Maximum entropy, word-frequency, Chinese characters, and multiple meanings.

ABSTRACT: The word-frequency distribution of a text written by an author is well accounted for by a maximum entropy distribution, the RGF (random group formation)-prediction. The RGF-distribution is completely determined by the a priori values of the total number of words in the text (M), the number of distinct words (N) and the number of repetitions of the most common word (k(max)). It is here shown that this maximum entropy prediction also describes a text written in Chinese characters. In particular it is shown that although the same Chinese text written in words and Chinese characters have quite differently shaped distributions, they are nevertheless both well predicted by their respective three a priori characteristic values. It is pointed out that this is analogous to the change in the shape o

SUBMITTER: Yan X 

PROVIDER: S-EPMC4425542 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature