Machine Learning models can now accurately replicate cuneiform characters from photos of ancient tablets, facilitating the reading of complex scripts. The ProtoSnap approach aligns a prototype character with individual variations on tablets, enabling precise reproduction. This method enhances optical character recognition, improving the identification of rare and varied characters. The advancement could significantly increase the availability of ancient texts for analysis.
