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Stylene is a robust, modular system for stylometry and readability research on the basis of existing techniques for automatic text analysis and machine learning, and the development of a web service that allows researchers in the humanities and social sciences to analyze texts with this system.

In this way, the project will make available to researchers recent advances in research on the computational modeling of style and readability. The system was developed in a cooperation between the CLiPS (University of Antwerp) and LT3 (Ghent University) research groups.