Machine Translation (MT) systems are now being improved with the use of an ongoing
methodology known as Neural Machine Translation (NMT). Natural language processing …

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 …

Neural Machine Translation (NMT) modelling for low-resourced languages is usually under-
explored lacking proper analysis in the pre-processing stages which could potentially …

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

Abstract Machine translation translates one natural language to another, a well-defined
natural language processing task. Neural machine translation (NMT) is a widely accepted …

Recent advancements in machine translation have made neural machine translation (NMT)
the preferred method over the previously popular statistical machine translation (SMT) …

In machine translation, corpus preparation is one of the crucial tasks, particularly for
lowresource pairs. In multilingual countries like India, machine translation plays a vital role …

A method known as Machine Translation (MT) is computer software to transform texts from
the source language into the target language, with the source language serving as the input …

Visibility and Presentation of goods for ease of buying and greater customer experience is
always a matter of great concern for supermarkets and malls. Smart Retail Rack Analytics, a …

Impressive results have been reported in various works related to low resource languages,
using Neural Machine Translation (NMT), where size of parallel dataset is relatively low …