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pyhanlp is a Python interface for HanLP (Han Language Processing) that lets you use a mature Java-based NLP toolkit from Python workflows without rebuilding the underlying algorithms. It is commonly used for Chinese-language NLP tasks where you want production-grade tokenization and linguistic analysis, but still want the convenience of Python scripting. The project focuses on making HanLP’s capabilities accessible through a Python-friendly API surface, so you can integrate NLP steps into data pipelines, notebooks, and downstream ML or information-extraction code. In practice, it serves as a bridge layer: Python calls are translated into the corresponding HanLP operations, so you can keep your application logic in Python while relying on HanLP’s implementations. It is especially useful when you need a pragmatic “get results quickly” NLP layer for segmentation, tagging, entity extraction, parsing, or keyword-style tasks rather than experimenting with model training from scratch.
Features
- Python-to-HanLP bridge for using Java NLP capabilities from Python
- Practical support for common Chinese NLP workflows (segmentation, tagging, entities, parsing)
- Designed to fit into Python scripts, notebooks, and data pipelines
- Leverages HanLP’s established algorithms and tooling rather than re-implementing them
- Useful for information extraction and linguistic preprocessing steps
- Intended as a productivity wrapper so you can prototype and ship faster
Project Samples
