Publication

Abstract : Bhutan and India have enjoyed longstanding friendly relations, fostering significant travel between the two nations. However, linguistic differences often impede visitors' comprehension of cultural beliefs, particularly between Dzongkha, Bhutan's native language, and Hindi, widely spoken in India. This paper presents an innovative language translation solution leveraging Neural Machine Translation (NMT) models which is the first and only solution to overcome these barriers. The goal is to enrich tourists' experiences by providing comprehensive insights into the cultural intricacies of both countries. Through extensive testing, the proposed methodology achieves a promising BLEU score of 0.416, offering an effective means to bridge the linguistic gap and foster cross-cultural understanding.