From Genes to Tokens: a GWAS-inspired Approach for Interpretable Stylometric Analysis

Dmitry Pronin, Evgeny Kazartsev
6/8/2026
cs.CL

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Abstract

This short paper introduces a stylometric interpretation method inspired by genome-wide association studies (GWAS). Each "gene" token's association with "phenotype" authorship is tested using logistic regression with multiple-comparison correction. Applied to English, German, and Russian corpora, the method detects statistically significant lexical markers distinctive of individual authors.

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Cite this paper

@article{pronin2026from,
  title  = {From Genes to Tokens: a GWAS-inspired Approach for Interpretable Stylometric Analysis},
  author = {Dmitry Pronin and Evgeny Kazartsev},
  year   = {2026},
  eprint = {2606.09543},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2606.09543v2}
}

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