Linear A, the writing system of the Minoan civilization, remains undeciphered due to the absence of bilingual texts or known linguistic relatives. It is considered a "language isolate," posing a significant challenge for linguists for over a century. Etruscan, another ancient language, faces similar decipherment difficulties.
AI is being applied to complex linguistic puzzles like Linear A and Etruscan, not by replacing human linguists, but by augmenting their hypotheses. This approach aims to accelerate the decipherment process that has eluded human efforts for decades.
In June 2026, a self-taught AI engineer and amateur linguist claimed a breakthrough in Linear A decipherment. The process began with a hypothesis that a specific word in a prayer inscription had a Semitic root meaning "to dwell" or "to inhabit." The engineer then used AI-built programming scripts to test this sound-pattern against the entire collected Linear A corpus.
This AI-assisted effort reportedly led to the assignment of values to 40 signs and the compilation of a 408-word lexicon. The engineer's conclusion is that Linear A is an extinct member of the Semitic language group, which includes languages like Hebrew and Aramaic. The AI's contribution was in testing the initial human-generated idea, not in originating the hypothesis itself.
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An AI engineer used AI-built programming scripts to test a hypothesis about Linear A, an undeciphered ancient language, after making an initial linguistic guess. This effort resulted in assigning values to 40 signs and compiling a 408-word lexicon, suggesting Linear A is a Semitic language.