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Add benefits section for spacy-persian 

Added section highlighting the benefits of spacy-persian.
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Kiyarash Fazeli 2026-08-11 11:56:21 +03:30 committed by GitHub
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@ -21,6 +21,14 @@ pip install https://huggingface.co/Phazel/fa_core_news_sm/resolve/main/fa_core_n
[('ایران خودرو', 'ORG'), ('۲۰ درصد', 'PCT')]
```
## Why spacy-persian?
- **⚡ Performance** – **96.24%** POS · **97.91%** Lemma · **85.15%** LAS – competitive with English `en_core_web_sm` on syntax.
- **🚀 Speed** – ~9,250 words/sec on a standard CPU. No GPU required.
- **📦 Flexibility** – Choose `fa_core_news_sm` (13MB, syntax + NER) or `fa_dep_news_sm` (7.5MB, syntax-only).
- **🔁 Reproducibility** – Checksummed, versioned builds from UD_Persian-PerDT – no black boxes.
- **🔌 Native spaCy** – Drop-in replacement. `spacy.load()` works instantly with standard `Doc` objects.
-
## Results
From `spacy benchmark accuracy`, stored in `metrics/`.