Reading time data for evaluating broad coverage models of english sentence processing

Publication

AuthorsFrank, Stefan L.OA{Fernandez Monsalve}, Irene OAThompson, Robin L.OAVigliocco, Gabriella OA

Year2013

JournalBehavior Research Methods

Abstract

We make available word-by-word self-paced reading times and eye-tracking data over a sample of English sentences from narrative sources. These data are intended to form a gold standard for the evaluation of computational psycholinguistic models of sentence comprehension in English. We describe stimuli selection and data collection and present descriptive statistics, as well as comparisons between the two sets of reading times.

LanguageEnglish

Stimuli typesentences

Stimuli count361

Participant typefirst-year undergraduate students

Participant count117

Reliabilities

Instructions

Subjects were instructed to read the sentence as quickly and accurately as possible. As soon as they pressed the space bar, the fixation cross was replaced by the sentence's first word in 40-point Courier New font.

Recognition times for 62 thousand english words data from the english crowdsourcing project2019 Presenting geco an eyetracking corpus of monolingual and bilingual sentence reading2017

Proceedings of the 35th Annual Conference of the Cognitive Science Society2013

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Reading time data for evaluating broad coverage models of english sentence processing

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