Sinopy

Latest version: v0.3.4

Safety actively analyzes 681812 Python packages for vulnerabilities to keep your Python projects secure.

Scan your dependencies

0.3.4

[![DOI](https://zenodo.org/badge/30593438.svg)](https://zenodo.org/badge/latestdoi/30593438)
![PyPI](https://img.shields.io/pypi/v/sinopy.svg)

SinoPy is an attempt to provide useful functionality for users working with Chinese dialects and Sino-Tibetan language data and struggling with tasks like converting characters to Pinyin, analysing characters, or analysing readings in Chinese dialects and other SEA languages.

If you use the library in your research, please quote it as:

> List, Johann-Mattis (2018): SinoPy: Python Library for quantitative tasks in Chinese historical linguistics. Version 0.3.4. Jena: Max Planck Institute for the Science of Human History. DOI: https://zenodo.org/badge/latestdoi/30593438

0.3.3

[![DOI](https://zenodo.org/badge/30593438.svg)](https://zenodo.org/badge/latestdoi/30593438)
![PyPI](https://img.shields.io/pypi/v/sinopy.svg)

SinoPy is an attempt to provide useful functionality for users working with Chinese dialects and Sino-Tibetan language data and struggling with tasks like converting characters to Pinyin, analysing characters, or analysing readings in Chinese dialects and other SEA languages.

If you use the library in your research, please quote it as:

> List, Johann-Mattis (2018): SinoPy: Python Library for quantitative tasks in Chinese historical linguistics. Version 0.3.2. Jena: Max Planck Institute for the Science of Human History. DOI: https://zenodo.org/badge/latestdoi/30593438

0.3.2

[![DOI](https://zenodo.org/badge/30593438.svg)](https://zenodo.org/badge/latestdoi/30593438)
![PyPI](https://img.shields.io/pypi/v/sinopy.svg)

SinoPy is an attempt to provide useful functionality for users working with Chinese dialects and Sino-Tibetan language data and struggling with tasks like converting characters to Pinyin, analysing characters, or analysing readings in Chinese dialects and other SEA languages.

If you use the library in your research, please quote it as:

> List, Johann-Mattis (2018): SinoPy: Python Library for quantitative tasks in Chinese historical linguistics. Version 0.3.2. Jena: Max Planck Institute for the Science of Human History. DOI: https://zenodo.org/badge/latestdoi/30593438

0.3.1

This is a bugfix release to make sure the installation via PIP is working well.

[![DOI](https://zenodo.org/badge/30593438.svg)](https://zenodo.org/badge/latestdoi/30593438)
![PyPI](https://img.shields.io/pypi/v/sinopy.svg)

SinoPy is an attempt to provide useful functionality for users working with Chinese dialects and Sino-Tibetan language data and struggling with tasks like converting characters to Pinyin, analysing characters, or analysing readings in Chinese dialects and other SEA languages.

If you use the library in your research, please quote it as:

> List, Johann-Mattis (2018): SinoPy: Python Library for quantitative tasks in Chinese historical linguistics. Version 0.3.1. Jena: Max Planck Institute for the Science of Human History. DOI: https://zenodo.org/badge/latestdoi/30593438

This is intended as a plugin for LingPy, or an addon. The library gives utility functions that prove useful to handle Chinese data in a very broad context, ranging from Chinese character readings up to proposed readings in Middle Chinese and older stages of the language.

0.3

[![DOI](https://zenodo.org/badge/30593438.svg)](https://zenodo.org/badge/latestdoi/30593438)
![PyPI](https://img.shields.io/pypi/v/sinopy.svg)

SinoPy is an attempt to provide useful functionality for users working with Chinese dialects and Sino-Tibetan language data and struggling with tasks like converting characters to Pinyin, analysing characters, or analysing readings in Chinese dialects and other SEA languages.

If you use the library in your research, please quote it as:

> List, Johann-Mattis (2018): SinoPy: Python Library for quantitative tasks in Chinese historical linguistics. Version 0.3.0. Jena: Max Planck Institute for the Science of Human History. DOI: https://zenodo.org/badge/latestdoi/30593438

Links

Releases

Has known vulnerabilities

© 2024 Safety CLI Cybersecurity Inc. All Rights Reserved.