AI Revives 3,000-Year-Old Babylonian Poem Lost for Millennia

July 2, 2025
AI Revives 3,000-Year-Old Babylonian Poem Lost for Millennia
  • Researchers from Ludwig Maximilian University and the University of Baghdad have successfully reconstructed a 3,000-year-old Babylonian poem known as the Hymn of Babylon, which had been lost for over 2,000 years.

  • The hymn, praising Babylon and its god Marduk, was last studied around 100 BC and has been reconstructed from 30 clay fragments using advanced AI techniques.

  • A specialized AI program was utilized to analyze and match cuneiform text fragments, indicating that they belonged to a single text.

  • The reconstruction method involved n-gram matching, vocabulary overlapping, and searching for longest common strings of text, with the project drawing on resources from the Electronic Babylonian Library Platform containing 1,402 manuscripts.

  • The researchers have restored about two-thirds of the hymn's original length, revealing a lost classic of Mesopotamian literature.

  • The hymn highlights the importance of Babylon's natural resources and beauty, and includes themes of social justice, such as the acceptance of foreigners and support for the poor.

  • It describes a verdant paradise and a flourishing Babylon, emphasizing its cultural and spiritual significance.

  • The city is characterized as socially charitable, protecting the weak and supporting the poor, reflecting a bittersweet memory of Babylon's past glories.

  • The researchers suggest the likely author was part of Babylon's priestly class, as the poem describes priests as the 'free citizens' of Babylon.

  • The poem's structure suggests it was authored by a single individual, distinct from composite works like the Epic of Gilgamesh.

  • The complete work is published in the journal Iraq by Jiménez and Anmar A Fadhil.

  • The use of AI in reconstructing ancient texts is becoming increasingly common, with researchers advocating for improved computational tools for ancient Near Eastern studies.

Summary based on 2 sources


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