Machine translation—is it good enough for customer support?
   In 1954, at the first public demonstration of a machine translation
   (MT) system, researchers from IBM declared that translation would be
   "One naturally wonders if the problem of translation could conceivably
   thinks that a machine translation can ever achieve elegance and style."
Translation requires more than a decoder ring
   messages. It raises the question: Why is translation so difficult?
   knowledge about the world and that is crucial for translation. As a
   language, and that is key in translation. Machines don’t have yet that
   language, and that is key in translation. -André Martins
   Translation" (NMT), which has rapidly become the new state-of-the-art
Machine + human translation in customer support
   at the mention of machine translation. But would you trust Google to
   human quality translation without grammar mistakes, typos, and
   mistranslations requires a human. And the tech giant is not alone in
   City University. Why? Because for neural machine translation to work we
   need human translations to feed into the systems and train them. Once
   produce better translations. And today you can’t do that with Google.
   Neural machine translation relies on human translations that feed into
   or even real-time chats using machine translation? Has the technology
   Pure machine translation systems lack the ability to adapt to different
   In short, pure machine translation systems lack the "human touch"
   quality assurance and post-editing by humans, ensures translations that
   Machine translation may not be at the end of its road, but it’s come a
   By itself, machine translation will always sound like a "better parrot"