This paper presents the results of the premier shared task organized alongside the
Conference on Machine Translation (WMT) 2019. Participants were asked to build machine …

We present a survey covering the state of the art in low-resource machine translation (MT)
research. There are currently around 7,000 languages spoken in the world and almost all …

This paper presents the results of the news translation task, the multilingual low-resource
translation for Indo-European languages, the triangular translation task, and the automatic …

In today's world where an individual is becoming more and more busy and independent, the
use of recommendation-based systems is steadily increasing. Thus, making available …

Abstract Unsupervised Machine Translation (MT) model, which has the ability to perform MT
without parallel sentences using comparable corpora, is becoming a promising approach for …

The neural machine translation approach has gained popularity in machine translation
because of its context analysing ability and its handling of long-term dependency issues. We …

Neural machine translation handles sequential data over the variable length of input and
output sentences and accomplishes a state-of-the-art method for the task of machine …

Abstract Machine translation performs automatic translation from one natural language to
another. Neural machine translation attains a state-of-the-art approach in machine …

Machine translation is one of the most powerful natural language processing applications for
preserving and upgrading low-resource language. Mizo language is considered as low …

Neural Machine Translation (NMT) is widely employed for language translation tasks
because it performs better than the conventional statistical and phrase-based approaches …