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nevmenandr 
posted an update 19 days ago
Post
93
https://huggingface.co/nevmenandr/char-based-lstm-russian-poetry-https://huggingface.co/nevmenandr/char-based-lstm-russian-poetry-mandelshtam
nevmenandr/char-based-lstm-russian-poetry-hexameter

Identifying the style by a qualified reader on a short fragment of generated poetry (2306.02771)

📜 RNN vs. Transformers: How an Old Architecture Better Perceives Poetic Style

In the era of Transformer dominance, we often forget that old RNNs (especially character-level LSTMs) remain irreplaceable for tasks where *individual style*, rhythm, and micro-patterns matter. These three models are clear proof of that.

🎯 Why does this matter today?

- **Stylistic analysis**: RNNs better capture meter, repetitions, and unexpected tonal shifts.
- **Teaching poetics**: generating "almost correct" but hallucinating lines helps explore the boundaries of style.
- **Nostalgia and replication**: a reminder that not everything is measured by BLEU and perplexity.

🖼️ Visualization

Attached is an infographic comparing the three models (architecture, style, generation sample).

> RNNs aren't dead. They're just writing poetry in silence.
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