It's not very good, but I'd like to see if anyone can make a better one. It's a shame that shorthand is lost to time and mostly replaced by technology like audio recorders.
That's pretty cool. If one were inclined to take it to the next level of absurd awesomeness, one could employ machine learning:
1. Feed all the examples from the Gregg dictionary into a neural network.
2. Generate all the possible positionings for a word.
3. Have the trained NN pick the best one.
That said, I think doing the opposite conversion, from Gregg to English, would be marginally more useful (and a lot harder, I assume).
It's not very good, but I'd like to see if anyone can make a better one. It's a shame that shorthand is lost to time and mostly replaced by technology like audio recorders.