fazel
/
spacy-fa-pipeline
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Update README.md

This commit is contained in:
Kiyarash Fazeli 2026-08-11 13:52:50 +03:30 committed by GitHub
parent 621be65956
commit d5fadb07f0
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 17 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

22
README.md
View File

@ -29,13 +29,25 @@ pip install https://huggingface.co/Phazel/fa_core_news_sm/resolve/main/fa_core_n
- **🔁 Reproducibility** – Checksummed, versioned builds from UD_Persian-PerDT – no black boxes. - **🔁 Reproducibility** – Checksummed, versioned builds from UD_Persian-PerDT – no black boxes.
- **🔌 Native spaCy** – Drop-in replacement. `spacy.load()` works instantly with standard `Doc` objects. - **🔌 Native spaCy** – Drop-in replacement. `spacy.load()` works instantly with standard `Doc` objects.
- -
## Results ## Results
From `spacy benchmark accuracy`, stored in `metrics/`. `spacy-persian` delivers production‑ready Persian NLP that stands alongside Hazm—the most popular Persian toolkit—while bringing the full power of the spaCy ecosystem.
| Package | Components | Licence | Score | Wheel |
| --- | --- | --- | --- | --- | | Metric | **`spacy-persian`**<br>`fa_core_news_sm` | **Hazm**<br>(Persian toolkit) | `en_core_web_sm`<br>(English reference) |
| `fa_dep_news_sm` | tok2vec, tagger, morphologizer, trainable_lemmatizer, parser | CC BY-SA 4.0 | LEMMA 97.91 | 7.5 MB | |--------|:---:|:---:|:---:|
| `fa_core_news_sm` | the above plus ner | CC BY-SA 4.0 | ENTS_F 71.87 | 13 MB | | **POS Accuracy (UPOS)** | **96.24%** | ~95.69%¹ | 97.21%² |
| **Lemma Accuracy** | **97.91%** | 89.9%¹ | — |
| **Dependency LAS** | 85.15% | 85.6%¹ | 91.85%² |
| **NER F-score** | 71.87% | — | 83.80%² |
| **Package Size** | **13 MB** (syntax+NER)<br>**7.5 MB** (syntax-only) | ~7 MB | 12 MB |
> **¹** Hazm scores from its official README
> **²** `en_core_web_sm` scores from spaCy's official model card
> ⚠️ **Note on comparability:** These benchmarks come from *different evaluation sets, treebanks, and test splits*.
| Metric | Score | Reference | | Metric | Score | Reference |
| --- | --- | --- | | --- | --- | --- |