Return to search

Parsing costs as predictors of reading difficulty: An evaluation using the Potsdam Sentence Corpus

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.

Identiferoai:union.ndltd.org:Potsdam/oai:kobv.de-opus-ubp:5713
Date January 2008
CreatorsBoston, Marisa Ferrara, Hale, John, Kliegl, Reinhold, Patil, Umesh, Vasishth, Shravan
PublisherUniversität Potsdam, Humanwissenschaftliche Fakultät. Institut für Psychologie, Extern. Extern
Source SetsPotsdam University
LanguageEnglish
Detected LanguageEnglish
TypePostprint
Formatapplication/pdf
SourceJournal of Eye Movement Research. - ISSN 1995-8692. - 2 (2008), 1, S. 1-12
Rightshttp://opus.kobv.de/ubp/doku/urheberrecht.php

Page generated in 0.0022 seconds