Objectives: To provide approaches for effective Hindi-to-English Machine Translation (MT) that can be helpful in inexpensive and ease implementation of and MT systems. Methods/Statistical Analysis: Structure of the Hindi and English languages have been studied thoroughly. The possible steps towards the Natural languages have also been studied. The methods, rules, approaches, tools, resources etc. related to MT have been discussed in detail. Findings: MT is an idea for automatic translation of a language. India is the country with full of diversity in culture and languages. More than 20 regional languages are spoken along with several dialects. Hindi is a widely spoken language in all the states of country. A lot of literature, poetries and valuable texts are available in Hindi which gives opportunities to retranslate into English. However, new generation is learning English rapidly and also showing keenness to learn it in simplified lucid manner. Several efforts have been made in this direction. A large number of approaches and solutions exist for MT still there is a huge scope. The paper addresses the challenges of MT and solution efforts made in this direction. This motivates researchers to implement new Hindi-to-English Machine translation systems. Application/Improvements: Efficient, inexpensive and ease translation for available Hindi literature, poetries and other valuable texts into English. Children can easily learn the culture through the poetries and literatures hence the Machine Translation of these will bring wonderful impact.

Keywords: Machine Translation (MT); machine learning; Hindi-to-English