Machine learning has already shown success in interpreting ancient languages. Projects like the decipherment of the Ugaritic script and improvements in understanding Linear B are examples where technology has made a significant impact. By analyzing the structure, frequency, and combination of symbols, machine learning algorithms have helped to reconstruct possible meanings and grammatical structures that have eluded scholars for decades.
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