Paper Info
Title
Evaluating the Readability of Text Simplification Output for Readers with Cognitive Disabilities.
Abstract
This paper presents an approach for automatic evaluation of the readability of text simplification output for readers with cognitive disabilities. First, we present our work towards the development of the EasyRead corpus, which contains easy-to-read documents created especially for people with cognitive disabilities. We then compare the EasyRead corpus to the simplified output contained in the LocalNews corpus (Feng, 2009), the accessibility of which has been evaluated through reading comprehension experiments including 20 adults with mild intellectual disability. This comparison is made on the basis of 13 disability-specific linguistic features. The comparison reveals that there are no major differences between the two corpora, which shows that the EasyRead corpus is to a similar reading level as the user-evaluated texts. We also discuss the role of Simple Wikipedia (Zhu et al., 2010) as a widely-used accessibility benchmark, in light of our finding that it is significantly more complex than both the EasyRead and the LocalNews corpora.
Year
Venue
Keywords
2016
LREC 2016 - TENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
readability,text simplification,cognitive disabilities,autism,easy-to-read
Field
DocType
Citations 
Autism,Text simplification,Computer science,Speech recognition,Readability,Natural language processing,Artificial intelligence,Cognitive disabilities
Conference
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Victoria Yaneva1177.80
Irina P. Temnikova2489.76
Ruslan Mitkov357568.89