Affiliation:
1. JSPM’S Rajarshi Shahu College of Engineering, Pune, Maharashtra, India
Abstract
In a diverse country like India where most of the people are multilingual the use of the pure language is decreasing. Interpretation of such mixed language becomes easy for human but complex for machine. There are many machine learning models which are trained for pure language translation but there is a research gap in the field of code-mixed language translation. In order to bridge this gap, the paper presents a model which uses Hinglish as a standalone language to be translated into English. In this paper, we have discussed the algorithm, technique and limitation of our system.