Palimpsests refer to historical manuscripts where erased writings have been partially covered by the superimposition of a second writing. By employing imaging techniques, e.g., multispectral imaging, it becomes possible to identify features that are imperceptible to the naked eye, including faded and erased inks. When dealing with overlapping inks, Artificial Intelligence techniques can be utilized to disentangle complex nodes of overlapping letters. In this work, we propose deep learning-based semantic segmentation as a method for identifying and segmenting individual letters in overlapping characters. The experiment was conceived as a proof of concept, focusing on the palimpsests of the Ars Grammatica by Prisciano as a case study. Furthermore, caveats and prospects of our approach combined with multispectral imaging are also discussed.

When an apparently indecipherable manuscript from a lost language turns up, AI can help. But first, how is a language born and how does it die (or get lost)? We really don't know how human language was born; theories abound but all we know for sure is that it is unique. In a 2017 paper at BMC Biology, evolutionary biologist Mark Pagel states flatly, "Human language is unique among all forms of animal communication." Most ape sign language, for example, is concerned with requests for food.