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NLP & Language ModelsLogistic Regression2606.09543

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

Dmitry Pronin, Evgeny Kazartsev

cs.CL

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.

Topics

Classified with taxonomy v2 on Wed, 2 Sept 2026.

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