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perplexity-score

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Local, full-logit AI text forensics and humanization toolkit. It scores markdown with observer/performer llama.cpp models (logPPL, logXPPL, B), surfaces chunk-aware hotspots and heatmaps, ranks rewrites, and ships CLI, desktop UI, VS Code extension, plus a local scoring API and demo harness, all privacy-first and reproducible.

  • Updated Feb 22, 2026
  • Python

TextAuth — Evidence-Based Text Authenticity Analysis: A forensic analysis system that evaluates textual evidence using multiple statistical, linguistic, and semantic signals to assess content authenticity across education, publishing, hiring, and research domains.

  • Updated Feb 11, 2026
  • Python

Implemented and compared Statistical and Neural Language Models. Built N‑gram models with Kneser‑Ney & Witten‑Bell smoothing and a Neural Language Model, evaluated using sentence‑level and corpus‑level perplexity scores on multiple text corpora to analyze performance differences between statistical and neural approaches

  • Updated Jul 28, 2025
  • Jupyter Notebook

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