Every developer who has worked with stylometry knows the drill: you feed a corpus of texts with known authors into a machine learning pipeline, extract a feature set usually the most frequent words, apply some dimensionality reduction PCA, anyone?, a...

Practical tools for OCR, accentuation, and text analysis that every developer should know about The Problem If you're working with Russian texts in the humanities, you've probably faced this situation: you need to process a pre-1917 text, but ever...

Or: why I didn't use Manacher's algorithm and still got 217 new palindromes The Idea Everyone knows crafted palindromes like "Never odd or even" or "A man, a plan, a canal – Panama". They're beautiful, but they're constructed — someone sat down a...

I recently published a digital anthology project at nevmenandr.github.io/WLA. The setup was smooth – I used Obsidian with the excellent obsidian-publish-mkdocshttps://github.com/jobindjohn/obsidian-publish-mkdocs/ plugin to generate a clean, docu...

As the author of "Electronic Lyre" Электронная лира, I want to share why this book is essential reading for developers working at the intersection of code and creativity. For years, we've treated poetry generation as a side project – a fun way to tes...

Or why language vitality online has nothing to do with speaker counts — and everything to do with data engineering Russia speaks dozens of minority languages — Tatar, Bashkir, Udmurt, and even tiny ones like South Yukaghir fewer than 50 speakers. ...

Or why a 1500-year-old board game is the ultimate playground for ML engineers Remember when beating a human at chess was the holy grail of AI? In 1972, it was the benchmark — the "ImageNet moment" of its era. Fast forward to today: a Raspberry Pi ...