• BORADE KIRAN RAMKRISHNA
• Prof. N. M. Shahane

In this paper we proposed a novel method for English subordinate clause connective correction using NLP.New English learners make many grammatical mistakes in English subordinate clause connectives. It is not possible for checker to check each sentence for detecting and correcting connective errors. Hence for English subordinate clause connective error correction, an automatic error correction model is implemented. At first, syntactic and semantic features are extracted based on sentence context and then feature selection is done using metaheuristic algorithm and machine learning algorithm for classification. Technologies are combined and most fitted feature set is selected. This feature set is used by machine learning algorithm for classifying the connective. The proposed system is tested on Tatoeba dataset which is collection of sentences.

"English subordinate clause connective correction using NLP and hybrid model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.458-464, June 2019, Available :http://www.jetir.org/papers/JETIR1907H70.pdf

"English subordinate clause connective correction using NLP and hybrid model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp458-464, June 2019, Available at : http://www.jetir.org/papers/JETIR1907H70.pdf