jieba-rs

🚀 Help me to become a full-time open-source developer by sponsoring me on GitHub

The Jieba Chinese Word Segmentation Implemented in Rust

Installation

Add it to your Cargo.toml:

[dependencies]
jieba-rs = "0.10"

then you are good to go. If you are using Rust 2015 you have to extern crate jieba_rs to your crate root as well.

Example

use jieba_rs::Jieba;

fn main() {
    let jieba = Jieba::new();
    let words = jieba.cut("我们中出了一个叛徒", false);
    assert_eq!(words, vec!["我们", "中", "出", "了", "一个", "叛徒"]);
}

Enabling Additional Features

• default-dict feature enables embedded dictionary, this features is enabled by default
• tfidf feature enables TF-IDF keywords extractor
• textrank feature enables TextRank keywords extractor

[dependencies]
jieba-rs = { version = "0.10", features = ["tfidf", "textrank"] }

Run benchmark

cargo bench --all-features

Benchmark: Compare with cppjieba

• jieba-rs 分词性能优化记录：提升 2.4 倍
• Making jieba-rs 2.4x faster
• Optimizing jieba-rs to be 33% faster than cppjieba
• 优化 jieba-rs 中文分词性能评测
• 最佳化 jieba-rs 中文斷詞性能測試

jieba-rs bindings

• @node-rs/jieba NodeJS binding
• jieba-php PHP binding
• rjieba-py Python binding
• cang-jie Chinese tokenizer for tantivy
• tantivy-jieba An adapter that bridges between tantivy and jieba-rs
• jieba-wasm the WebAssembly binding
• jiebaRS R binding
• emacs-jieba-rs binding and minor mode extension

License

This work is released under the MIT license. A copy of the license is provided in the LICENSE file.