English

Rank-frequency relation for Chinese characters

Computation and Language 2014-03-10 v2 Data Analysis, Statistics and Probability

Abstract

We show that the Zipf's law for Chinese characters perfectly holds for sufficiently short texts (few thousand different characters). The scenario of its validity is similar to the Zipf's law for words in short English texts. For long Chinese texts (or for mixtures of short Chinese texts), rank-frequency relations for Chinese characters display a two-layer, hierarchic structure that combines a Zipfian power-law regime for frequent characters (first layer) with an exponential-like regime for less frequent characters (second layer). For these two layers we provide different (though related) theoretical descriptions that include the range of low-frequency characters (hapax legomena). The comparative analysis of rank-frequency relations for Chinese characters versus English words illustrates the extent to which the characters play for Chinese writers the same role as the words for those writing within alphabetical systems.

Keywords

Cite

@article{arxiv.1309.1536,
  title  = {Rank-frequency relation for Chinese characters},
  author = {W. B. Deng and A. E. Allahverdyan and B. Li and Q. A. Wang},
  journal= {arXiv preprint arXiv:1309.1536},
  year   = {2014}
}

Comments

To appear in European Physical Journal B (EPJ B), 2014 (22 pages, 7 figures)

R2 v1 2026-06-22T01:21:54.277Z