Predicting reading difficulty with statistical language models
Journal of the American Society for Information Science and Technology
A machine learning approach to reading level assessment
Computer Speech and Language
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Classic children's literature such as Alice in Wonderland is nowadays freely available thanks to initiatives such as Project Gutenberg. Due to diverging vocabularies and style, these texts are often not readily understandable to children in the present day. Our goal is to make such texts more accessible by aiding children in the reading process, in particular by automatically identifying the terms that result in low readability. As a first step, in this poster we report on a preliminary user study that investigates the extent of the vocabulary problem. We also propose and evaluate a basic approach to detect such difficult terminology.