A Bayesian model for morpheme and paradigm identification

Abstract

This paper describes a system for unsupervised learning of morphological affixes from texts or word lists. The system is composed of a generative probability model and a search algorithm. Experiments on the Wall Street Journal and the Hansard Corpus ...