English

Information content versus word length in random typing

Data Analysis, Statistics and Probability 2019-12-11 v1 Statistical Mechanics Computation and Language

Abstract

Recently, it has been claimed that a linear relationship between a measure of information content and word length is expected from word length optimization and it has been shown that this linearity is supported by a strong correlation between information content and word length in many languages (Piantadosi et al. 2011, PNAS 108, 3825-3826). Here, we study in detail some connections between this measure and standard information theory. The relationship between the measure and word length is studied for the popular random typing process where a text is constructed by pressing keys at random from a keyboard containing letters and a space behaving as a word delimiter. Although this random process does not optimize word lengths according to information content, it exhibits a linear relationship between information content and word length. The exact slope and intercept are presented for three major variants of the random typing process. A strong correlation between information content and word length can simply arise from the units making a word (e.g., letters) and not necessarily from the interplay between a word and its context as proposed by Piantadosi et al. In itself, the linear relation does not entail the results of any optimization process.

Keywords

Cite

@article{arxiv.1209.1751,
  title  = {Information content versus word length in random typing},
  author = {Ramon Ferrer-i-Cancho and Fermín Moscoso del Prado Martín},
  journal= {arXiv preprint arXiv:1209.1751},
  year   = {2019}
}
R2 v1 2026-06-21T22:01:59.024Z