Do NLP and machine learning improve traditional readability formulas?

Thomas François, Eleni Miltsakaki


Anthology ID:
W12-2207
Volume:
Proceedings of the First Workshop on Predicting and Improving Text Readability for target reader populations
Month:
June
Year:
2012
Address:
Montréal, Canada
Editors:
Sandra Williams, Advaith Siddharthan, Ani Nenkova
Venue:
PITR
SIG:
SIGSLPAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
49–57
Language:
URL:
https://aclanthology.org/W12-2207
DOI:
Bibkey:
Cite (ACL):
Thomas François and Eleni Miltsakaki. 2012. Do NLP and machine learning improve traditional readability formulas?. In Proceedings of the First Workshop on Predicting and Improving Text Readability for target reader populations, pages 49–57, Montréal, Canada. Association for Computational Linguistics.
Cite (Informal):
Do NLP and machine learning improve traditional readability formulas? (François & Miltsakaki, PITR 2012)
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PDF:
https://aclanthology.org/W12-2207.pdf