roshan-research/hazm

Health v2 · maintenance only

Adoption not part of the score

1417 stars · 208 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Hazm is a Python library for natural language processing on Persian (Farsi) text, offering normalization, tokenization, stemming, lemmatization, POS tagging, dependency parsing, and embeddings. It integrates with Hugging Face Hub to automatically download and cache pretrained models.

Use cases

• normalize persian text
• tokenize farsi sentences and words
• lemmatize persian verbs and nouns
• pos tagging for persian text
• dependency parsing of persian sentences
• create persian word embeddings
• read persian corpora in python

When to choose

• you need Persian-specific NLP preprocessing in Python
• you want pretrained Persian models with automatic Hugging Face download
• you need to read popular Persian corpora with ready-made scripts

When to avoid

• you need multilingual NLP beyond Persian
• you work with Python versions older than 3.12
• you need a full end-to-end NLP pipeline with training tooling

Facets

library · maturity active

nlp parser machine-learning search-engine machine-learning developer-tools python cross-platform persian farsi tokenization lemmatization pos-tagging dependency-parsing embeddings text-normalization hugging-face natural-language-processing

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