An Embedded CKIP Rasa NLU Components
Project description
rukip
An Embedded CKIP Rasa NLU Components
Introduction
This open-source library implements Rasa custom components.
It offerstokenizer
powered by ckiptagger as condadate in RasaNLU pipeline.
Installation
This library is built on python >= 3.6
pip install rukip
Usage
Download model files
The model files are available on several mirror sites.
You can download and extract to the desired path by the following steps:
- Downloads to
./data.zip
- Extracts to
./data/
Add CKIPTokenizer
component into rasa nlu pipeline and configure model_path as ./data
.
The following is the example Rasa NLU config file
language: "zh"
pipeline:
- name: "rukip.tokenizer.CTBCTokenizer"
model_path: "./data"
recommend_dict_path: ""
cooerce_dict_path: ""
- name: "CountVectorsFeaturizer"
- name: "EmbeddingIntentClassifier"
Components
CKIPTokenizer
This component has one required field (model_path) to be configured and offers two optional fields for user to assign dictionaries.
recommend_dict_path
is the file containing list of user-defined recommended-wordcooerce_dict_path
is the file containing a list of must-word.
The following is the example of user-defined dictionary. Each line shows one pair of word and weight.
土地公 1
土地婆 1
公有 2
來亂的 1
緯來體育台 1
Development
$> git clone git@github.com:circlelychen/rukip.git
$> pip install -r requirements-to-freeze.dev.txt
$> make test
License
licensed under the GNU General Public License v3.0
Project details
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