• Anshul Agrawal

With the borderless boundaries, many people work or communicate with people from different country who speak different language. And because of this language barrier the information is not delivered properly or not received the correct rational. The best possible solution is that people must be multilingual, but this is not a feasible solution. And to help these people now days we have several language translation systems available. This paper proposes Sequence-to-Sequence translation models. A typical Seq2Seq models consists of an encoder and a decoder which are themselves two separate neural networks combined into a single giant network.

Language Translator, Machine Translation, French to English translation

"Language Translator using Machine Translation with Attention Mechanism", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 10, page no.c431-c435, October-2022, Available :http://www.jetir.org/papers/JETIR2210254.pdf

"Language Translator using Machine Translation with Attention Mechanism", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 10, page no. ppc431-c435, October-2022, Available at : http://www.jetir.org/papers/JETIR2210254.pdf