Title |
The Provo Corpus: A large eye-tracking corpus with predictability norms
|
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Published in |
Behavior Research Methods, May 2017
|
DOI | 10.3758/s13428-017-0908-4 |
Pubmed ID | |
Authors |
Steven G. Luke, Kiel Christianson |
Abstract |
This article presents the Provo Corpus, a corpus of eye-tracking data with accompanying predictability norms. The predictability norms for the Provo Corpus differ from those of other corpora. In addition to traditional cloze scores that estimate the predictability of the full orthographic form of each word, the Provo Corpus also includes measures of the predictability of the morpho-syntactic and semantic information for each word. This makes the Provo Corpus ideal for studying predictive processes in reading. Some analyses using these data have previously been reported elsewhere (Luke & Christianson, 2016). The Provo Corpus is available for download on the Open Science Framework, at https://osf.io/sjefs . |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 95 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 21 | 22% |
Student > Master | 14 | 15% |
Researcher | 11 | 12% |
Student > Doctoral Student | 7 | 7% |
Other | 4 | 4% |
Other | 17 | 18% |
Unknown | 21 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 20 | 21% |
Linguistics | 16 | 17% |
Computer Science | 15 | 16% |
Neuroscience | 4 | 4% |
Arts and Humanities | 3 | 3% |
Other | 11 | 12% |
Unknown | 26 | 27% |