The Natural Stories corpus: a reading-time corpus of English texts containing rare syntactic constructions
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10579_2020_Article_9503.pdf
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Author(s)
Futrell, Richard
Gibson, Edward A
Tily, Harry J.
Blank, Idan
Vishnevetsky, Anastasia
Piantadosi, Steven T.
Fedorenko, Evelina
Date Issued
September 2020
Journal
Language Resources and Evaluation
Publisher
Springer Science and Business Media LLC
Citation
Futrell, Richard et al. "The Natural Stories corpus: a reading-time corpus of English texts containing rare syntactic constructions." Language Resources and Evaluation (September 2020): doi.org/10.1007/s10579-020-09503-7 © 2020 Springer Nature
Version
Final published version
Abstract
It is now a common practice to compare models of human language processing by comparing how well they predict behavioral and neural measures of processing difficulty, such as reading times, on corpora of rich naturalistic linguistic materials. However, many of these corpora, which are based on naturally-occurring text, do not contain many of the low-frequency syntactic constructions that are often required to distinguish between processing theories. Here we describe a new corpus consisting of English texts edited to contain many low-frequency syntactic constructions while still sounding fluent to native speakers. The corpus is annotated with hand-corrected Penn Treebank-style parse trees and includes self-paced reading time data and aligned audio recordings. We give an overview of the content of the corpus, review recent work using the corpus, and release the data.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
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Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.1007/s10579-020-09503-7
