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Machine Learning for Ancient Languages: A Survey
Thea Sommerschield, Yannis Assael, John Pavlopoulos et al., 2023.
What it's used for here
Computational Linguistics 49(3), 703-747. Open access. Surveys machine-learning work on ancient languages and documents how little exists for Etruscan: no open corpus until 2023 and no decipherment-style modelling.
Our copy
Research copy, for editors and curators. The work is the publisher's, so readers are sent to it. We keep this copy so the citation can be checked if the page changes or goes.
aclanthology.org · fetched 31 Oct 2026
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Cited by on this site 3 records
EVD
Etruscan: the readable language that cannot be fully translated
MYSThe mystery article
Cite it
Thea Sommerschield, Yannis Assael, John Pavlopoulos, Vanessa Stefanak, Andrew Senior, Chris Dyer, John Bodel, Jonathan Prag, Ion Androutsopoulos, & Nando de Freitas (2023). Machine Learning for Ancient Languages: A Survey. https://doi.org/10.1162/coli_a_00481
@article{sommerschield2023survey,
author = {Thea Sommerschield} and {Yannis Assael} and {John Pavlopoulos} and {Vanessa Stefanak} and {Andrew Senior} and {Chris Dyer} and {John Bodel} and {Jonathan Prag} and {Ion Androutsopoulos} and {Nando de Freitas},
title = {Machine Learning for Ancient Languages: A Survey},
year = {2023},
doi = {10.1162/coli_a_00481},
url = {https://aclanthology.org/2023.cl-3.5/}
}TY - JOUR TI - Machine Learning for Ancient Languages: A Survey AU - Thea Sommerschield AU - Yannis Assael AU - John Pavlopoulos AU - Vanessa Stefanak AU - Andrew Senior AU - Chris Dyer AU - John Bodel AU - Jonathan Prag AU - Ion Androutsopoulos AU - Nando de Freitas PY - 2023 DO - 10.1162/coli_a_00481 UR - https://aclanthology.org/2023.cl-3.5/ ER -
et al.. “Machine Learning for Ancient Languages: A Survey.” 2023. https://doi.org/10.1162/coli_a_00481.