2003/03/21 by Dmitri Volchenkov, Volchenkov, Dmitri, Philippe Blanchard +3
Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #cond-mat.dis-nn
paper · pdf · doi:10.48550/arxiv.cond-mat/0303454
RevTex, 4 pages, 2 figures
arxiv created 2003/03/21 · arxiv updated 2009/11/30
We present the new empirical parameter fc, the most probable usage frequency of a word in a language, computed via the distribution of documents over frequency x of the word. This parameter allows for filtering the core lexicon of a language from the content words, which tend to be extremely frequent in some texts written in specific genres or by certain authors. Distributions of documents over frequencies for such words display long tails as x>fc representing a bunch of documents in which such words are used in abundance. Collections of such documents exhibit a percolation like phase transition as the coarse grain of frequency Δf (flattening out the strongly irregular frequency data series) approaches the critical value fc.