Serovvans/trocr-prereform-orthography
61.6M • Updated • 7 • 4
Boris Orekhov
nevmenandr
AI & ML interests
Natural Language Processing, Poetry Generation, Linguistics, Low-resource languages
Recent Activity
posted an update 1 day ago
https://huggingface.co/nevmenandr/char-based-lstm-russian-poetry-https://huggingface.co/nevmenandr/char-based-lstm-russian-poetry-mandelshtam
https://huggingface.co/nevmenandr/char-based-lstm-russian-poetry-hexameter
https://huggingface.co/papers/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. updated a dataset 8 months ago
nevmenandr/russian-20th-century-bigrams updated a model 10 months ago
nevmenandr/w2v-russian-fictionOrganizations
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