Textual and stylistic error detection and correction: Categorization, annotation and correction strategies

In this paper we present an analysis of the most frequently encountered style and text structure errors produced by a variety of types of authors when producing texts. We then show how such errors can be annotated together with their correction(s). From these annotations, via generalizations, correction rules can be induced. Since correcting errors is a complex process, with several solutions and possibilities, we finally show how an argumentation system can be used so that the user can get arguments for or against a certain correction.