In recent years, neural network-based machine translation (MT) approaches have steadily
superseded the statistical MT (SMT) methods, and represents the current state-of-the-art in …

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 …

Machine Translation is an effort to bridge language barriers and misinterpretations, making
communication more convenient through the automatic translation of languages. The quality …

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 …

Natural language processing (NLP) systems are now ubiquitous. Yet the benefits of these
language technologies do not accrue evenly to all users, and indeed they can be harmful; …

Previous works trained the Transformer and its variants end-to-end and achieved
remarkable translation performance when there are huge parallel sentences available …

This paper marks a significant step forward in language technology for low-resource
languages by develo** the first parallel corpus for the Kashmiri language, which …

Research in machine translation (MT) is develo** at a rapid pace. However, most work in
the community has focused on languages where large amounts of digital resources are …

Abstract Language translation is essential to bring the world closer and plays a significant
part in building a community among people of different linguistic backgrounds. Machine …

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 …