Reviews

Search results

• A Comparison of Features for Automatic Readability Assessment

  Lijun Feng, Martin Jansche, Matt Huenerfauth, Noémie Elhadad · 2010 · Proceedings of the 23rd International Conference on Computational Linguistics (COLING '10), Posters

  Feng et al. (2010) is a computational-linguistics paper that compares a wide variety of text features for automatically predicting the grade level of reading material aimed at primary-school students. The motivation is both intrinsic — traditional readability formulas such as…

  readability · automatic readability assessment · text simplification · plain language · cognitive accessibility

• Cognitively Motivated Features for Readability Assessment

  Lijun Feng, Noémie Elhadad, Matt Huenerfauth · 2009 · Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2009)

  Feng, Elhadad, and Huenerfauth (2009) develop and evaluate an automatic readability-assessment tool targeted specifically at adults with intellectual disabilities (ID) — people in the 'mild' category (IQ 55-70), who comprise roughly 3% of the U.S. population. Rather than reusing…

  readability · automatic readability assessment · cognitive accessibility · intellectual disability · mild intellectual disability

2 results.