Hinglish to English Machine Translation using Multilingual Transformers

Abstract

Code-Mixed language plays a very important role in communication in multilingual societies and with the recent increase in internet users especially in multilingual societies, the usage of such mixed language has also increased. However, the cross translation between the Hinglish Code-Mixed and English and vice-versa has not been explored very extensively. With the recent success of large pretrained language models, we explore the possibility of using multilingual pretrained transformers like mBART and mT5 for exploring one such task of code-mixed Hinglish to English machine translation. Further, we compare our approach with the only baseline over the PHINC dataset and report a significant jump from 15.3 to 29.5 in BLEU scores, a 92.8% improvement over the same dataset.