Stylometry or Embeddings? Authorship Attribution for Russian and Italian Poetry

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

Read full text
Authors: Maria Levchenko
DOI: 10.5281/zenodo.18258252
Cited by: 0

Abstract

Corpora: - Russian: 29 poets, 200 poems each, with prosodic annotations - Italian: 52 poets, 200 poems each Embeddings (6 models): - Gemini text-embedding-001 (3,072 dimensions) — API - OpenAI text-embedding-3-large (3,072 dimensions) — API - Voyage-3-large (1,024 dimensions) — API - Qwen3-Embedding-8B (4,096 dimensions) — Local - E5-large multilingual (1,024 dimensions) — Local - BGE-M3 (1,024 dimensions) — Local, Russian only

Fields of Study & Subjects

Authorship Attribution and Profiling Topic Modeling Digital Humanities and Scholarship

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 January 2026
Language
RU
Document type
Dataset