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This article introduces two new measures for authorship attribution - Rank-Turbulence Delta and Jensen-Shannon Delta - which generalise Burrows's classical Delta by applying distance functions designed for probabilistic distributions. We…

Computation and Language · Computer Science 2026-05-27 Dmitry Pronin , Evgeny Kazartsev

Burrows' Delta was introduced in 2002 and has proven to be an effective tool for author attribution. Despite the fact that these are different languages, they mostly belong to the same grammatical type and use the same graphic principle to…

Computation and Language · Computer Science 2024-07-12 Boris Orekhov

Research into the stylistic properties of translations is an issue which has received some attention in computational stylistics. Previous work by Rybicki (2006) on the distinguishing of character idiolects in the work of Polish author…

Computation and Language · Computer Science 2015-01-06 Gerard Lynch , Carl Vogel

We test whether authors have characteristic "fingerprints" in the information-theoretic novelty curves of their published works. Working with two corpora -- Books3 (52,796 books, 759 qualifying authors) and PG-19 (28,439 books, 1,821…

Computation and Language · Computer Science 2026-04-02 Fred Zimmerman , Hilmar AI

We show that large language models (LLMs) can be used to distinguish the writings of different authors. Specifically, an individual GPT-2 model, trained from scratch on the works of one author, will predict held-out text from that author…

Computation and Language · Computer Science 2025-10-28 Harrison F. Stropkay , Jiayi Chen , Mohammad J. Latifi , Daniel N. Rockmore , Jeremy R. Manning

While the indirect evidence suggests that already in the early scholastic period the literary production based on records of oral teaching (so-called reportationes) was not uncommon, there are very few sources commenting on the practice.…

Computation and Language · Computer Science 2025-08-19 Jan Maliszewski

Bibliometrics have become commonplace and widely used by authors and journals to monitor, to evaluate and to identify their readership in an ever-increasingly publishing scientific world. With this contribution, we aim to investigate the…

The frequency with which the letters of the English alphabet appear in writings has been applied to the field of cryptography, the development of keyboard mechanics, and the study of linguistics. We expanded on the statistical analysis of…

Information Theory · Computer Science 2024-01-30 Neil Zhao , Diana Zheng

Recently long range correlations were detected in nucleotide sequences and in human writings by several authors. We undertake here a systematic investigation of two books, Moby Dick by H. Melville and Grimm's tales, with respect to the…

chao-dyn · Physics 2009-10-22 Werner Ebeling , Thorsten Pöschel

We present a panoramic map of the stellar streams of the Milky Way based upon astrometric and photometric measurements from the Gaia DR2 catalogue. In this first contribution, we concentrate on the halo at heliocentric distances beyond 5…

Astrophysics of Galaxies · Physics 2018-09-19 Khyati Malhan , Rodrigo A. Ibata , Nicolas F. Martin

A comparison of two english texts from Lewis Carroll, one (Alice in wonderland), also translated into esperanto, the other (Through a looking glass) are discussed in order to observe whether natural and artificial languages significantly…

Physics and Society · Physics 2012-09-04 M. Ausloos

Research on AI-generated text detection has presented a number of approaches to discern human from AI prose, some of which achieving high in-distribution performance. However, real-world applicability has stalled because their outputs are…

Artificial Intelligence · Computer Science 2026-05-28 Aldan Creo , Suraj Ranganath

The syntactic behaviour of texts can highly vary depending on their contexts (e.g. author, genre, etc.). From the standpoint of stylometry, it can be helpful to objectively measure this behaviour. In this paper, we discuss how coalgebras…

Computation and Language · Computer Science 2021-08-10 Joël A. Doat

Statistical methods have been widely employed in many practical natural language processing applications. More specifically, complex networks concepts and methods from dynamical systems theory have been successfully applied to recognize…

Computation and Language · Computer Science 2015-03-04 Diego R. Amancio

The correlation distance quantifies the statistical independence of two classical or quantum systems, via the distance from their joint state to the product of the marginal states. Tight lower bounds are given for the mutual information…

Quantum Physics · Physics 2013-09-23 Michael J. W. Hall

We present a comparison of two english texts, written by Lewis Carroll, one (Alice in wonderland) and the other (Through a looking glass), the former translated into esperanto, in order to observe whether natural and artificial languages…

Computation and Language · Computer Science 2008-01-17 J. Gillet , M. Ausloos

The Milky Way halo is one of the few galactic haloes that provides a unique insight into galaxy formation by resolved stellar populations. Here, we present a catalogue of $\sim$47 million halo stars selected independent of parallax and…

We investigated long range correlations in two literary texts, Moby Dick by H. Melville and Grimm's tales. The analysis is based on the calculation of entropy like quantities as the mutual information for pairs of letters and the entropy,…

Disordered Systems and Neural Networks · Physics 2015-06-24 Werner Ebeling , Thorsten Poeschel

We investigate social networks of characters found in cultural works such as novels and films. These character networks exhibit many of the properties of complex networks such as skewed degree distribution and community structure, but may…

Social and Information Networks · Computer Science 2016-10-03 Anthony Bonato , David Ryan D'Angelo , Ethan R. Elenberg , David F. Gleich , Yangyang Hou

Recent advances in large language models have created new opportunities for stylometry, the study of writing styles and authorship. Two challenges, however, remain central: training generative models when no paired data exist, and…

Computation and Language · Computer Science 2025-11-26 Mosab Rezaei , Mina Rajaei Moghadam , Abdul Rahman Shaikh , Hamed Alhoori , Reva Freedman
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