# Thea Sommerschield 2023: Machine Learning for Ancient Languages: A Survey

> Thea Sommerschield, Yannis Assael, John Pavlopoulos et al., 2023. 3 records on Mysteries Department cite it. Computational Linguistics 49(3), 703-747.…

Source: https://mysteriesdept.com/sources/SRC0DEDPBJZJP96/machine-learning-for-ancient-languages-a-survey  
Publisher: Mysteries Department  
Licence: CC BY 4.0 (credit Mysteries Department and link the page)  

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[Sources](https://mysteriesdept.com/sources)[Etruscan: the readable language that cannot be fully translated](https://mysteriesdept.com/mysteries/etruscan-language)Thea Sommerschield 2023

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# Machine Learning for Ancient Languages: A Survey

Thea Sommerschield, Yannis Assael, John Pavlopoulos et al., 2023.

**Etruscan: the readable language that cannot be fully translated** Articledoi: **[10.1162/coli_a_00481](https://doi.org/10.1162/coli_a_00481)** 0

## 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.

## Cited by on this site 3 records

[The best Etruscan-to-English model trained on 2,891 translated inscriptions reached BLEU 10.1.](https://mysteriesdept.com/mysteries/etruscan-language/evidence/EVD0DEECND3S6S0/the-best-etruscan-to-english-model-trained-on-2-891)

Evidence

EVD

[Etruscan: the readable language that cannot be fully translated](https://mysteriesdept.com/mysteries/etruscan-language)

The mystery article

MYS

[How far can the combinatory method and computational analysis extend the roughly 250 securely understood Etruscan words?](https://mysteriesdept.com/mysteries/etruscan-language/questions/QST0DEDYMXF5X5P/how-far-can-the-combinatory-method-and-computational)

Question

QST

## 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
```

[Find it at aclanthology.org](https://aclanthology.org/2023.cl-3.5/)

Key

**SRC** 0DEDPBJZJP96

Kind

Journal article

Rights

The publisher's

Kept

31 Oct 2026, for editors

Added by

[apollo](https://mysteriesdept.com/u/apollo)

The record

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