Corpus ID: 59599662

Character-based Surprisal as a Model of Human Reading in the Presence of Errors

@article{Hahn2019CharacterbasedSA,
  title={Character-based Surprisal as a Model of Human Reading in the Presence of Errors},
  author={Michael Hahn and Frank Keller and Yonatan Bisk and Yonatan Belinkov},
  journal={ArXiv},
  year={2019},
  volume={abs/1902.00595}
}
  • Michael Hahn, Frank Keller, +1 author Yonatan Belinkov
  • Published 2019
  • Computer Science
  • ArXiv
  • Intuitively, human readers cope easily with errors in text; typos, misspelling, word substitutions, etc. do not unduly disrupt natural reading. Previous work indicates that letter transpositions result in increased reading times, but it is unclear if this effect generalizes to more natural errors. In this paper, we report an eye-tracking study that compares two error types (letter transpositions and naturally occurring misspelling) and two error rates (10% or 50% of all words contain errors… CONTINUE READING

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