Disputed Authorship Resolution through Using Relative Empirical Entropy for Markov Chains of Letters in Human Language Texts
D. Khmelev · Journal of Quantitative Linguistics · 2000
The problem of disputed authorship resolution is solved here by the formal analysis of texts. The method of the analysis is based on the Markov Model for the sequence of letters in text. We assume that the frequencies of letter pairs are very specific for an author. This assumption is checked in the large statistical experiment which was carried out for 386 text samples (stories, novels, and their combination) from stories and novels of 82 Russian fiction writers.