crownpku/Rasa_NLU_Chi
Turn Chinese natural language into structured data 中文自然语言理解 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3360
- days_rel: n/a
- days_push: 764
- n_releases_24m: 0
Adoption not part of the score
1531 stars · 417 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Chinese-language fork of Rasa NLU that turns Chinese natural language into structured intent and entity data using MITIE, Jieba tokenization, and sklearn pipelines. It provides training and serving of Chinese NLU models for chatbot and conversational applications.
Use cases
- build a Chinese chatbot that understands intents and entities
- extract entities from Chinese text
- classify user intents in Chinese
- tokenize Chinese text with custom dictionaries for NLU
- train a Chinese NLU model from labeled examples
When to choose
- you need intent classification and entity extraction specifically for Chinese
- you want a self-hosted Rasa NLU pipeline with Jieba and MITIE support
When to avoid
- you need modern actively maintained NLU - use Rasa 3.x or newer alternatives instead
- your project is not Chinese-language NLU
- you want a managed cloud NLU service
Facets
library · maturity maintenance
nlp machine-learning chatbot chatbots machine-learning python cross-platform chinese-nlu intent-classification named-entity-recognition jieba mitie rasa-fork natural-language-processing
1 source
- readme: https://github.com/crownpku/Rasa_NLU_Chi · fetched 2026-08-28 · 99c019fb7278
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| crownpku/Rasa_NLU_Chi | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="crownpku/Rasa_NLU_Chi")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem