Hazm

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Hazm is an Open Source & Models tool that provides a Python library for natural language processing tasks on Persian text. It offers features like text normalization, tokenization, lemmatization, and POS tagging.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is hazm?

Hazm is a comprehensive Python library specifically designed for natural language processing (NLP) tasks on Persian text. It enables developers and researchers to perform a wide array of text processing functions, including normalizing text by correcting diacritics and ZWNJ, tokenizing sentences and words, and lemmatizing words to their base forms. The library also supports advanced NLP capabilities such as part-of-speech (POS) tagging, dependency parsing to identify syntactic relations, and creating both word and sentence embeddings. Hazm integrates with Hugging Face, allowing for automatic downloading and caching of pretrained models, making it a powerful tool for anyone working with Persian language data.

Best used for

Ideal for developers and data scientists who need to perform natural language processing on Persian text, including tasks like text cleaning, linguistic analysis, and feature extraction. Especially valuable for researchers and engineers building applications that require deep understanding of the Persian language.

Common actions

process Persian text

analyze Persian language

build NLP models

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Capabilities

Key features

Persian text normalization
Sentence tokenization
Word lemmatization
Part-of-speech tagging
Dependency parsing
Word embeddings
Hugging Face integration

Target Audience

developerdata scientist

Integrations

hugging-face

Pricing & Plans

Open Source

Free

FAQs

What are the core NLP capabilities Hazm offers for Persian text?

Hazm provides a range of core NLP capabilities including text normalization, sentence and word tokenization, lemmatization, part-of-speech tagging, and dependency parsing. It also supports the creation of word and sentence embeddings for deeper semantic analysis.

Does Hazm support pretrained models for its NLP tasks?

Yes, Hazm supports automatic downloading and caching of pretrained models from Hugging Face. Users can specify the repository ID and model filename, and the library handles the rest for tasks like POS tagging, chunking, and embeddings.

What Python versions are compatible with Hazm?

To install the latest version of Hazm, Python 3.12+ is required. Users should ensure their Python environment meets this requirement for optimal compatibility and access to the newest features.

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Also listed in

This tool also appears in

AI Agents & Automation › RAG & Document AI Content & Design › Translation & Localization

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