shibing624/pycorrector

Health v2 · maintenance only

Adoption not part of the score

6515 stars · 1161 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

pycorrector is a Python toolkit for Chinese text error correction, supporting phonetic, visual, and grammar error types with models including Kenlm, MacBERT, T5, ChatGLM3, and Qwen2.5. It offers ready-to-use correctors and pretrained models for spelling and grammar correction tasks.

Use cases

• correct spelling errors in chinese text
• fix grammar mistakes in chinese sentences
• proofread text from pinyin input or speech recognition
• correct ocr output with similar-looking character errors
• correct search engine queries
• fine-tune llm models for chinese text correction

When to choose

• you need chinese-specific spelling and grammar correction out of the box
• you want to compare or swap multiple correction models (kenlm, bert-based, llm-based)
• you need pretrained chinese correction models from huggingface

When to avoid

• you need error correction for non-chinese languages
• you need a lightweight spell checker without ml model dependencies
• you cannot run gpu inference for the llm-based correctors

Facets

library · maturity active

nlp machine-learning llm-inference parser large-language-models machine-learning python cross-platform text-correction chinese-nlp spell-check grammar-correction macbert kenlm t5 qwen natural-language-processing

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