Welcome to the Machine Translation repository! This project is focused on building a machine translation system using advanced natural language processing (NLP) techniques.
Machine translation is the task of automatically converting text from one language to another. In this project, we have implemented a translation system that leverages deep learning models and state-of-the-art neural machine translation (NMT) architectures.
- Utilizes Recurrent Neural Networks (RNNs), LSTMs, and Transformer models.
- Supports multilingual translation tasks.
- Fine-tuned mBERT and GPT models for enhanced performance.
- REST API integration for easy deployment and scaling.
This project is built using:
- Python
- TensorFlow & PyTorch: For building and training NMT models.
- spaCy & NLTK: For text preprocessing.
- mT5: For multilingual text translation.
- BERT & GPT-3: For fine-tuning models.
- Flask: For REST API integration.
- GitHub: For version control and collaboration.
Make sure you have the following installed:
- Python 3.7+
- TensorFlow, PyTorch, and spaCy
- Flask (if running the API)
Clone the repository:
git clone https://github.com/dhruv7539/Machine-Translation.git
cd Machine-Translation
You can then send POST requests to test the translation system.
## 📊 Results
The model achieves high accuracy in NLLB model compared to mBART, with notable improvements in translation quality when compared to traditional methods.
## 🧪 Testing
For unit testing, use the following command:
```bash
pytest tests/
💡 Contributing
Contributions are welcome! If you'd like to contribute, please fork the repository and submit a pull request.
📜 License
This project is licensed under the MIT License. See the LICENSE file for more details.
👤 Contact
Author: Dhruv
Email: [email protected]