Macroscale Language Translations

This paper presents the findings of extensive research undertaken by Makers Lab, Tech Mahindra as part of its ambitious civilizational project called Indus. The primary objective of this research is to investigate and identify the most effective and efficient AI and NLP techniques for macro-scale language translations. The project encompassed the need for translation across diverse languages, with a specific emphasis on addressing the challenges involved in large-scale English to Hindi (Indic) translation. Throughout this paper, we delve into a comprehensive analysis of the available AI and NLP services and models, shedding light on the key factors that should be considered when selecting an appropriate model. Furthermore, we explore the intricacies of optimizing the translation process and model, with a focus on enhancing both the speed of inference and the quality of the output. This research serves as a crucial foundation for advancing the capabilities of AI and NLP technologies in the realm of macroscale language translation. <a href="https://medium.com/@pankaj21/macroscale-language-translations-24640ef55e2e">Read More</a>