Developing a Hybrid Approach for English Grammar Checker

Abstract

English becomes an essential language for communication all over the world. As English is a universal language, most of the researchers are concentrated on the development of English language. We propose an approach that develops a grammar checker for English as a second language (ESL) and introduce statistical and rule based approach to detect grammatical errors in sentences. In order to complete English grammar checking, we need to take three main functions such as detecting the sentence rule, analyzing the chunks errors and correcting the grammatical sentence. In this paper, we have presented a hybrid approach that uses context free grammar based bottom up parsing, trigram based markov model and rule based model. The proposed system is concerned with the target language generation to solve distortion, deficiency and make smooth the translated English sentences.