# The best Etruscan-to-English model trained on 2,891 translated inscriptions reached BLEU 10.1.

> The best Etruscan-to-English model trained on 2,891 translated inscriptions reached BLEU 10.1.

Source: https://mysteriesdept.com/mysteries/etruscan-language/evidence/EVD0DEECND3S6S0/the-best-etruscan-to-english-model-trained-on-2-891  
Publisher: Mysteries Department  
Licence: CC BY 4.0 (credit Mysteries Department and link the page)  

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

Evidence · Etruscan: the readable language that cannot be fully translated

# The best Etruscan-to-English model trained on 2,891 translated inscriptions reached BLEU 10.1.

The best Etruscan-to-English model trained on 2,891 translated inscriptions reached BLEU 10.1.

Supported0

## What it means

Key question[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)

2 answers, none ahead yet

**Open** unchanged

Answer this evidence bears on[Machine-learning translation trained on the existing translated inscriptions cannot go beyond the formulae that are…](https://mysteriesdept.com/mysteries/etruscan-language/answers/ANS0DEEBGH0MHWY/machine-learning-translation-trained-on-the-existing)

Supports1 for, none against

**Still possible** unchanged

## Next steps 1

1

Run a distributional (co-occurrence and position) analysis over the Larth/OpenEtruscan corpora restricted to pre-1991 ET texts, propose meanings for frequent unglossed words, and score them on the c. 1,100 texts added in ET 2014 as a held-out set.

~20 h

[On: 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)

**—** not judged

Ranked by how likely each is to move the key question, for the time it takes

## Sources 2

[Larth: Dataset and Machine Translation for Etruscan](https://mysteriesdept.com/sources/SRC0DEDNJJ091N0/larth-dataset-and-machine-translation-for-etruscan)

Vico 2023

SRC

[Machine Learning for Ancient Languages: A Survey](https://mysteriesdept.com/sources/SRC0DEDPBJZJP96/machine-learning-for-ancient-languages-a-survey)

Sommerschield et al. 2023

SRC

## Cite it

```
Mysteries Department. (2026). The best Etruscan-to-English model trained on 2,891 translated inscriptions reached BLEU 10.1. [Evidence EVD0DEECND3S6S0]. https://mysteriesdept.com/r/EVD0DEECND3S6S0
```

Key

**EVD** 0DEECND3S6S0

Kind

Evidence

Tier

Supported

Version

1

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

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