Unsupervised Learning of Morphology for English and Inuktitut 
 We describe a simple unsupervised technique for learning morphology by identifying hubs in an automaton . For our purposes, a hub is a node in a graph with in-degree greater than one and out-degree greater than one. We create a word-trie , transform it into a minimal DFA , then identify hubs . Those hubs mark the boundary between root and suffix , achieving similar performance to more complex mixtures of techniques. 