficulty. Using two different grammar types, surprisal is shown to have an effect on fixation durations and regression probabilities in a sample of German readers’ eye movements, the Potsdam Sentence Corpus. A linear mixed-effects model was used to quantify the effect of surprisal while taking into account unigram and bigram frequency, word length, and empirically-derived word predictability; the so-called “early” and “late” measures of processing difficulty both showed an effect of surprisal. Surprisal is also shown to have a small but statistically non-significant effect on empirically-derived predictability itself. This work thus demonstrates the importance of including parsing costs as a predictor of comprehension difficulty in models of reading, and suggests that a simple identification of syntactic parsing costs with early measures and late measures with durations of post-syntactic events may be difficult to uphold.
T3  - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - paper 253 
Y1  - 2011
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/5511
UR  - https://nbn-resolving.org/urn:nbn:de:kobv:517-opus-57139
ER  -