In this paper we address the problem of lexicon construction by constructing a semi-supervised system that accepts concrete inflection tables as input, generalizes inflection paradigms from the tables provided, and subsequently allows the use of unannotated corpora to expand the inflection tables and the automatically generated paradigms.
1 to many machine learning approaches that address the problem of paradigm extraction, the current method is intended to produce human-readable output of its generalizations.