• Pulkit Kasera

In this paper we are talking about the working of our framework can decipher English language's straightforward sentences into Hindi. This framework has been executed utilizing feed-forward backpropagation fake neural system. ANN model does structure and Hindi words/tokens, (for example, action word, thing/pronoun and so on.). Neural organize is as the information base and for mapping process bilingual word reference and phonetic guidelines. Bilingual word reference is actualized utilizing neural arrange, stores the importance and semantic highlights connected to the word of English and Hindi. The change of one common language sentence structure to other regular language is the center of the machine interpretation explicitly when the dialects have diverse linguistic class English and Hindi. Linguistic Structure examination is finished with the assistance of Stanford Tagger and Stanford Parser. The created module can decipher basic sentence of English language. The assessment score accomplished by the framework for around 500 test sentences is: n-gram blue score 0.604;METEOR score accomplished is 0.830 and F-score of 0.816. machine understanding system in figure 1. Structure contains nine modules which are sentence separator and pressure clearing module, parser and tagger module, data extraction module, language structure and sentence structure examination module, ANN and rule based sentence structure mapping module, ANN based word mapping module, sentence age module, rule based phonetic structure development and case stepping module and ANN module. Right when a customer enters a couple content for understanding, content being deciphered encounters the following process.

"A Neural Network based Approach for English to Hindi Machine Translation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.317-323, June 2019, Available :http://www.jetir.org/papers/JETIR1908988.pdf

"A Neural Network based Approach for English to Hindi Machine Translation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp317-323, June 2019, Available at : http://www.jetir.org/papers/JETIR1908988.pdf