It's brilliant, but horrible, since you need somewhere between 300 and 1000 dimensions of floating point word vector semantic space to get good separation. Mayb

It's brilliant, but horrible, since you need somewhere between 300 and 1000 dimensions of floating point word vector semantic space to get good separation. Maybe it's shrunk since I last checked. Even with less granularity, that's still like 256 bytes per grapheme. I think this would be great for machine translation though.