---
license: other
license_name: mixed-see-below
license_link: https://github.com/ebrinz/hyper-glyphy
pretty_name: hyper-glyphy trained artifacts
tags:
  - embeddings
  - fasttext
  - ancient-languages
  - sumerian
  - akkadian
  - hittite
  - greek
  - egyptian
  - sanskrit
  - cross-lingual-alignment
---

# hyper-glyphy — trained artifacts mirror

Companion artifact store for [github.com/ebrinz/hyper-glyphy](https://github.com/ebrinz/hyper-glyphy):
cross-lingual word-embedding alignment for six ancient languages (Sumerian,
Akkadian, Hittite, Ancient Greek, Egyptian, Sanskrit) into GloVe 300d and
whitened-EmbeddingGemma 768d English spaces.

Everything here is **computed output** of the pipelines in the GitHub repo,
mirrored so results can be reproduced exactly without retraining (FastText
training is non-deterministic, so retrained vectors differ slightly from the
published numbers). Raw third-party corpora are NOT included — each slot's
README in the GitHub repo documents the fetch steps (DCS, Diorisis, ORACC,
ETCSL, TLHdig, Cologne CDSL, etc.).

## Layout

Mirrors the GitHub repo's gitignored paths:

```
shared/models/                      English caches: EmbeddingGemma 768d (gloss/bare,
                                    raw + whitened) and whitening transforms
languages/<slot>/models/            FastText model + .vec, fused 1536d npz,
                                    Ridge weights, Procrustes maps
languages/<slot>/data/processed/    merged/cleaned corpora (per-text doc IDs),
                                    english_anchors.json, anchor stats
languages/<slot>/data/dictionaries/ derived gloss lexica (LSJ, Monier-Williams)
languages/<slot>/results/           alignment results + eval-suite artifacts
languages/<slot>/final_output/      production aligned vectors + vocab
```

Note: in `akkadian/greek/hittite/sumerian`, FastText files carry the legacy
name `fasttext_sumerian.*` (cloned script kept the output filename); Sanskrit
and Egyptian use their own slot names.

## Reproducing

```bash
git clone https://github.com/ebrinz/hyper-glyphy
cd hyper-glyphy
hf download ebrinz/hyper-glyphy-artifacts --repo-type dataset --local-dir .
# then e.g.:
python languages/sanskrit/scripts/09b_align_gemma.py --mode whitened
python shared/scripts/procrustes_align.py --slot sanskrit
```

The English GloVe cache (`glove.6B.300d.txt`, Stanford NLP, PDDL) ships under
`languages/sumerian/data/processed/`; other slots reference it — recreate the
symlinks or copy it (see each slot README).

## Licensing (mixed — per source)

- **Trained vectors, weights, maps, results** (our computation): CC BY 4.0.
- **Sanskrit-derived files** (`languages/sanskrit/data/dictionaries/mw_glosses.json`,
  `english_anchors.json` and downstream anchors): derived from the Cologne CDSL
  digitization of Monier-Williams (1899), **CC BY-NC-SA 3.0** — non-commercial,
  share-alike, attribution: The Sanskrit Library / Thomas Malten / Universität zu Köln.
  Sanskrit corpora derive from the Digital Corpus of Sanskrit (Oliver Hellwig), CC BY 4.0.
- **Greek-derived gloss files**: from Perseus LSJ (CC BY-SA 4.0, Perseus Digital Library).
- **Other slots' processed corpora**: derived from ORACC / ETCSL / TLHdig / Diorisis /
  TLA — see the GitHub repo's per-slot READMEs for source attributions.
- `glove.6B.300d.txt`: Stanford GloVe, Public Domain Dedication and License v1.0.

If you use these artifacts, cite the underlying sources per slot (see GitHub READMEs).