A Study of Machine Translation Approaches for Gujarati to English Translation
Vedant Gandhi, Vaibhav Bharat Gandhi, Dhrumil Vinil Gala, Prachi Tawde
Abstract
In the world of computer research, machine translation is a hot topic. It is fundamental in NLP. Language translation is very important in India because it is a country with myriad languages. The aim of this paper is to look at several various types of machine translation techniques and see how they are used in different translation systems. We begin with some tried-and-true methods before moving on to more modern and hybrid ways that are still being perfected. We also compare these studies based on the following parameters such as the machine translation approaches used, the language pair taken into research and the papers key features. We then offer a language translation model using Hybrid Machine Translation systems to facilitate us in translating from Gujarati to English.