This blog post introduces to the latest advancement in machine translation: Neural Machine Translation (NMT). It uses deep learning through neural networks to improve translation accuracy and context-awareness, replacing older statistical models and becoming in 2017 the de-facto standard due to its superior performance.

This blog explores the evolving field of natural language processing and artificial intelligence, focusing on the intersection of language and computer science. It discusses the history of key technologies from early multilingual translation devices to cutting-edge neural networks, setting the stage for deeper dives into state-of-the-art methods and research.