naafidasana/NativLang

BERT and GPT Language Modeling for Dagbani, a low-resourced Ghanaian language (Undergrad 3rd Year Mini-Project). # Dagbani BERT and GPT Language Models (Mini Project for School...) This mini project focuses on building BERT and GPT language models for Dagbani, a language spoken mostly in Ghana. The goal is to develop natural language processing models that can understand and generate text in Dagbani. ## Overview The project consists of two main components: 1. **BERT Language Model**: BERT (Bidirectional Encoder Representations from Transformers) is a state-of-the-art pre-trained model that can be fine-tuned for various NLP tasks. In this project, we will train a BERT model specifically tailored for Dagbani language understanding tasks. 2. **GPT Language Model**: GPT (Generative Pre-trained Transformer) is a powerful language generation model. We will train a GPT model to generate Dagbani text based on the learned patterns from a large dataset. ## Setup and Installation To set up the project environment, follow these steps: 1. Clone the repository: ```shell git clone github.com ``` 2. Install the required dependencies: ```shell pip install -r requirements.txt ``` ## Contributing Contributions to this project are welcome! If you would like to contribute, please follow these guidelines: 1. Fork the repository. 2. Create a new branch for your feature/bug fix. 3. Commit your changes with descriptive commit messages. 4. Push your changes to your fork. 5. Submit a pull request, explaining your changes and the rationale behind them. ## Contact For any inquiries or questions, please contact ibrahimnaafi@gmail.com.