English To Hindi Translator Using Seq2seq Model

Research in Machine Translation has been going on since the 1950's. It began in the United States. Since then, we have come a long way in this field of research. Various algorithms have been derived and tested to fulfill the requirements for an ideal translation machine which functions in all the languages which are spread throughout the world. Any machine translation system's success depends on a solid translation algorithm. If there is a large quantity of space available, decoding will be sluggish, which is undesirable. There is a trade-off between the precision of the translation and the speed with which it is decoded. Basically, what the machine learning-based approach proposed does is to identify the input words and categorize them under a few metrics after which they are translated and rearranged to form the output. We then present the output in the desired language.