Metadata-Version: 2.1
Name: korean-text-normalizer
Version: 0.1.1
Summary: A tool for normalizing Korean text
Home-page: https://github.com/Oh-JongJin/korean_text_normalizer
Author: Oh Jongjin
Author-email: 5jx2oh@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: jamo>=0.4.1

# Korean Text Normalizer

Korean Text Normalizer is a Python package for normalizing Korean text. It provides various functions to process and clean up Korean text data.



## Features

- Expand common Korean abbreviations
- Perform basic spell checking
- Normalize emoticons
- Detect and correct sentence boundaries
- Separate and combine Korean jamo (syllable characters)



## Installation

You can install the package using pip:

```
pip install korean-text-normalizer
```



## Usage

Here's a basic example of how to use the Korean Text Normalizer:

```python
from korean_text_normalizer import KoreanTextNormalizer

normalizer = KoreanTextNormalizer()

text = "ㅎㅇ! 오늘 날씨가 좋네요ㄱㅅ ^_^ 내일도 날씨가 좋았으면"
normalized_text = normalizer.normalize(text)

print(normalized_text)
```



## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.



## License

This project is licensed under the MIT License.
