Contextualizing ancient texts with generative neural networks
- DOI
- 10.1038/s41586-025-09292-5
- Published
- 2025-07-23
- Container
- Nature
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41586-025-09292-5,
title = {Contextualizing ancient texts with generative neural networks},
author = {Yannis Assael and Thea Sommerschield and Alison Cooley and Brendan Shillingford and John Pavlopoulos and Priyanka Suresh and Bailey Herms and Justin Grayston and Benjamin Maynard and Nicholas Dietrich and Robbe Wulgaert and Jonathan Prag and Alex Mullen and Shakir Mohamed},
year = {2025},
journal = {Nature},
doi = {10.1038/s41586-025-09292-5},
url = {https://doi.org/10.1038/s41586-025-09292-5}
}RIS
TY - JOUR TI - Contextualizing ancient texts with generative neural networks AU - Yannis Assael AU - Thea Sommerschield AU - Alison Cooley AU - Brendan Shillingford AU - John Pavlopoulos AU - Priyanka Suresh AU - Bailey Herms AU - Justin Grayston AU - Benjamin Maynard AU - Nicholas Dietrich AU - Robbe Wulgaert AU - Jonathan Prag AU - Alex Mullen AU - Shakir Mohamed PY - 2025 JO - Nature DO - 10.1038/s41586-025-09292-5 UR - https://doi.org/10.1038/s41586-025-09292-5 ER -
APA
Assael, Y., Sommerschield, T., Cooley, A., Shillingford, B., Pavlopoulos, J., Suresh, P., Herms, B., Grayston, J., Maynard, B., Dietrich, N., Wulgaert, R., Prag, J., Mullen, A., & Mohamed, S. (2025). Contextualizing ancient texts with generative neural networks. Nature. https://doi.org/10.1038/s41586-025-09292-5
Source records
- crossref · retrieved 2026-09-26T08:16:30.083Z