What makes this really interesting is that all this is achieved with very little or no "AI" (in the context of current machine learning approaches). Purely heuristics based approach to something as complex.
There is weired tendency to use AI for well-understood problems that have formulas and solutions.
And then there's where it takes off. There isn't a single human that can come anywhere close to the language knowledge base AI algorithms can build up. Even a team of 100 humans would not have the breadth of languages algorithms have these days. Yes, context understanding humans still have the edge, but it's shrinking every day. But so many language aspects, from translation to grammar, machines outperform all but the very best humans, and 99.9% of all humans even within one language.