What it does This repository houses the code companion to a Chinese-language NLP textbook. It walks beginners through ten chapters of progressively trickier tasks: Chinese word segmentation, POS tagging and NER, keyword extraction, syntactic parsing, text vectorization, sentiment analysis, and finally machine learning and deep learning methods applied to NLP problems. Each chapter is a self-contained code module meant for hands-on practice.

The interesting bit Most English-centric NLP courses assume spaces between words. This one doesn’t. The entire curriculum is built around Chinese text processing, where segmentation is itself a non-trivial first step rather than an afterthought.

Key highlights

• Chapter-by-chapter structure matching the book’s progression
• Covers both classical ML and deep learning approaches
• Explicitly targets beginners with “偏向实战” (practice-leaning) code
• Maintainers actively solicit issues and promise responsive fixes
• 1,042 stars suggest a modest but engaged learner community

Caveats

• The README warns this is a first edition with “不少小的问题” (quite a few small issues)
• No English documentation; Chinese language skills required
• No candidate images provided, so visual learners are out of luck

Verdict Worth bookmarking if you’re a Chinese-speaking developer starting your NLP journey and want code that maps cleanly to a structured curriculum. Skip it if you need polished, production-ready tools or don’t read Chinese.