PyCWS | Tools used to do Chinese Word Segmentation

by minixalpha Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | PyCWS Summary

PyCWS is a Python library. PyCWS has no bugs, it has no vulnerabilities and it has low support. However PyCWS build file is not available. You can download it from GitHub.

Tools used to do Chinese Word Segmentation

Support

Quality

Security

License

Reuse

Support

PyCWS has a low active ecosystem.

It has 21 star(s) with 20 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

PyCWS has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of PyCWS is current.

Quality

PyCWS has no bugs reported.

Security

PyCWS has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

PyCWS 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

PyCWS releases are not available. You will need to build from source code and install.

PyCWS 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 PyCWS and discovered the below as its top functions. This is intended to give you an instant insight into PyCWS implemented functionality, and help decide if they suit your requirements.

Get a feature from a test file .
Extract event from a tag file .
main function
extracts the training set of words from a training set
Divide words into words .
Takes a feature test set and creates a feature list .
Convert a tag training set to a list of words .
Extract a list of files from a file .
generate dictionary
Train maxent model .

Get all kandi verified functions for this library.

PyCWS Key Features

No Key Features are available at this moment for PyCWS.

PyCWS Examples and Code Snippets

No Code Snippets are available at this moment for PyCWS.

Community Discussions

No Community Discussions are available at this moment for PyCWS.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install PyCWS

You can download it from GitHub.
You can use PyCWS 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 .

Find more information at: