HIT-SCIR/ltp

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

5259 stars · 1060 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

LTP (Language Technology Platform) is an open-source neural NLP toolkit for Chinese supporting word segmentation, POS tagging, NER, dependency parsing, semantic dependency parsing, and semantic role labeling via a shared multi-task pre-trained model. It offers Python and Rust packages, pre-trained models, and an optional server mode.

Use cases

• segment chinese text into words
• pos tagging for chinese sentences
• named entity recognition in chinese text
• dependency parsing of chinese sentences
• semantic role labeling for chinese
• chinese nlp pipeline for text analysis

When to choose

• you need accurate Chinese-specific lexical, syntactic, or semantic analysis
• you want a single multi-task model instead of one model per task
• you prefer a pip-installable Python toolkit with pretrained models

When to avoid

• you need multilingual NLP beyond Chinese
• you need a permissive license - the repo lists no license
• you only need general-purpose LLM features rather than classical NLP tasks

Facets

library · maturity active

nlp machine-learning parser machine-learning python rust cross-platform chinese-nlp word-segmentation pos-tagging dependency-parsing semantic-role-labeling named-entity-recognition multitask-learning natural-language-processing

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markdown · JSON · MCP: product_card(name="HIT-SCIR/ltp")