Dispersion Measures as Predictors of Lexical Decision Time, Word Familiarity, and Lexical Complexity

Fuente: arXiv
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Autores principales: Nohejl, Adam, Watanabe, Taro
Formato: Preprint
Publicado: 2025
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author Nohejl, Adam
Watanabe, Taro
author_facet Nohejl, Adam
Watanabe, Taro
contents Various measures of dispersion have been proposed to paint a fuller picture of a word's distribution in a corpus, but only little has been done to validate them externally. We evaluate a wide range of dispersion measures as predictors of lexical decision time, word familiarity, and lexical complexity in five diverse languages. We find that the logarithm of range is not only a better predictor than log-frequency across all tasks and languages, but that it is also the most powerful additional variable to log-frequency, consistently outperforming the more complex dispersion measures. We discuss the effects of corpus part granularity and logarithmic transformation, shedding light on contradictory results of previous studies.
format Preprint
id arxiv_https___arxiv_org_abs_2501_06536
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Dispersion Measures as Predictors of Lexical Decision Time, Word Familiarity, and Lexical Complexity
Nohejl, Adam
Watanabe, Taro
Computation and Language
Various measures of dispersion have been proposed to paint a fuller picture of a word's distribution in a corpus, but only little has been done to validate them externally. We evaluate a wide range of dispersion measures as predictors of lexical decision time, word familiarity, and lexical complexity in five diverse languages. We find that the logarithm of range is not only a better predictor than log-frequency across all tasks and languages, but that it is also the most powerful additional variable to log-frequency, consistently outperforming the more complex dispersion measures. We discuss the effects of corpus part granularity and logarithmic transformation, shedding light on contradictory results of previous studies.
title Dispersion Measures as Predictors of Lexical Decision Time, Word Familiarity, and Lexical Complexity
topic Computation and Language
url https://arxiv.org/abs/2501.06536