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Abstract: This article provides a comprehensive study on the development of offline applications for English to Hindi translation. The project leverages the Moses statistical machine translation system to achieve the goal of seamless text-to-text translation between two languages without the need for online APIs. The report covers many aspects of the project, including methods for learning translation techniques and using dynamic programming to calculate the cheapest possible translation methods for foreign languages. Carefully consider the translation by analyzing the quoted words one after the other and estimating their value. Dynamic programming method to speed up visual interpretation. Additionally, the article underlines the problem statement and discusses how recent technological changes have changed translation. Translator software can now translate all documents with a single click at a low cost, a project that eliminates speech barriers and facilitates communication between lines
Gangwar et al. (Sun,) studied this question.