Continuous fluency tracking and the challenges of varying text complexity

Beata Beigman Klebanov, Anastassia Loukina, John Sabatini, Tenaha O’Reilly


Abstract
This paper is a preliminary report on using text complexity measurement in the service of a new educational application. We describe a reading intervention where a child takes turns reading a book aloud with a virtual reading partner. Our ultimate goal is to provide meaningful feedback to the parent or the teacher by continuously tracking the child’s improvement in reading fluency. We show that this would not be a simple endeavor, due to an intricate relationship between text complexity from the point of view of comprehension and reading rate.
Anthology ID:
W17-5003
Volume:
Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications
Month:
September
Year:
2017
Address:
Copenhagen, Denmark
Editors:
Joel Tetreault, Jill Burstein, Claudia Leacock, Helen Yannakoudakis
Venue:
BEA
SIG:
SIGEDU
Publisher:
Association for Computational Linguistics
Note:
Pages:
22–32
Language:
URL:
https://aclanthology.org/W17-5003
DOI:
10.18653/v1/W17-5003
Bibkey:
Cite (ACL):
Beata Beigman Klebanov, Anastassia Loukina, John Sabatini, and Tenaha O’Reilly. 2017. Continuous fluency tracking and the challenges of varying text complexity. In Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, pages 22–32, Copenhagen, Denmark. Association for Computational Linguistics.
Cite (Informal):
Continuous fluency tracking and the challenges of varying text complexity (Beigman Klebanov et al., BEA 2017)
Copy Citation:
PDF:
https://aclanthology.org/W17-5003.pdf