Machine Translation (MT) refers to the process in which a computer system automatically translates text or speech from one language into another with minimal or no human intervention. It is an important branch of computational linguistics, artificial intelligence, and translation studies. In the context of *Anuvad Prakriya* (Translation Process), machine translation is viewed as a technological aid that facilitates multilingual communication, reduces translation time, and increases access to information across linguistic boundaries. Although it cannot completely replace human translators, it has become an essential tool in the modern digital world. The meaning of machine translation lies in the automation of the translation process through software, algorithms, and language models. The objective is to preserve the meaning, style, and communicative purpose of the source text while producing a grammatically and semantically acceptable target text. The development of machine translation began in the mid-twentieth century and has evolved from rule-based systems to advanced neural network-based systems capable of producing more fluent and context-sensitive translations. The nature of machine translation is multidisciplinary because it combines linguistics, computer science, artificial intelligence, and natural language processing. It analyzes the source language, identifies grammatical structures, lexical meanings, and contextual relationships, and then generates an equivalent expression in the target language. The translation process generally involves text