  The first morphological learner based upon the theory of Whole Word
Morphology Ford et al. (1997) is outlined, and preliminary evaluation results
are presented. The program, Whole Word Morphologizer, takes a POS-tagged
lexicon as input, induces morphological relationships without attempting to
discover or identify morphemes, and is then able to generate new words beyond
the learning sample. The accuracy (precision) of the generated new words is as
high as 80% using the pure Whole Word theory, and 92% after a post-hoc
adjustment is added to the routine.
