Mysteries Department
Sign inRequest access
Answer · Unread cuneiform: half a million tablets and the limits of Sumerian

Machine translation scales to the backlog

Neural machine translation already gives usable drafts for well-edited genres and will scale to the unread backlog as training data grows.

Still possibleAnswers 1 question0

Where it stands

Still possibleTwo pieces of evidence for, one against. It needs two reviews to be accepted.

What it predicts

  • A model trained on Neo-Assyrian royal inscriptions, applied to Old Babylonian letters or Ur III accounts with no fine-tuning, keeps most of its BLEU score.
  • BLEU on a genuinely unpublished test set transliterated after the fact is within a few points of the published held-out score.

What would rule it out

  • Cross-genre BLEU falls below the translation-memory baseline.
  • Expert review of translations of unpublished tablets finds that most contain at least one hallucinated clause.

Evidence 2 for · 1 against

The questions it answers

Cite it

Mysteries Department. (2026). Machine translation scales to the backlog [Answer ANS0DEDW61E16Z8]. https://mysteriesdept.com/r/ANS0DEDW61E16Z8
Private beta Downloads are for beta members

We're in a private beta while we get things right. Everything here is free to read; downloading datasets, sources and code is open to members for now.

It takes a couple of minutes. We'll reply by email.