Part 2: “The Power of AI in Deciphering Ancient Scripts”
Welcome to the second part of our series on AI and ancient languages. In the first post, we introduced a revolutionary AI model capable of translating Akkadian and Sumerian cuneiform. Today, we’ll delve deeper into the potential and challenges of using AI to decipher ancient scripts.
Artificial intelligence has shown immense potential in various fields, and its application in translating ancient scripts is no exception. By training a neural network on Akkadian and Sumerian cuneiform, the researchers have demonstrated how AI can aid in the translation of ancient languages.
The AI model developed by the team is capable of translating both transliterated Akkadian in Latin text and unicode representations of cuneiform into English. This method allows for effective translation of the ancient script, despite the inherent complexity of cuneiform.
However, like any AI system, the model is not without its limitations. For instance, it tends to “hallucinate” or generate inaccurate translations when dealing with text longer than 118 characters. Despite these challenges, the model represents a significant step forward in the use of AI for translating ancient languages.
As we continue to refine and improve these AI models, we can look forward to a future where the secrets of ancient scripts are more accessible than ever before. In the next part of this series, we’ll explore the impact of AI on Assyriology and historical studies.
Ruins and Relics 