Stylometry or Embeddings? Authorship Attribution for Russian and Italian Poetry
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资源简介：
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
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Zenodo创建时间：
2026-01-15
