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

Transliteration from already-digitised Unicode signs reaches 96.7 per cent with a BiLSTM, far above any reported…

Transliteration from already-digitised Unicode signs reaches 96.7 per cent with a BiLSTM, far above any reported photograph-based sign accuracy, so the gap lies before the transliteration stage.

Supported0

What it means

Openunchanged
Answer this evidence bears onThe bottleneck is sign detection, not translation
Supports3 for, none against
Still possibleunchanged

Next steps 5

1
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
—not judged
2
Run the genre-transfer test of Akkadian NMT on Old Babylonian letters and Ur III texts.
~16 h
—not judged
3
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
—not judged
4
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
—not judged
Ranked by how likely each is to move the key question, for the time it takesAll 5 on the question

Sources 1

Cite it

Mysteries Department. (2026). Transliteration from already-digitised Unicode signs reaches 96.7 per cent with a BiLSTM, far above any reported… [Evidence EVD0DEDXPP57XVA]. https://mysteriesdept.com/r/EVD0DEDXPP57XVA
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