Machine Translation of Vedic Sanskrit using Deep Learning Algorithm
Mrinal Pandey, Rashmikiran Pandey, Alexey Nikolaevich Nazarov · 2022
Machine Translation using deep learning is a big leap in the arena of automatic translations. In this paper we have proposed a neural translation method for end-to-end translation. The model is designed by using the 3 encoder and 3 decoder layers of gated Recurrent Neural Networks followed by the dense layer. We have also improved the translation by reversing the words from the source language using the Bi-Directional GRU. The output of translation from source language to target language achieves a significantly better BLUE and WRE score as compared to existing rule based translation.