A Review on Machine Translation Models and Challenges and Issues Faced

Language plays a major role in the world economy and businesses and the need for language translation is highly demanding. Due to a growth in the interchange of information across various regions utilizing distinct regional languages, the demand for translation has increased in recent years. In today’s modern and increasingly globalized society, translation has become critical. Machine translation is a great resource for both corporations and people. While machine translation is unlikely to completely replace humans in any industry where quality is critical, a rising number of examples demonstrate how effective and beneficial it can be. Machine translation can be used in conjunction with human proofreaders and post-editors or on its own. Machine translation has been one of the most widely used applications of modern deep learning techniques, making language translation both simple and accurate. This article presents a review of machine translation models and investigates the issues and challenges faced and the applications of machine translation.