Modeling local coherence: An entity-based approach
Computational Linguistics
Revisiting readability: a unified framework for predicting text quality
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Readability assessment for text simplification
IUNLPBEA '10 Proceedings of the NAACL HLT 2010 Fifth Workshop on Innovative Use of NLP for Building Educational Applications
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
READ-IT: assessing readability of Italian texts with a view to text simplification
SLPAT '11 Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies
ERNESTA: a sentence simplification tool for children's stories in italian
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
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Although many approaches have been presented to compute and predict readability of documents in different languages, the information provided by readability systems often fail to show in a clear and understandable way how difficult a document is and which aspects contribute to content readability. We address this issue by presenting a system that, for a given document in Italian, provides not only a list of readability indices inspired by Coh-Metrix, but also a graphical representation of the difficulty of the text compared to the three levels of Italian compulsory education, namely elementary, middle and high-school level. We believe that this kind of representation makes readability assessment more intuitive, especially for educators who may not be familiar with readability predictions via supervised classification. In addition, we present the first available system for readability assessment of Italian inspired by Coh-Metrix.