jieba-rs and jiebaR

The Rust implementation provides a high-performance core library that jiebaR wraps as an R binding, making them ecosystem siblings where the former serves as the underlying engine for the latter's Chinese word segmentation functionality.

jieba-rs
57
Established
jiebaR
50
Established
Maintenance 6/25
Adoption 20/25
Maturity 16/25
Community 15/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Stars: 902
Forks: 58
Downloads: 168,849
Commits (30d): 0
Language: Rust
License: MIT
Stars: 363
Forks: 108
Downloads:
Commits (30d): 0
Language: C++
License:
No Package No Dependents
Stale 6m No Package No Dependents

About jieba-rs

messense/jieba-rs

The Jieba Chinese Word Segmentation Implemented in Rust

This tool helps developers working with Chinese text to accurately break down sentences into individual words. By inputting a Chinese string, it outputs a list of separated words, which is crucial for tasks like text analysis, search indexing, or natural language processing. It's designed for developers building applications that need robust Chinese text segmentation.

Chinese-text-processing natural-language-processing search-indexing text-analytics software-development

About jiebaR

qinwf/jiebaR

Chinese text segmentation with R. R语言中文分词 (文档已更新 🎉 :https://qinwenfeng.com/jiebaR/ )

This helps you break down Chinese text into individual words or phrases, which is crucial for any text analysis. You provide raw Chinese text, and it outputs segmented words, important keywords, or identifies parts of speech. This is for researchers, marketers, or anyone needing to analyze Chinese language data in R.

Chinese-text-analysis natural-language-processing data-science-R market-research-China social-media-analysis

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