Maybe I missed it, but I don't think I saw any demonstration of correcting words that were typed with one fewer or one more letter than the intended word. The absence of tactile feedback when typing makes this a fairly common error -- anyone know if their algorithm is capable of handling it?
I wrote my own algorithm that parses through a dictionary of one-million words and phrases in real-time (even one iPad 1) and suggests the most probable word based on the letters you've typed and in context of the last 2-3 words you typed. This means, typing 'P' after 'HARRY' will suggest 'POTTER' instead of 'PUT', 'PICK' or other common words that start with 'P'. I haven't made my algorithm public yet but when I have some time, I intend to, especially if there is a demand for it.
