Neural machine translation

Neural Machine Translation (NMT) is an advanced technology that uses artificial neural networks—computers modeled after the human brain—to automatically convert text from one language to another. It works by analyzing large amounts of bilingual data, learning patterns and relationships between words and phrases. When translating, NMT considers the context of entire sentences rather than just isolated words, producing more accurate and natural translations. This approach improves over traditional methods by handling complex language nuances, making communication across different languages faster, more reliable, and closer to how humans understand and produce language.