ENGLISH TO SANSKRIT TRANSLATION USING NMT

Sanskrit is one of the most seasoned languages of the Asian Key that fell out of common application around 600B.C. In this paper, we venture to interpret English to Sanskrit exercising Neural Machine restatement. Machine restatement helps in enforcing for breaking the language hedge. So, that humans can revise information. There are multitudinous languages spoken throughout the world. English is a language that's used worldwide, while Sanskrit is a language that's extensively accepted not only in India but also in the rest of the world. Then, We suggest creating a motor that uses neural machine translation to translate English statements into Sanskrit statements. Indian Sanskrit is a 3500-year-old language.. Unless Sanskrit is vulgarized in India, it's likely to come a neglected language in its own country. important of India's stylish literature was written in Sanskrit. In this composition, an attempt is made to make Sanskrit textbooks accessible to people by rephrasing them into English and transferring these documents to the digital terrain. The end of the design is to give a way for Sanskrit textbook recognition and restatement using machine literacy. Optic al character recognition plays an important part in relating this information. In this paper, comparison of colorful ways used to fete Devanagari characters is made to fete the Sanskrit script using machine literacy. After final evaluation, we proposed a system to fete Sanskrit characters using neural networks, which provides excellent results in character recognition. It helps give restatements of Sanskrit textbooks that give better access to ancient Indian knowledge or literature.