jieba-rs

The Jieba Chinese Word Segmentation Implemented in Rust

Installation

Add it to your Cargo.toml:

toml [dependencies] jieba-rs = "0.6"

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

```rust 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

toml [dependencies] jieba-rs = { version = "0.6", features = ["tfidf", "textrank"] }

Run benchmark

bash cargo bench --all-features

Benchmark: Compare with cppjieba

• 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

License

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