Аннотация:This paper deals with automatic induction and prediction of morphological paradigms for Russian. We apply a method of longest common subsequence to extract abstract paradigms from inflectional tables. Then we experiment with the automatic detection of paradigms using a linear classifier with lexeme suffixes and prefixes as features. We show that Russian noun paradigms could be automatically detected with 77% accuracy per paradigm and 93% accuracy per word form, for Russian verbs per-paradigm accuracy reaches 76% and per-form accuracy is 89%. Usage of corpora information and character n-grams allows to improve these results up to 82% and 95% for nouns and 86% and 95% for verbs.