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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Deep learning of cuneiform sign detection with weak supervision using transliteration alignment.

Tobias Dencker1, Pablo Klinkisch1, Stefan M Maul2

  • 1Heidelberg Collaboratory for Image Processing, Interdisciplinary Center for Scientific Computing, Heidelberg University, Heidelberg, Germany.

Plos One
|December 16, 2020
PubMed
Summary

We developed a deep-learning sign detector to read cuneiform script from clay tablets. This method uses existing transliterations to train the detector, simplifying ancient text analysis.

Area of Science:

  • Digital Humanities
  • Computer Vision
  • Assyriology

Background:

  • Cuneiform script offers insights into ancient history but is challenging to decipher.
  • Manual analysis of cuneiform tablets is time-consuming and requires specialized training.

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