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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.

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yordanoswuletaw/simp-lsan

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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:

pip install numpy jupyter

Clone this repository to your local machine:

git clone https://github.com/yordanoswuletaw/simp-lsan.git
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.

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License

MIT

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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.

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