Abstract Transforming Mandarin Braille to Chinese text is a significant but less focused
machine translation task. CBHG is a building block used in the Tacotron text-to-speech …

Machine translation (MT) is an emerging research as well as application area in the
contemporary world. It is receiving significant attention from academia, industry and …

Over the years, Machine Translation in English to Punjabi has seen significant
advancements. The study emphasizes Punjabi's unique linguistic complexities, which pose …

This research investigates challenges and advancements in neural machine translation
(NMT), specifically targeting English-to-Kannada translation. Emphasizing the scarcity of …

There is a huge demand for machine translation to design automated auto-encoders that
can convert English to the Telugu language. Neural machine translation (NMT) is a new and …

Abstract Machine translation models have increased since the introduction of neural
machine translation (NMT). However, no research has concentrated on languages with …

Transformer‐based models have gained significant advances in neural machine translation
(NMT). The main component of the transformer is the multihead attention layer. In theory …

English writing is considered by English learners to be the portion of English learning with
the greatest application, the most thorough understanding, and the most challenging …

With the increasing communication between countries, machine translation has become an
important way of communication between ethnic groups in different language systems. In …

A branch of natural language processing called neural machine translation (NMT) focuses
on using artificial neural networks for translating textual content in one language to another …