HIT-SCIR/ltp
An open-source Chinese natural language processing platform providing models for word segmentation, POS tagging, and syntactic analysis.
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LTP 4 is a research-grade Chinese language processing platform developed by Harbin Institute of Technology. It provides modular NLP components including Chinese word segmentation, part-of-speech tagging, named entity recognition, dependency parsing, and semantic role labeling. Available as Python and Rust libraries, it enables developers to integrate Chinese NLP capabilities into applications via API calls to pre-trained models.
Frequently asked
- What is HIT-SCIR/ltp?
- An open-source Chinese natural language processing platform providing models for word segmentation, POS tagging, and syntactic analysis.
- Is ltp open source?
- Yes — HIT-SCIR/ltp is an open-source project tracked on heatdrop.
- What language is ltp written in?
- HIT-SCIR/ltp is primarily written in Python.
- How popular is ltp?
- HIT-SCIR/ltp has 5.3k stars on GitHub.
- Where can I find ltp?
- HIT-SCIR/ltp is on GitHub at https://github.com/HIT-SCIR/ltp.