Grammatical Error Checking Systems: A Review of Approaches and Emerging Directions

Abstract

Grammatical error checking is a process of detecting and sometimes correcting erroneous words in a text. Various approaches have been used for detecting and correcting text in numerous languages. Techniques that have been used include rule-based, syntax-based, statistical-based, classification and neural networks. This paper presents previous works of Grammatical Error Correction or Detection systems, challenges associated with these systems, and, finally, suggested future directions.