ckiplab/ckip-transformers
CKIP Transformers
This project offers tools to analyze Traditional Chinese text by breaking sentences into words, identifying parts of speech, and recognizing entities like names or locations. It takes raw Traditional Chinese text as input and outputs structured linguistic information. This is useful for computational linguists, researchers, or anyone building applications that need to understand Traditional Chinese.
765 stars. No commits in the last 6 months.
Use this if you need to perform advanced linguistic analysis on Traditional Chinese text, such as for research, information extraction, or building intelligent text processing systems.
Not ideal if your primary need is for Simplified Chinese or if you require a broader range of NLP tasks beyond segmentation, POS tagging, and named entity recognition out-of-the-box.
Stars
765
Forks
81
Language
Python
License
GPL-3.0
Category
Last pushed
Apr 21, 2023
Commits (30d)
0
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