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
- 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)
- PDF:
- https://preview.aclanthology.org/teach-a-man-to-fish/W17-5003.pdf