NLP_Particle | 清华大学电子系NLP & TM课程的第一个大作业，关于中文分词的几个基本算法的应用
kandi X-RAY | NLP_Particle Summary
kandi X-RAY | NLP_Particle Summary
NLP_Particle is a Python library. NLP_Particle has no bugs, it has no vulnerabilities and it has low support. However NLP_Particle build file is not available. You can download it from GitHub.
清华大学电子系NLP&TM课程的第一个大作业，关于中文分词的几个基本算法的应用
清华大学电子系NLP&TM课程的第一个大作业，关于中文分词的几个基本算法的应用
Support
Quality
Security
License
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Support
NLP_Particle has a low active ecosystem.
It has 9 star(s) with 4 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
NLP_Particle has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of NLP_Particle is current.
Quality
NLP_Particle has no bugs reported.
Security
NLP_Particle has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
NLP_Particle does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
NLP_Particle releases are not available. You will need to build from source code and install.
NLP_Particle has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed NLP_Particle and discovered the below as its top functions. This is intended to give you an instant insight into NLP_Particle implemented functionality, and help decide if they suit your requirements.
- forward match .
- Backward match .
- Main function .
- Return a list of tokens in line_split .
- Writes data to a file .
- Returns True if input is a punctuation .
- Write cache to fout
Get all kandi verified functions for this library.
NLP_Particle Key Features
No Key Features are available at this moment for NLP_Particle.
NLP_Particle Examples and Code Snippets
No Code Snippets are available at this moment for NLP_Particle.
Community Discussions
No Community Discussions are available at this moment for NLP_Particle.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install NLP_Particle
You can download it from GitHub.
You can use NLP_Particle like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use NLP_Particle like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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