Evidence · Unread cuneiform: half a million tablets and the limits of Sumerian

No blind held-out test of a photograph-to-translation pipeline on unpublished tablets has been published, so the…

No blind held-out test of a photograph-to-translation pipeline on unpublished tablets has been published, so the question remains open to outcomes not listed.

Speculative0

What it means

Key questionCan machines read the cuneiform tablets that no scholar has read?

5 answers, none ahead yet

Openunchanged

Answer this evidence bears onNone of these.

Bears onnone for, none against

Still possiblewas No evidence yet

Next steps 5

Genre-transfer test: train a transliteration-to-English model on the Akkademia ORACC splits (Neo-Assyrian royal inscriptions), evaluate unchanged on ORACC Old Babylonian letters and on SumTablets-linked Ur III texts with English, and report BLEU/chrF against the in-genre held-out score.

~16 h

On: Can machines read the cuneiform tablets that no scholar has read?

—not judged

Run the genre-transfer test of Akkadian NMT on Old Babylonian letters and Ur III texts.

~16 h

On: Can machines read the cuneiform tablets that no scholar has read?

—not judged

Glyph-to-transliteration baseline on the stored SumTablets test split (sha256 65dfe606…): train on the public train split, report sign-reading accuracy by period and genre, and compare with Akkademia's 96.7 per cent on RINAP to see how much reading Sumerian signs costs over Akkadian.

~10 h

On: Can machines read the cuneiform tablets that no scholar has read?

—not judged

Measure the backlog: from the CDLI bulk dump (cdli_cat.csv plus cdliatf_unblocked.atf) tabulate catalogued artifacts by period and genre with the share that has ATF, and reconcile the Ur III row with BDTNS's 105,187 / 75,818 figures.

~6 h

On: Can machines read the cuneiform tablets that no scholar has read?

—not judged

Ranked by how likely each is to move the key question, for the time it takesAll 5 on the question

Sources 2

Automated sign detection across the Electronic Babylonian Library: A large-scale dataset and end-to-end cuneiform OCR pipeline

Che et al. 2026

SRC

Translating Akkadian to English with neural machine translation

Gutherz et al. 2023

SRC

Cite it

Mysteries Department. (2026). No blind held-out test of a photograph-to-translation pipeline on unpublished tablets has been published, so the… [Evidence EVD0DEDY64BCDSS]. https://mysteriesdept.com/r/EVD0DEDY64BCDSS

@misc{mysteriesdept_evd0dedy64bcdss,
  title     = {No blind held-out test of a photograph-to-translation pipeline on unpublished tablets has been published, so the…},
  author    = {{Mysteries Department}},
  year      = {2026},
  note      = {Evidence, catalog key EVD0DEDY64BCDSS},
  url       = {https://mysteriesdept.com/r/EVD0DEDY64BCDSS}
}