Abstract
The Living and Dead Prince A collaboration by Machiavelli, Ricci, Marriott, Gemini, and Wells.
System: Python (Recursive LCS + NLTK + Matplotlib)
Developed using Google's Gemini
Translation is an act of resurrection, but no two ghosts speak with the same voice. This project treats the text of The Prince and its translations not as a static document, but as a fluid data set. By algorithmically comparing the Marriott and Ricci translations, this generator exposes the friction between interpretations.
The layout mimics the tension of the translation process:
Convergence: When the translators align (for sequences of 2+ words), the text heals into a single, centered narrative stream.
Divergence: When word choices differ, the page fractures. The distinct voices run side-by-side, analyzed in real-time by Natural Language Processing engines that graph the variance in sentiment, grammar, and linguistic density.
The result is a novel document that visually breathes—expanding and contracting in convergences and divergences of the living and the dead.
System: Python (Recursive LCS + NLTK + Matplotlib)
Developed using Google's Gemini
Translation is an act of resurrection, but no two ghosts speak with the same voice. This project treats the text of The Prince and its translations not as a static document, but as a fluid data set. By algorithmically comparing the Marriott and Ricci translations, this generator exposes the friction between interpretations.
The layout mimics the tension of the translation process:
Convergence: When the translators align (for sequences of 2+ words), the text heals into a single, centered narrative stream.
Divergence: When word choices differ, the page fractures. The distinct voices run side-by-side, analyzed in real-time by Natural Language Processing engines that graph the variance in sentiment, grammar, and linguistic density.
The result is a novel document that visually breathes—expanding and contracting in convergences and divergences of the living and the dead.
| Original language | English |
|---|---|
| Type | Novel contribution to the 2025 nanogenmo writing event. |
| Media of output | Digital publication (code and novel) |
| Number of pages | 1095 |
| Place of Publication | NaNoGenMo 2025 |
| Publication status | Published - 22 Nov 2025 |
Keywords
- novel
- digital
- computational
- creative writing
- nanogenmo
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