This repository represents the final phase of our project, where we integrate and implement the best-performing models to build a fully functional system. The focus is on evaluating the practical application of our models and ensuring they deliver accurate and reliable results in decoding obscure Korean text.
The primary purpose of this repository is to compare the performance of various models developed during the experimental phase and implement the most effective one into a real-world system. This system will serve as a prototype, demonstrating the potential of our NLP technology.
Once the Korean language system is fully operational, we plan to adapt and expand it to support other languages, enabling global applicability and inclusivity.
- Finalized model integration and implementation scripts
- System architecture and deployment guidelines
- Performance comparison and analysis reports
- Demonstrations of the system in action
Contributions are welcome to improve the system’s efficiency and expand its features. Please refer to the CONTRIBUTING.md file for detailed guidelines on how to participate in this repository.
This project is licensed under the MIT License. For more information, see the LICENSE file.