Machine Translation

Machine translation systems use various approaches including statistical methods and neural networks to translate between languages. Modern systems use sequence-to-sequence models with attention mechanisms to maintain context and meaning across languages, often achieving near-human-level translation quality.

International business communication, website localization, real-time translation services, cross-language information retrieval