A Probabilistic Model for Learning Concatenative Morphology
Snover, Matthew G., Brent, Michael R.
–Neural Information Processing Systems
This paper describes a system for the unsupervised learning of morphological suffixesand stems from word lists. The system is composed of a generative probability model and hill-climbing and directed search algorithms. Byextracting and examining morphologically rich subsets of an input lexicon, the directed search identifies highly productive paradigms.
Neural Information Processing Systems
Dec-31-2003