An Amharic language gender-specific adjectives classifier machine learning model. It contains its own small datasets (1k+) and a word embedding algorithm tailored for the Amharic language to encode Amharic words into dense numerical vectors, capturing semantic relationships between words.
# simp-lsan
simplsan is an Amharic language gender-specific adjectives classifier machine learning model.
simplsan contains its own small datasets (1k+) and a word embedding algorithm tailored for the Amharic language to encode Amharic words into dense numerical vectors, capturing semantic relationships between words.
✍🏾 amharic-script
## Installation
To use this repository, you need to have Python, NumPy, and Jupyter Notebook installed. You can install the required packages using pip:
```bash
pip install numpy jupyter
```
Clone this repository to your local machine:
```bash
git clone
github.com
cd simp-lsan
```
## Contributing
Contributions are welcome! If you want to contribute to this project, please follow these steps:
1. Fork this repository.
2. Create a new branch: `git checkout -b feature/YourFeature`
3. Make your changes and commit them: `git commit -m 'Add some feature'`
4. Push to the branch: `git push origin feature/YourFeature`
5. Open a pull request.
Please ensure your code adheres to the existing style and includes appropriate tests.
### Releases
## License
MIT