Machine Translation is the process of converting one natural language into another through the use of computer-assisted translation. The fundamental goal is to bridge the linguistic gap that exists between two distinct languages speaking people, communities, or countries. India is a multilingual country, with different territorial languages spoken in different parts of the country. However, not all Indians are polyglots. There are 18 constitutional languages and ten widely used scripts in the world. The majority of the Indians, particularly the peasants in distant areas, do not understand, read, or write English, making the use of an efficient language translator necessary and desirable. Machine translation systems that translate content from one language to another will contribute to the advancement of the enlightened civilization of Indians, regardless of their native tongue. Despite the fact that Marathi is the most widely spoken language in the state of Maharashtra, Ahirani is also extensively spoken. Taking advantage of the fact that English is a universal language and that Ahirani is the language spoken by the vast majority of Khandeshi people, we present a proposal for an English to Ahirani machine translation system using Recurrent neural networks (RNN).

Indian Languages, Machine Translation, Natural Language Processing, Lexical Analysis, Computational Linguistics, Rule Based Translation