cn-text-normalizer | python module that convert chinese written string

by open-speech Python Version: Current License: MIT

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

kandi X-RAY | cn-text-normalizer Summary

cn-text-normalizer is a Python library. cn-text-normalizer has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install cn-text-normalizer' or download it from GitHub, PyPI.

A python module that convert chinese written string to read string. 一个python包：将中文书面字符串转换为口语字符串。

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Quality

Security

License

Reuse

Support

cn-text-normalizer has a low active ecosystem.

It has 108 star(s) with 32 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 410 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cn-text-normalizer is current.

Quality

cn-text-normalizer has 0 bugs and 0 code smells.

Security

cn-text-normalizer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

cn-text-normalizer code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

cn-text-normalizer is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

cn-text-normalizer releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

cn-text-normalizer saves you 139 person hours of effort in developing the same functionality from scratch.

It has 347 lines of code, 23 functions and 4 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed cn-text-normalizer and discovered the below as its top functions. This is intended to give you an instant insight into cn-text-normalizer implemented functionality, and help decide if they suit your requirements.

Convert a string to a string
Convert num_str to CN
Convert a num_str to a CN number
Convert a cn to a number
Read the README md file

Get all kandi verified functions for this library.

cn-text-normalizer Key Features

No Key Features are available at this moment for cn-text-normalizer.

cn-text-normalizer Examples and Code Snippets

No Code Snippets are available at this moment for cn-text-normalizer.

Community Discussions

No Community Discussions are available at this moment for cn-text-normalizer.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install cn-text-normalizer

You can install using 'pip install cn-text-normalizer' or download it from GitHub, PyPI.
You can use cn-text-normalizer 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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