The task of finding a criterion allowing to distinguish a text from an arbitrary set of words is rather relevant in itself, for instance, in the aspect of development of means for internet-content indexing or separating signals and noise in communication channels. The Zipf law is currently considered to be the most reliable criterion of this kind [3]. At any rate, conventional stochastic word sets do not meet this law. The present paper deals with one of possible criteria based on the determination of the degree of data compression.
@article{arxiv.0710.0225,
title = {On the role of autocorrelations in texts},
author = {D. V. Lande and A. A. Snarskii},
journal= {arXiv preprint arXiv:0710.0225},
year = {2007}
}