Transformations in Machine Translation

The field of machine translation has undergone remarkable transformations since its inception, evolving from basic rule-based systems to today’s cutting-edge neural networks. Early machine translation faced significant challenges in handling the complex nature of language, particularly the absence of perfect word-to-word equivalence between different languages and the vast variations in sentence structures. These initial rule-based …

Neural Machine Translation and Sentence Structure

Neural Machine Translation: What Translators Need to Know In an age where communication is instantaneous and global, the need for fast and accurate translation is more pressing than ever. Enter Neural Machine Translation (NMT) – an advanced branch of Natural Language Processing (NLP) that’s revolutionising how we bridge language gaps. But what does this mean …