HanziGraph VS jieba-wasm

Thanks! The project is actually originally for hanzi: https://hanzigraph.com, with the Japanese part being added after. For the other suggestions: I'll add them to my TODO list :-)

I (not generally a web dev) threw together a site (also installable as a PWA) that allows visualization and study of Chinese and Japanese characters, words, and lemmas). Check it out in Chinese or Japanese (or see the Japanese-specific demo).

I made a free, open-source tool for learning Chinese. You can check out a demo, or use it with simplified characters, traditional characters, or (less fully featured, but it's something) Cantonese.

The code is free and open source, and you can find it on GitHub.

Sure, it's here!

The code is gross, but can be found on github.

Features: * Interactive graph representations of the way characters connect to form words, with color coding based on which words and characters are most commonly used. * Sankey diagrams to represent the way words or lemmas are most commonly used together, based on analysis of tens of millions of lines of subtitles. * Cumulative usage graphs, to illustrate the pareto principle as it applies to language learning, with the most common words being disproportionately valuable. * Text to speech, plus highlighting, via the Web Speech API. * Usable as a full dictionary, with definitions and example sentences (both human and AI generated) for hundreds of thousands of words. * In-browser flash cards, plus stats (with graphs I implemented via CSS grid for some reason), exportable to other flash card systems. * Recommended characters based on the user's graph traversal stats. * Light and dark themes. * Sentence tokenization (which is complicated in languages that aren't space-delimited) via Intl.Segmenter or jieba-wasm. * Offline support via service worker/cache storage.