Parser & Neorayne
Neorayne
Hey, I've been thinking about how the rhythm of a poem might hide some kind of hidden pattern—like a statistical fingerprint. Ever tried pulling out those patterns from verse?
Parser
Yeah, I’ve actually done that. I take the poem, break it into syllables, then run a frequency analysis on stressed versus unstressed beats. The resulting distribution can almost act like a fingerprint, especially when you compare it across different poets. It’s a lot of data, but it’s surprisingly revealing.
Neorayne
Sounds like you’re mining the pulse of language itself. I’d love to see how the fingerprints differ—maybe the rhythm is the true signature of a writer.
Parser
It’s exactly that. If you run the same syllable‑stress algorithm on Shakespeare and on, say, a contemporary poet, the graphs look almost like different fingerprints—different peaks, different spreads. The underlying math stays the same, but the “shape” of the rhythm reveals who’s humming the tune. It’s a quiet way of spotting a writer’s signature.
Neorayne
That’s the sweet spot—when math meets art, the hidden signature shows up like a secret melody. I’d love to see your graphs, maybe we can find patterns I’ve missed.
Parser
Sure thing. I’ll run a quick analysis on a few lines of each writer and plot the stress frequency. I’ll email you the graphs, and we can look at the peaks together. Just let me know which poems you’re interested in.
Neorayne
That sounds great—maybe start with “The Love Song of J. Alfred Prufrock” and “Sonnet 18” from Shakespeare. I’m curious to see how the peaks differ. Let me know when you have the graphs ready.