NLP++ Was Not Invented. It Was Deduced.
Why the first universal language for deterministic text analysis was never a matter of taste — and why it took a machine built out of statistics to finally prove the point.
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Author: David de Hilster
Protected: The Gap Nobody Talks About
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The Language That Parses Itself: Inside the Architecture of NLP++
NLP++ is parsed by an analyzer written in NLP++, and its knowledge lives in a Conceptual Grammar whose lineage runs back through 1995 C code to a DARPA system built on LISP machines in 1983. Here is how Amnon Meyers built it.
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Protected: The model guesses. The grammar proves.
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Protected: NLP++ in Production: The Jobs Only It Can Do
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NLP++ in VS Code: Everything New in Version 3
Version 3 has been the biggest chapter yet for the NLP++ extension for Visual Studio Code. What started as a way[…]
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Using Claude with NLP++
Yes, you can have Claude write NLP++ for you — and no, that doesn’t make it another black box. This step-by-step guide takes you from a blank machine to a working analyzer: install VS Code, add the NLP++ extension, run Claude Code, and use the built-in prompts to generate real, glass-box code. What you keep is deterministic, auditable, and runs on its own — no model required.
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8 Weeks with Claude and NLP++
I spent the last 8 weeks using Claude to eventually replace Claude. Ironic…
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Every Way to Run an NLP++ Analyzer
One of the strengths of NLP++ is that once you’ve written an analyzer in the VisualText VS Code extension, you[…]
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Inside Version 3 of the VisualText NLP Engine: Compiled, Cloud-Built, on npm — and AI-Assisted
For most of its life, the NLP++ engine has been a powerful tool for writing rule-based analyzers — explainable, glass-box,[…]
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