A neural machine translation model implementing a sequence-to-sequence architecture with LSTM for English-Frisian translation.
This repository contains an implementation of a bidirectional LSTM-based sequence-to-sequence model for English-Frisian translation. The model is designed to handle the unique challenges of English-Frisian translation, including different writing systems and sentence structures.
May struggle with idiomatic expressions
Limited handling of Frisian vowel marks (nikud)
Performance varies with sentence length and complexity
May require fine-tuning for specific domains
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
📚 Citation
If you use this model in your research, please cite:
bibtexCopy@software{english_Frisian_translator,
author = {Giri_Merugu},
title = {English-Frisian LSTM Seq2Seq Translator},
year = {2024},
publisher = {GitHub},
url = {
https://github.com/your-username/english-Frisian-translator}
}
🙏 Acknowledgments
Thanks to professor Dr.Bibek from the university of new haven
Special thanks to the open-source community
