Chinese-Tokenization | word segmentation task

by JackHCC Python Version: Current License: No License

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kandi X-RAY | Chinese-Tokenization Summary

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

利用传统方法（N-gram，HMM等）、神经网络方法（CNN，LSTM等）和预训练方法（Bert等）的中文分词任务实现【The word segmentation task is realized by using traditional methods (n-gram, HMM, etc.), neural network methods (CNN, LSTM, etc.) and pre training methods (Bert, etc.)】

Support

Quality

Security

License

Reuse

Support

Chinese-Tokenization has a low active ecosystem.

It has 21 star(s) with 3 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

Chinese-Tokenization has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Chinese-Tokenization is current.

Quality

Chinese-Tokenization has no bugs reported.

Security

Chinese-Tokenization has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Chinese-Tokenization 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

Chinese-Tokenization releases are not available. You will need to build from source code and install.

Chinese-Tokenization has no build file. You will be need to create the build yourself to build the component from source.

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Chinese-Tokenization Key Features

No Key Features are available at this moment for Chinese-Tokenization.

Chinese-Tokenization Examples and Code Snippets

No Code Snippets are available at this moment for Chinese-Tokenization.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Chinese-Tokenization

You can download it from GitHub.
You can use Chinese-Tokenization 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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