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 provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Hazm!