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arXiv Computation and Language By Dmitry Pronin, Evgeny Kazartsev

Rank-Turbulence Delta and Interpretable Approaches to Stylometric Delta Metrics

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The article introduces two new authorship attribution metrics, Rank‑Turbulence Delta and Jensen‑Shannon Delta, which extend Burrows’s classical Delta by using distance functions suited to probabilistic distributions. It explains the theoretical foundations, contrasts centred versus uncentred z‑scoring, and presents a token‑level decomposition that makes each Delta distance numerically interpretable. The methods are evaluated on four multilingual literary corpora, showing that Rank‑Turbulence Delta matches Cosine Delta in accuracy while Jensen‑Shannon Delta often outperforms the traditional Delta, and the study also reassesses existing attribution algorithms on a large Russian benchmark.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computation and Language.

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