A Survey of Machine Translation Approaches for Konkani to English
K. M. Chaman Kumar, Shailendra Aswale, Pratiksha R. Shetgaonkar, Vijaykumar Naik Pawar, Deepmala Kale, Sweta Kamat · 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE) · 2020
Machine Translation is a popular field in computer science. It’s also a key part in the field of Natural Language Processing. Since India is a country where multiple languages are spoken there is a need for Language Translation. In this paper, we present a survey of several research works and the machine translation approaches mentioned in them. We begin with some well-established methodologies and further delve into more recent and hybrid techniques which are still in the state of improvement. We also compare these papers using several parameters such as the tools & technologies, datasets, advantages, disadvantages, and accuracy. We propose a machine translation model based on Statistical Machine Translation that will help us to translate from the Indian regional language Konkani to English and vice versa.