Machine Translation is a crucial task of Natural Language Processing, as it aims to provide a
fast and automatic way of translating various types of texts. In recent years, the emergence of …

Machine translation (MT) is an important task in natural language processing (NLP), as it
automates the translation process and reduces the reliance on human translators. With the …

The need for accurate and effective translation cannot be overstated in an increasingly
globalised world where communication is paramount. Bridging language barriers is …

Neural machine translation has been widely adopted in modern machine translation as it
brings the state-of-the-art performance to large-scale parallel corpora. For real-world …

After more than a decade of phrase-based systems dominating the scene of machine
translation, neural machine translation has emerged as the new machine translation …

Machine translation—the automatic transformation of one natural language (source
language) into another (target language) through computational means—occupies a central …

Today, access to the Internet provides access to various forms of knowledge like free online
lecture series offered by prestigious universities, massive open online courses, films and …

We aim to shed light on the strengths and weaknesses of the newly introduced neural
machine translation paradigm. To that end, we conduct a multifaceted evaluation in which …

Machine translation (MT) as a field of research has known significant advances in recent
years, with the increased interest for neural machine translation (NMT). By combining deep …

Abstract Neural Machine Translation (NMT) is a deep learning based approach that has
achieved outstanding results lately in the translation community. The performance of NMT …