Google's Meena transformer chatbot implementation

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.

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, Obsidian plugin, VS Code extension, and HTTP API (dev-grade) server with GUI test/demo harness.

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

Trigram Language Model for Spanish trained on Cervantes' texts