torchlingo 0.0.8

Educational PyTorch NMT library for coursework and instruction.

TorchLingo

TorchLingo is an educational PyTorch library for Neural Machine Translation (NMT). Designed for students and instructors, it provides a clean, well-documented implementation of the Transformer architecture for learning and experimentation.

Features

• 🎓 Educational Focus: Clean, readable code designed for learning
• 🔄 Transformer Architecture: Full encoder-decoder implementation with multi-head attention
• 📝 SentencePiece Tokenization: BPE and Unigram subword models
• 🔁 Back-Translation: Data augmentation for improved translation quality
• 🌍 Multilingual Support: Train a single model for multiple language pairs
• 📊 TensorBoard Integration: Monitor training progress in real-time

Installation

pip install torchlingo

For development:

pip install torchlingo[dev]

Documentation

For full documentation, tutorials, and API reference, visit:

• Getting Started Guide
• API Reference

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the GNU Affero General Public License v3.0 - see the LICENSE file for details.

Acknowledgements

This project was initially developed by Josh Christensen as part of his undergraduate work at BYU.

"I hope that TorchLingo will be a valuable resource for students learning about neural machine translation, and that they will consider improving this project and the entire world with the knowledge they gain."
— Josh Christensen