Hazm is a natural language processing (NLP) library for Persian text, offering various tools for text preprocessing, tokenization, part-of-speech tagging, and more.
Features
- Supports Persian text tokenization and normalization
- Provides part-of-speech (POS) tagging and lemmatization
- Includes dependency parsing for Persian grammar analysis
- Supports named entity recognition (NER)
- Works with stemming and sentence segmentation
Project Samples
Categories
Natural Language Processing (NLP)License
MIT LicenseFollow Hazm
You Might Also Like
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Hazm!