In recent information explosion, contents in internet are multilingual and majority will be in
the form of natural languages. Processing of these natural languages for various language …

With the invention of deep learning concepts, Machine Translation (MT) migrated towards
Neural Machine Translation (NMT) architectures, eventually from Statistical Machine …

A huge amount of valuable resources is available on the web in English, which are often
translated into local languages to facilitate knowledge sharing among local people who are …

In this paper we explore neural machine translation (NMT) for Indian languages. Reported
work on Indian language Statistical Machine Translation (SMT) demonstrated good …

Machine translation (MT) systems have been built using numerous different techniques for
bridging the language barriers. These techniques are broadly categorized into approaches …

A large number of significant assets are available online in English, which is frequently
translated into native languages to ease the information sharing among local people who …

With the advancement in computer language technology in a multilingual country like India,
numerous linguistics require technology for translation. It aids in research for ancient …

Hindi is the national language of India. However, most of the Government records,
resolutions, news, etc. are documented in English which remote villagers may not …

Neural Machine Translation (NMT) has provided promising results in the field of machine
translation in recent times. As compared to the previously used rule-based methods or …

In this paper, to improve the translation quality of a sentence, Convolutional sequence to
sequence architecture has been applied to English-Punjabi, Punjabi-English, Hindi-Punjabi …