@article{BostonHalbeVasishthetal.2011,
  author    = {Boston, Marisa Ferrara and Halbe, John T. and Vasishth, Shravan and Kliegl, Reinhold},
  title     = {Parallel processing and entence comprehension difficulty},
  doi       = {10.1080/01690965.2010.492228},
  year      = {2011},
  abstract  = {Eye fixation durations during normal reading correlate with processing difficulty, but the specific cognitive mechanisms reflected in these measures are not well understood. This study finds support in German readers' eye fixations for two distinct difficulty metrics: surprisal, which reflects the change in probabilities across syntactic analyses as new words are integrated; and retrieval, which quantifies comprehension difficulty in terms of working memory constraints. We examine the predictions of both metrics using a family of dependency parsers indexed by an upper limit on the number of candidate syntactic analyses they retain at successive words. Surprisal models all fixation measures and regression probability. By contrast, retrieval does not model any measure in serial processing. As more candidate analyses are considered in parallel at each word, retrieval can account for the same measures as surprisal. This pattern suggests an important role for ranked parallelism in theories of sentence comprehension.},
  language  = {en}
}
@article{BostonHaleKliegletal.2008,
  author    = {Boston, Marisa Ferrara and Hale, John and Kliegl, Reinhold and Patil, Umesh and Vasishth, Shravan},
  title     = {Parsing costs as predictors of reading difficulty : an evaluation using the Potsdam Sentence Corpus},
  issn      = {1995-8692},
  year      = {2008},
  language  = {en}
}
@article{BostonHaleKliegletal.2008,
  author    = {Boston, Marisa Ferrara and Hale, John and Kliegl, Reinhold and Vasishth, Shravan},
  title     = {Surprising parser actions and reading difficulty},
  year      = {2008},
  language  = {en}
}
@article{BostonHaleVasishthetal.2011,
  author    = {Boston, Marisa Ferrara and Hale, John T. and Vasishth, Shravan and Kliegl, Reinhold},
  title     = {Parallel processing and sentence comprehension difficulty},
  series = {Language and cognitive processes},
  volume    = {26},
  journal   = {Language and cognitive processes},
  number    = {3},
  publisher = {Wiley},
  address   = {Hove},
  issn      = {0169-0965},
  doi       = {10.1080/01690965.2010.492228},
  pages     = {301 -- 349},
  year      = {2011},
  abstract  = {Eye fixation durations during normal reading correlate with processing difficulty, but the specific cognitive mechanisms reflected in these measures are not well understood. This study finds support in German readers' eye fixations for two distinct difficulty metrics: surprisal, which reflects the change in probabilities across syntactic analyses as new words are integrated; and retrieval, which quantifies comprehension difficulty in terms of working memory constraints. We examine the predictions of both metrics using a family of dependency parsers indexed by an upper limit on the number of candidate syntactic analyses they retain at successive words. Surprisal models all fixation measures and regression probability. By contrast, retrieval does not model any measure in serial processing. As more candidate analyses are considered in parallel at each word, retrieval can account for the same measures as surprisal. This pattern suggests an important role for ranked parallelism in theories of sentence comprehension.},
  language  = {en}
}
@misc{BostonHaleKliegletal.2008,
  author    = {Boston, Marisa Ferrara and Hale, John and Kliegl, Reinhold and Patil, Umesh and Vasishth, Shravan},
  title     = {Parsing costs as predictors of reading difficulty: An evaluation using the Potsdam Sentence Corpus},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-57139},
  year      = {2008},
  abstract  = {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.},
  language  = {en}
}
@misc{BostonHaleVasishthetal.2011,
  author    = {Boston, Marisa Ferrara and Hale, John T. and Vasishth, Shravan and Kliegl, Reinhold},
  title     = {Parallel processing and sentence comprehension difficulty},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-57159},
  year      = {2011},
  abstract  = {Eye fixation durations during normal reading correlate with processing difficulty but the specific cognitive mechanisms reflected in these measures are not well understood. This study finds support in German readers' eyefixations for two distinct difficulty metrics: surprisal, which reflects the change in probabilities across syntactic analyses as new words are integrated, and retrieval, which quantifies comprehension difficulty in terms of working memory constraints. We examine the predictions of both metrics using a family of dependency parsers indexed by an upper limit on the number of candidate syntactic analyses they retain at successive words. Surprisal models all fixation measures and regression probability. By contrast, retrieval does not model any measure in serial processing. As more candidate analyses are considered in parallel at each word, retrieval can account for the same measures as surprisal. This pattern suggests an important role for ranked parallelism in theories of sentence comprehension.},
  language  = {en}
}