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AI for Historical Textual Analysis

1 post · Jul 2025

What this trail covers

Aeneas is an AI model for contextualizing ancient inscriptions, designed to help historians interpret, attribute, and restore fragmentary texts. It reasons across thousands of Latin inscriptions, retrieving textual and contextual parallels in seconds. It can also process multimodal input (text and images) to determine geographical provenance and restore gaps of unknown length. The model sets new benchmarks in restoring damaged texts and predicting when and where they were written. The Ithaca model is upgraded to be powered by Aeneas and include the contextualization function, restorations of unknown length and better performance overall.

All DeepMind trails
  1. Aeneas transforms how historians connect the pastIntroduces Aeneas, a multimodal generative neural network for contextualizing ancient inscriptions. It uses a transformer-based decoder and specialized networks for text restoration, dating, and geographical attribution using images. The model retrieves parallels using embeddings, encoding textual and contextual information into a historical fingerprint. It achieves state-of-the-art performance in restoring damaged texts (73% Top-20 accuracy for known length gaps, 58% for unknown length) and dating (within 13 years of historian estimates). It also demonstrates accurate geographical attribution to ancient Roman provinces (72% accuracy). The post details a collaborative study with historians showing Aeneas accelerates work and increases confidence in epigraphic tasks.