Machine translation technology, while advanced, is still evolving. The software analyzes complex language patterns, grammar, semantics, and cultural context to provide translations. Current neural machine translation systems capture sentence context better than previous versions, but may not perfectly understand idioms, cultural nuances, or complex linguistic structures. Regular updates continue to improve accuracy.