人工智能技术正被应用于破译已失传的古代语言，为长期困扰语言学家的难题提供新的解决思路。[1]Linear A是克里特岛米诺斯文明的青铜时代书写系统，因与任何已知活语言或死语言都缺乏确认的联系，被称为"语言孤立体"。[1]伊特鲁里亚语曾在罗马帝国崛起前的意大利使用，但其词汇多仅存于短葬礼铭文中，语法和深层含义至今仍未被语言学家掌握。[1]
古代语言的破译传统上依赖于特定的"锚点"，比如罗塞塔石碑这样包含已知语言翻译的双语文献，或与已知相关语言的联系。[1]然而许多失传语言因缺乏这类关键资料，使其破译工作陷入困境。人工智能技术的介入为这些语言孤立体的解读提供了新的可能性。[1]
Artificial intelligence is being explored as a tool to decode ancient languages that have long resisted traditional decipherment efforts.[1] Linear A, the writing system used by the Minoan civilization on Crete during the Bronze Age, represents a particularly vexing case for linguists—it is classified as a linguistic isolate because it has no confirmed connection to any known living or dead language.[1] Similarly, Etruscan, which was spoken in Italy before the rise of the Roman Empire, remains largely mysterious to scholars, with vocabulary drawn primarily from brief burial inscriptions and its grammar and deeper meanings still poorly understood.[1]
The fundamental obstacle in deciphering such ancient languages has historically been the absence of what linguists call an "anchor point"—typically a bilingual text like the Rosetta Stone or a documented relationship to a known language that can help unlock meaning.[1] The application of AI to this problem suggests a potential pathway forward for languages that have long resisted conventional linguistic analysis.