Abstract The field of Natural Language Processing (NLP) has experienced remarkable
advancements in recent years, significantly enhancing the capabilities of language …

Abstract Neural Machine Translation (NMT) has revolutionized the field of language
translation by leveraging deep learning architectures to produce more fluent and accurate …

This paper explores recent innovations in MT, focusing on advancements aimed at
enhancing the accuracy, fluency, and contextuality of translations. The abstract begins by …

Abstract Natural Language Processing (NLP) has made significant strides with deep
learning, but high-resource languages dominate research, leaving gaps for lowresource …

This thesis aims to address major concerns created by the rapid pace of development in
natural language processing (NLP). Developments to state-of-the-art in NLP have been …

In the current machine translation (MT) landscape, the Transformer architecture stands out
as the gold standard, especially for high-resource language pairs. This research delves into …

Artificial-intelligence-powered neural machine translation might soon resuscitate
endangered languages by empowering new speakers to communicate in real time using …

This work explores the technical advancements in artificial intelligence (AI) for translation,
with a focus on neural machine translation (NMT) and large language models (LLMs) as …

The translation industry, a timeless bridge that connects languages and cultures, has found
itself at a pivotal juncture in the age of technology. In this era of global communication and …

The research paper delves into the realm of “Attention-Based Neural Machine Translation
for Multilingual Communication”, focusing on the revolutionary impact of attention …