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Journals ACM SIGACCESS Accessibility and Computing Issue 93

My research goal is to advance our understanding of, and quantify, what makes a text easy or difficult to read, in particular for readers with intellectual disabilities. Previous research in automatic readability assessment has looked at a limited class of lexi-cal and syntactic properties of texts. Moreover, these models are usually not targeted towards any particular group of readers. In my own work, by contrast, I have used sophisticated computational tools to build an automatic readability metric that exploits global semantic (discourse level) properties of a text, in addition to well-studied lexical and syntactic features. Our preliminary results (Feng et al., 2009) confirm the value of discourse attributes. My research is targeted towards understanding the particular difficulties faced by readers with intellectual disabilities. The ultimate goal is not simply to model and understand readability issues, but also to aide in the development of automatic language processing tools that can rewrite texts to be more readable.

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Automatic readability assessment for people with intellectual disabilities

Feng, Lijun
ACM SIGACCESS Accessibility and Computing , Volume (93)
Association for Computing Machinery – Jan 1, 2009

More Info
  • Publisher Association for Computing Machinery
  • Copyright The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc.
  • Subject Interaction styles (e.g., commands, menus, forms, direct manipulation)
  • ISSN 1558-2337
  • D.O.I. 10.1145/1531930.1531940
  • Publisher site Get PDF  

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