thunlp/THULAC-Python

Health v2 · maintenance only

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2085 stars · 332 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

THULAC is a Chinese lexical analysis toolkit from Tsinghua University's NLP lab that performs Chinese word segmentation and part-of-speech tagging. It offers a Python library and command-line interface, trained on a large manually annotated corpus with high accuracy and fast processing speeds.

Use cases

• segment chinese text into words
• part-of-speech tagging for chinese sentences
• batch tokenize a text file of chinese content
• preprocess chinese text for nlp pipelines
• convert traditional chinese to simplified before segmentation
• apply a custom user dictionary during chinese tokenization

When to choose

• you need fast, accurate chinese word segmentation with pos tagging in python
• you want a battle-tested tokenizer with a large trained model
• you need command-line batch segmentation of chinese text files

When to avoid

• you need segmentation for languages other than chinese
• you require actively maintained software with recent updates
• you need deep learning based or transformer-based tokenization

Facets

library · maturity maintenance

nlp parser python cross-platform cli chinese-word-segmentation part-of-speech-tagging lexical-analysis tokenization natural-language-processing chinese-nlp text-processing

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