Droidtown/ArticutAPI

API of Articut 中文斷詞 (兼具語意詞性標記):「斷詞」又稱「分詞」,是中文資訊處理的基礎。Articut 不用機器學習,不需資料模型,只用現代白話中文語法規則,即能達到 SIGHAN 2005 F1-measure 94% 以上,Recall 96% 以上的成績。

61
/ 100
Established

This tool helps you break down Chinese text into individual words and identify their grammatical roles, like nouns, verbs, or adjectives. You input raw Chinese sentences or larger documents, and it outputs segmented text with detailed part-of-speech tags. This is ideal for anyone working with Chinese language data, such as researchers, linguists, or content analysts, who need to understand the structure and meaning within text.

414 stars. Available on PyPI.

Use this if you need to accurately segment Chinese text and assign semantic part-of-speech tags for natural language processing tasks, without relying on machine learning models.

Not ideal if your primary need is for advanced encyclopedic knowledge processing, as this tool focuses on linguistic structure rather than general factual knowledge.

Chinese language processing Text analysis Natural language understanding Information extraction Content analysis
Maintenance 10 / 25
Adoption 10 / 25
Maturity 25 / 25
Community 16 / 25

How are scores calculated?

Stars

414

Forks

38

Language

Python

License

MIT

Last pushed

Feb 10, 2026

Commits (30d)

0

Dependencies

2

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