Automatic error detection in second language learner's writing
Julia S. Trushkina · Language Matters · 2006
This article presents a system designed for automatic detection of errors in second language learner's writing. The system contains two modules, one aimed at detecting and correcting of spelling errors, and a second module providing a broad detection of higher level language errors. The article describes extensions to existing error detection algorithms and introduces a novel method of context-based ranking of spelling correction candidates based on probabilistic context-free grammars. The performance of the system is evaluated on real data with manually marked and classified errors.