HieroLM

This is the PyTorch implementation for HieroLM proposed in the paper HieroLM: Egyptian Hieroglyph Recovery with Next Word Prediction Language Model published at The 9th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2025) at NAACL 2025.

To train the model, run the following command:

python main.py --cuda True --dataset [aes/ramses/mixed]

To test the trained model on test set, run the following command:

python main.py --cuda True --dataset [aes/ramses/mixed] --mode decode

To interact with the trained model in real time, run the following command:

python main.py --cuda True --dataset [aes/ramses/mixed] --mode realtime