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.
