Researchers have used hybrid machine translation processes to address issues with traditional approaches. By combining rules-based machine translation with statistical methods, they’ve increased reliability and accuracy. Back then, hybrid machine translation referred to combining two or more machine translation approaches into one system.
However, innovators in the language and technology sectors have now assigned another definition to hybrid translation. Human translation + Machine translation.
What Is Hybrid Machine Translation?
Hybrid machine translation is a process that combines both human lithuania mobile database post-editing and machine translation methods, such as statistical generation and neural machine translation. This system creates one efficient workflow and accentuates the strengths of both machine translation and human translation.
Human-machine translation produces more accurate and nuanced results than either method could achieve on its own. Many leading companies are already using hybrid translation to expand their market reach to a global level. Experts around the world point to it as the future of translation.
Hybrid Translation, Speed & Awareness
Machine translation is much faster and more scalable than human translation. It can handle large volumes of text quickly and consistently, reducing your business costs. However, it cannot bring emotional, creative, or cultural awareness to translation.