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A Model for Function Word Counts

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  • B. J. R. Bailey

Abstract

Researchers in linguistics have considered an author's use of function words, or context‐free words, as providing one measure of his style. The number of occurrences of a single word, such as ‘and‘, or an uncommon group of words, in a fixed sample of n words, can often be modelled by a binomial distribution. However, this model sometimes breaks down for more common groups of words, such as all the articles, a group of pronouns etc. For such cases, a more realistic model is presented and analysed, based on a simple Markov chain model of English usage.

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  • B. J. R. Bailey, 1990. "A Model for Function Word Counts," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 39(1), pages 107-114, March.
    • Handle: RePEc:bla:jorssc:v:39:y:1990:i:1:p:107-114
    DOI: 10.2307/2347816
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    Cited by:

    1. Kimberly F. Sellers & Andrew W. Swift & Kimberly S. Weems, 2017. "A flexible distribution class for count data," Journal of Statistical Distributions and Applications, Springer, vol. 4(1), pages 1-21, December.
    2. Borges, Patrick & Rodrigues, Josemar & Balakrishnan, Narayanaswamy & Bazán, Jorge, 2014. "A COM–Poisson type generalization of the binomial distribution and its properties and applications," Statistics & Probability Letters, Elsevier, vol. 87(C), pages 158-166.

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