This inspired us to ask the following question: Can we translate between a language pair which the system has never seen before? An example of this would be translations between Korean and Japanese where Korean⇄Japanese examples were not shown to the system. Impressively, the answer is yes — it can generate reasonable Korean⇄Japanese translations, even though it has never been taught to do so. We call this “zero-shot” translation, shown by the yellow dotted lines in the animation. To the best of our knowledge, this is the first time this type of transfer learning has worked in Machine Translation.

Because what they claim to do is really out there- it is something that not even humans can do. If they could actually do it then they would have solved machine translation for real.

And they haven't - like I say above, they seem to have misinterpreted a model of English-to-many (other languages) as an interlingua. And it's not even a very good model of English-to-many.

So the difference between hype and reality is astronomic and I feel very well justified to say what I say.