Beautiful visualizations of how language differs among document types.

The Java Graphical Authorship Attribution Program

Collected solutions from Google Code Jam programming competition (2008-2021).

Stylometry library for Burrows' Delta method

Stylometric Data Mining Library with a focus on identifying Satoshi Nakamoto as a case study.

Data and code for Kang et al., EMNLP 2019's paper titled "(Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas"

Supervised Stylometry

Source code embeddings for various programming languages

Python package to deal with PAN corpora and extract stylometric features from text documents.

Repository for author masking

A command-line tool for masking authorship of text, by changing the writing style with a Large Language Model.

QuitaUp: A tool for quantitative stylometric analysis

Interpretable stylometric profiling + author-style transfer built on explicit and LLM-genenated JSON fingerprints and local measurements. Fingerprint your corpus, inspect/visualize signals, then LLM-generate stylistically similar text with meaning preserved, deterministic post-processing, normalization controls, and deviation reports. CLI + API.

Corpus abierto de obras en español en formato txt para estudios de estilometría

A tool that predicts the dialect of English of an SMS message using recurrent neural networks supplemented with data from Google Trends.

Bibtex copy of the Zotero bibliography on Stylometry

Todo lo accesorio y entorno al proyecto sobre Análisis de textos con R

This project aims to address this gap by conducting a systematic, controlled study of human versus LLM-generated text detectability using paired question–answer datasets. Rather than proposing a novel detection architecture, the focus is on analyzing detection robustness, failure modes, and the impact of adversarial humanization strategies.

A Shiny GUI for Stylo

The Python Graphical Authorship Attribution Program — An experimental Python port of the Duquesne University Evaluating Variations in Language Lab's JGAAP.