Santhosh Thottingal

Rendering complex scripts in terminal and OSC 66

As a programmer, I spend most of my time in a terminal application like Kitty. I use Neovim as my code editor. I use CLI based AI agents. But the biggest pain, even in 2026, is that there is no terminal that can render complex scripts like Indic languages or Arabic. This is a significant limitation for me, as most of my work involves language processing. In this article, I will give a brief overview of why this issue remains unsolved—covering the character-cell grid model, width measurement, and

Variable interpolatable smooth curves and outlines

I am a type designer using non-conventional approaches to type design. Since 2020, I have been experimenting with parametric type design approaches based on a modernized MetaPost approach. I have written extensively about this approach in this blog. I have also published a paper1 on that. One of the drawbacks of the MetaPost-based approach is that MetaPost is quite old, actually older than me. It was written in the 1980s. MetaPost was actually a modernization on top of MetaFont by Knuth. It did

The Broken Token: Tokenization for Malayalam Language Models

Standard LLMs fragment Malayalam words into 15+ meaningless pieces, destroying the semantic signal required for learning. This post details the training of custom BPE and Unigram tokenizers, and explores why resolving fragmentation is the necessary first step toward solving the larger problems of data scarcity and complex morphology

crates.io: Rust Package Registry

crates.io serves as a central registry for sharing crates, which are packages or libraries written in Rust that you can use to enhance your projects

modernfontstacks.com

Modern Font Stacks

System font stack CSS organized by typeface classification for every modern OS. The fastest fonts available. No downloading, no layout shifts, no flashes — just instant renders.

Diff

Unlocking the World’s Languages in Wikipedia: A look into MinT’s Impact so far

Cover page  [source of image] Did you know that the Wikimedia Foundation’s Machine in Translation (MinT) service supports the translation of 40,216 language pairs? This means people can transl…

kachatathapa.com

KaChaTaThaPa – International Calligraphy Festival of Kerala

CLI for transforming Wikipedia articles to text, markdown, and JSON

We are witnessing a resurgence and evolution of Command Line Interfaces (CLIs), accelerated by AI agents. Text-based, scriptable CLI tools work very well with LLM-based workflows. Accessing Wikipedia articles during an agent session is common. Usually, a webfetch call is used to get the HTML for a page from a URL like https://en.wikipedia.org/wiki/2026_Winter_Olympics. That works, and LLMs are smart enough to read HTML. But there is a cost: HTML is for rendering, so the model must ignore a lot o

Preparing sentence dataset from a wikipedia

I’m excited to announce two new resources for natural language processing researchers and developers: wikisentences - A Rust-based tool for extracting sentence datasets from Wikipedia dumps in any language ml-wiki-sentences - A dataset of 2.25 million Malayalam sentences extracted from Wikipedia, now available on HuggingFace, prepared using the above tool. The Wikisentences Tool The wikisentences project provides a complete pipeline for creating sentence datasets from Wikipedia content: Core T

How to identify and annotate sentences in an HTML page

If you have ever needed to work with sentences inside an HTML page — highlight them, translate them, read them aloud — you quickly run into a deceptively awkward problem. The text is not plain text. It is interspersed with tags, attributes, inline elements, and markup that your sentence detector has no business reading. This post walks through an exploratory JavaScript project — html-sentence-segmenter — that I built to figure out how to do this properly. It is not a polished, reusable library.

GitHub - wikimedia/sentencex: A sentence segmentation library with wide language support optimized for speed and utility.

A sentence segmentation library with wide language support optimized for speed and utility. - wikimedia/sentencex

Metapost Sandbox -

Try Metapost quickly and easily with our online sandbox application! View and preview your results in a user-friendly interface. Perfect for anyone wanting to experiment with Metapost without the hassle of setting up an environment. Start creating illustrations now!