yltk 0.1.0

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Yoruba Language Took Kit

The Yoruba language toolkit was developed as a tool for processing and preprocessing Yoruba language. In the similitude of how the NLTK works, where stopwords, stem, lemmas are handle while processing languages, the YLTK is also equipped with various tools ranging from the stopwords in Yoruba and other things are under development.

• Installation
• Usage
• Features
• Contributing
• License
• Authors

Installation

Clone the repository:

git clone https://github.com/username/project-name.git

Activate virtual environment

 YLTK\Scripts\activate

Install requirement

 pip install -r requirements.txt

Add you API_KEY

   export API_KEY='your-api-key-here'

Usage

Run the script:

 python detect.py --url https://example.com

Features

• Batch processing of large text to extract Yoruba texts alone with the method extract_yoruba_words.
• Frequency count for each words with the method word_frequency_count.
• Generate Stop words that is higher than a specified frequency with the method stop_words.
• Batch Stop words removal from a large Yoruba text using the method remove_stopwords

Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository.
2. Create a feature branch: git checkout -b feature-name.
3. Commit your changes: git commit -m "Add feature-name".
4. Push the branch: git push origin feature-name.
5. Submit a pull request.

Testing

Run the tests using:

pytest tests/

License

This project is licensed under the MIT License. See the LICENSE file for details.

Authors

1. Kolade Atanseiye: [e-mail]