A Comparative Analysis of Automated Grammar Checking Techniques

Abstract

Grammar checking has been identified as an important application of Natural Language Processing. Development of automated grammar checking tools is gaining popularity among the researchers as well as among the commercial software developers. There are different techniques which are used for the development of the grammar checker of any language. These techniques include rule based technique, machine learning based technique and hybrid technique. This research article, presents the analysis of these techniques, their working methodology highlighting the benefits and the associated challenges. Our study also investigates over 30 research articles of grammar checking approaches in different languages. This will help our research community to analyze the evolution of the grammar checking task over the past few decades and take the further research and development decisions.