Extract reordering rules of sentence structure using neuro-fuzzy machine learning system

Recent development and enhancement in the field of soft computing which is the cutting edge of Neural network and fuzzy logic. Here by we are proposing a solution using Deep Neural Network (DNN) and Fuzzy logics for Natural Language Processing (NLP) with is the sub part of Artificial Intelligence (AI). If we look India we have 22 constitutional human languages and in the world around 6909 living human languages. Building cross Machine Translation (MT) system using these all language which currently not possible because of lack of resources, knowledge and etc. If we have huge corpus of source and target language this propose system will automatically find out the grammatical structure of source sentence matching with the target language using Neural network and fuzzy logic and it is flexible machine learning technique it deals with uncertainly or vagueness existing in a system and formulating fuzzy rules to find grammar structure to a given new sentences.