While machine learning presents a fascinating avenue for deciphering ancient texts, its effectiveness is not without limitations. The accuracy of these algorithms heavily depends on the availability of ample, reliable data to train them. For languages that are poorly understood or have few surviving records, machine learning tools may struggle to make significant contributions. Additionally, the nuanced understanding of context, culture, and metaphor in ancient texts often remains a challenge for current AI.
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