rockyzhengwu/FoolNLTK

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1678 stars · 387 forks observed · 2026-08-28

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

FoolNLTK is a Python toolkit for Chinese natural language processing built on a BiLSTM model. It provides high-accuracy word segmentation, part-of-speech tagging, and named entity recognition, with support for user-defined dictionaries and custom model training.

Use cases

• segment chinese text into words
• tag parts of speech in chinese sentences
• extract named entities like locations from chinese text
• add custom words to a chinese tokenizer dictionary
• train a custom chinese nlp model
• batch process chinese text files

When to choose

• you need accurate chinese word segmentation rather than the fastest
• you need pos tagging and ner for chinese in one toolkit
• you want to train or fine-tune your own chinese nlp model

When to avoid

• you need windows or non-python-3 support
• you need actively maintained software with recent updates
• you need the fastest possible segmentation speed

Facets

library · maturity maintenance

nlp machine-learning machine-learning localization python chinese-word-segmentation part-of-speech-tagging named-entity-recognition bilstm user-dictionary natural-language-processing linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="rockyzhengwu/FoolNLTK")