The natural stories corpus
Name
1708.05763.pdf
Description
Submitted version
Size
681.39 KB
Format
Unknown
Checksum (MD5)
10c2632174e3dffa54c1b6bacb865498
Author(s)
Futrell, Richard
Gibson, Edward
Blank, Idan
Vishnevetsky, Anastasia
Date Issued
2018
Citation
Futrell, Richard, Gibson, Edward, Blank, Idan and Vishnevetsky, Anastasia. 2018. "The natural stories corpus."
Version
Original manuscript
Abstract
© LREC 2018 - 11th International Conference on Language Resources and Evaluation. All rights reserved. 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. Here we give an overview of the content of the corpus and release the data.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Center for Brains, Minds, and Machines
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
http://www.lrec-conf.org/proceedings/lrec2018/pdf/337.pdf
