A Review of Machine Translation Techniques and Proposal to Automatic Translation of Videos

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Shenbagaraj Ramachandran, Sailesh Iyer

Abstract

Translation of videos including propulsion technology videos has been one of the toughest jobs to do during the eLearning development process. We have tried it earlier by involving mostly manual work and found it to be tiresome. After the fast evolution of Machine learning and Natural language processing techniques, it is feasible now to do the translation involving and inculcating intelligent techniques in the process. We have reviewed the technologies and techniques and presenting it in this paper.

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