Abstract
The use of simple and easy to understand language is an essential requirement for web documents to be accessible by people with cognitive or reading disabilities. We present an architecture that scores the readability of textual content automatically and also provides hints about possible obstacles to readability in the given text. Our approach is based on a natural language processing framework that supports all levels of linguistic analysis, ranging from the morphological analysis of words to the semantic analysis of sentences and texts.
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Jenge, C., Hartrumpf, S., Helbig, H., Osswald, R. (2006). Automatic Control of Simple Language in Web Pages. In: Miesenberger, K., Klaus, J., Zagler, W.L., Karshmer, A.I. (eds) Computers Helping People with Special Needs. ICCHP 2006. Lecture Notes in Computer Science, vol 4061. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11788713_31
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DOI: https://doi.org/10.1007/11788713_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36020-9
Online ISBN: 978-3-540-36021-6
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