Affiliation:
1. School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India
Abstract
In a digital realm, language diversity remains a significant hurdle to effective global communication, impacting approximately 60% of internet users worldwide. The aim is to promote inclusive conversation and overcome the language barrier in the online world where people from various backgrounds work together. The chapter revolves an NMT model, a transformer-based architecture for translation which facilitates real time translations and contextually aware along with a fine-tuned front end chat room specifically crafted for the users by providing multiple well-known languages with smooth translation so that communication remains fluid and accurate which can significantly improve the online community. Introduced digital twin technologies into this which is a concept that digitally mirrors real world and process this digital twin analysis focuses on user side preferences, inputs, and contextual meanings. The outcome of the study holds the promise of forever changing the structure of digital communication between multiple languages which will turn in an evolving online world.
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