Paper: Ranking-based readability assessment for early primary children’s literature

ACL ID N12-1063
Title Ranking-based readability assessment for early primary children’s literature
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2012
Authors

Determining the reading level of children?s lit- erature is an important task for providing edu- cators and parents with an appropriate reading trajectory through a curriculum. Automating this process has been a challenge addressed before in the computational linguistics litera- ture, with most studies attempting to predict the particular grade level of a text. However, guided reading levels developed by educators operate at a more fine-grained level, with mul- tiple levels corresponding to each grade. We find that ranking performs much better than classification at the fine-grained leveling task, and that features derived from the visual lay- out of a book are just as predictive as standard text features of level; including both sets of features, we find that we can predict the read- ing ...