CzeSL – an error tagged corpus of Czech as a second language

Using an error-annotated learner corpus as the basis, the goal of this paper is two-fold: (i) to evaluate the practicality of the annotation scheme by computing inter-annotator agreement on a non-trivial sample of data, and (ii) to find out whether the application of automated linguistic annotation tools (taggers, spell checkers and grammar checkers) on the learner text is viable as a substitute for manual annotation.