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Neural Machine Translation (NMT) has provided promising results in the field of machine translation in recent times. As compared to the previously used rule-based methods or Statistical Machine Translation (SMT), NMT outperforms SMT in quite a few linguist categories. In this paper, we analyze various models, approaches and frameworks used in NMT to find an efficient method to create a translation system and to achieve accurate translation between Indian languages and English.
Basmatkar et al. (Fri,) studied this question.