Proper Interpretation of Heaps' and Zipf's Laws

Fuente: arXiv
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Autore principale: Chol-jun, Kim
Natura: Preprint
Pubblicazione: 2023
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author Chol-jun, Kim
author_facet Chol-jun, Kim
contents We checked that the distribution of words in text should uniform, which gives Heaps' law as natural result, that is, the number of types of words can be expressed as a power law of the number of tokens within text. We developed a ``superposition'' model, which leads to an asymptotic power-law distribution of the number of occurrences (or frequency) of words, that is, Zipf's law. The model is well consistent with observations.
format Preprint
id arxiv_https___arxiv_org_abs_2305_15413
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Proper Interpretation of Heaps' and Zipf's Laws
Chol-jun, Kim
Physics and Society
We checked that the distribution of words in text should uniform, which gives Heaps' law as natural result, that is, the number of types of words can be expressed as a power law of the number of tokens within text. We developed a ``superposition'' model, which leads to an asymptotic power-law distribution of the number of occurrences (or frequency) of words, that is, Zipf's law. The model is well consistent with observations.
title Proper Interpretation of Heaps' and Zipf's Laws
topic Physics and Society
url https://arxiv.org/abs/2305.15413