Word frequency–rank relationship in tagged texts

Andrés Chacoma and Damián H. Zanette

Physica A: Statistical Mechanics and its Applications, 2021, vol. 574, issue C

Abstract: We analyze the frequency–rank relationship in sub-vocabularies corresponding to three different grammatical classes (nouns, verbs, and others) in a collection of literary works in English, whose words have been automatically tagged according to their grammatical role. Comparing with a null hypothesis which assumes that words belonging to each class are uniformly distributed across the frequency–ranked vocabulary of the whole work, we disclose statistically significant differences between the three classes. This results point to the fact that frequency–rank relationships may reflect linguistic features associated with grammatical function.

Keywords: Frequency–rank statistics; Grammatical function; Linguistic regularities; Language processing; Quantitative linguistics (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:574:y:2021:i:c:s0378437121002922

DOI: 10.1016/j.physa.2021.126020

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