Using Markov Chains for Identification of Writer

In this paper we present a technique for authorship attribution based on a simple Markov chain of letters, i.e. only letter bigrams are used. Many proposed methods of authorship attribution are illustrated on small examples. We show that this technique provides excellent results when applied to over 380 texts from the Project Gutenberg archives, as well as to two previously published datasets.