Vertex Degree Distribution for the Graph of Word Co-Occurrences in Russian

Degree distributions for word forms cooccurrences for large Russian text collections are obtained. Two power laws fit the distributions pretty good, thus supporting Dorogovtsev-Mendes model for Russian. Few different Russian text collections were studied, and statistical errors are shown to be negligible. The model exponents for Russian are found to differ from those for English, the difference probably being due to the difference in the collections structure. On the contrary, the estimated size of the supposed kernel lexicon appeared to be almost the same for the both languages, thus supporting the idea of importance of word forms for a perceptual lexicon of a human.