jieba-rs

Why we included this project

Dictionary-driven Chinese text processing often starts with segmentation, and jieba-rs is a solid Rust implementation of Jieba, the segmenter many teams already know. It gives you word splitting with an embedded dictionary by default, plus optional TF-IDF and TextRank keyword extractors that are useful for tagging, search suggestion, and lightweight summarization. The API stays small, so it fits applications that want predictable, rule-based segmentation rather than a heavyweight neural model, and teams moving from the original Jieba can swap implementations without redesigning their pipeline. Because it ships bindings for Node.js, Python, PHP, and WebAssembly, you can keep the same segmentation behavior across a polyglot stack.