Repository: OpenScienceRepository
Depends: R (>= 2.14)
Date: 2008-01-01 00:00:00
Title: Parsing costs as predictors of reading difficulty: An evaluation using the Potsdam Sentence Corpus
Description: 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 frequency and bigram frequency (transitional probability), 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 compre- hension 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.   Journal of Eye Movement Research  
Author: Marisa Boston and John Hale and Reinhold Kliegl and Umesh Patil and Shravan Vasishth
Maintainer: Marisa Boston
Authors@R: c(person(given ="Marisa", family = "Boston", role = c("aut", "cre")), person(given ="John", family = "Hale", role = c("aut")), person(given ="Reinhold", family = "Kliegl", role = c("aut")), person(given ="Umesh", family = "Patil", role = c("aut")), person(given ="Shravan", family = "Vasishth", role = c("aut")))
Package: BostonHaleKlieglPatilVasishth2008
Version: 1.0
License: CC BY-NC (http://creativecommons.org/licenses/by-nc/3.0/de/)
