1. A method for generating a teaching data set comprising the steps of: receiving a first set of ink input from a plurality of ink sources, at least one of the ink sources being selected from the group consisting of implicit field data, scripted untruthed ink, scripted truthed ink, and ink from at least one other language of a same script as a target language for a handwriting recognizer; and using the first set of ink input with a plurality of machine learning methods to generate a first teaching ink data set for use by a handwriting trainer to produce the handwriting recognizer for the target language.