Ancient alphabets, new insights: Researchers uncover hidden links among the letters
Why it matters: This AI-driven research provides objective evidence for historical linguistic connections, potentially rewriting the understanding of ancient alphabet development.
- San Diego State University researchers used AI to objectively compare ancient alphabets, finding strong structural links between the Armenian and Ethiopic writing systems.
- AI was trained on over 28,000 Ethiopic characters to learn shapes and patterns without historical or cultural bias, then compared them to Armenian, Georgian, and Caucasian Albanian alphabets.
- The Armenian alphabet showed the strongest similarity to Ethiopic, almost as much as Ethiopic is similar to its own earlier version, suggesting a non-accidental connection.
- Sam Kassegne, lead investigator, emphasizes the reproducibility of their objective computational method as a key contribution, moving beyond difficult-to-test visual impressions.
San Diego State University researchers, leveraging AI, have uncovered striking structural similarities between ancient writing systems, particularly highlighting a previously underestimated connection between the Armenian and Ethiopic alphabets. This computational approach moves beyond subjective visual inspection, suggesting the resemblance may not be accidental given the historical context of Ethiopic expansion around the time the Armenian alphabet was created.
