## Commented bibliography on readability assessment

I have selected a few papers on readability published in the last years, all available online (for instance using a specialized search engine, see previous post):

- First of all, I reviewed this one last week, it is a very up-to-date article. L. Feng, M. Jansche, M. Huenerfauth, and N. Elhadad, “A Comparison of Features for Automatic Readability Assessment”, 2010, pp. 276-284.
- The seminal paper to which Feng et al. often refers, as they combine
several approaches, especially statistical language models, support
vector machines and more traditional criteria. A comprehensive
bibliography.
S. E. Schwarm and M. Ostendorf, “Reading level assessment using support vector machines and statistical language models”, in
*Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics*, 2005, pp. 523-530. - A complementary approach, also a combination of features, this time mainly of lexical and grammatical ones, with a focus on the latter, as the authors use parse trees and subtrees (i.e. «relative frequencies of partial syntactic derivations») at three different levels. I found this convincing. A comparison of three statistical models: Linear Regression, Proportional Odds Model and Multi-class Logistic Regression. M. Heilman, K. Collins-Thompson, and M. Eskenazi, “An analysis of statistical models and features for reading difficulty ...