Cargando…
Restoring and attributing ancient texts using deep neural networks
Ancient history relies on disciplines such as epigraphy—the study of inscribed texts known as inscriptions—for evidence of the thought, language, society and history of past civilizations(1). However, over the centuries, many inscriptions have been damaged to the point of illegibility, transported f...
Autores principales: | Assael, Yannis, Sommerschield, Thea, Shillingford, Brendan, Bordbar, Mahyar, Pavlopoulos, John, Chatzipanagiotou, Marita, Androutsopoulos, Ion, Prag, Jonathan, de Freitas, Nando |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907065/ https://www.ncbi.nlm.nih.gov/pubmed/35264762 http://dx.doi.org/10.1038/s41586-022-04448-z |
Ejemplares similares
-
Compulsive gambling in ancient Indian texts
por: Bhide, Ajit V.
Publicado: (2007) -
Bridging ancient texts with modern science
Publicado: (2009) -
Diet in Ancient Tamil Medical Texts
por: Dorairajan, C.
Publicado: (1951) -
Modelling Speaker Attribution in Narrative Texts With Biased and Bias-Adjustable Neural Networks
por: Dönicke, Tillmann, et al.
Publicado: (2022) -
Meditation on OM: Relevance from ancient texts and contemporary science
por: Kumar, Sanjay, et al.
Publicado: (2010)