A new study exploring similarities between Armenian and Georgian languages and the Ethiopic writing system has found strong structural links, with Armenian showing the closest match. Researchers say these findings could point to deeper historical connections between regions that were once thought to be largely separate.
The study, led by Daniel Zemene and published in Digital Scholarship in the Humanities, used machine learning tools to compare ancient scripts. It tested whether long-observed similarities between Ethiopic and Caucasian writing systems could be confirmed using modern computational methods.
A long-standing question revisited
For years, scholars have noted that several characters in the Ethiopic script resemble those in Armenian, Georgian, and Caucasian Albanian scripts. These observations were mostly based on visual comparison and historical clues, leaving room for debate.
Zemene’s team used a different approach. Researchers applied principal component analysis and a deep learning model called “FeedelLigence” to examine the structure, geometry, and patterns of characters across scripts. The aim was to test these similarities more objectively.
The study compared Ethiopic script with Armenian, Georgian, and Caucasian Albanian scripts. It also included Proto-Ge’ez, the earlier form of Ethiopic writing, and Latin as control examples.
Armenian showed the closest match
The strongest similarity appeared between Ethiopic and Armenian scripts. In visual analysis, researchers found that 29 out of 38 Armenian characters, about 76 percent, closely resembled Ethiopic forms.
The machine learning model supported this result. Armenian characters showed the lowest cosine distance, meaning they were structurally closest to Ethiopic characters. They also showed high mutual information scores, which suggest shared patterns.
New study finds striking links between Armenian and Georgian languages and the Ethiopic script.
Using AI, researchers show Armenian has the closest structural match, hinting at deeper historical connections across regions. pic.twitter.com/YcHkrDTeHD
— Tom Marvolo Riddle (@tom_riddle2025) March 31, 2026
Georgian also showed similarities, but at a lower level. Caucasian Albanian fell between Armenian and Georgian in terms of similarity. As expected, Proto-Ge’ez showed the strongest link, since it is the direct ancestor of Ethiopic script. Latin showed the least similarity.
Researchers noted that Armenian’s closeness to Ethiopic was surprisingly strong, almost matching the expected similarity between Ethiopic and its predecessor, Proto-Ge’ez.
AI revealed deeper connections
The study also showed that machine learning can identify patterns that are not always visible to the human eye. The model detected similarities between characters even when they were rotated, flipped, or slightly modified.
This suggests that some scripts may share underlying design principles, even if the characters do not look identical at first glance. The model grouped characters based on structure rather than surface appearance.
Researchers also observed shared use of strokes and diacritic-like features. These patterns may indicate deeper connections between writing systems rather than simple coincidence.
Historical links may explain similarities
The findings do not prove direct influence, but they align with known historical timelines. The development of the Ethiopic script overlaps with the period when Mesrop Mashtots created the Armenian alphabet in the early fifth century.
The study highlights possible contact points such as Jerusalem, the Levant, and the Sinai region. These areas were home to diverse religious communities, including Ethiopian and Armenian groups, which may have interacted. Such contact could have allowed ideas about writing systems to spread across regions.
A step forward, not a final answer
Researchers caution that machine learning cannot prove historical origin on its own. The results depend on data quality, image processing, and model design.
However, the study provides strong new evidence that these scripts share meaningful structural similarities. It also shows how modern technology can help revisit long-standing historical questions.
The findings suggest that writing traditions in Ethiopia and the Caucasus may be more closely connected than previously believed, opening new directions for future research.
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