zhanlaoban/EDA_NLP_for_Chinese

Health v2 · maintenance only

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1382 stars · 236 forks observed · 2026-08-28

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

A Python implementation of the EDA (Easy Data Augmentation) paper adapted for Chinese text corpora. It augments labeled text classification datasets via synonym replacement, random insertion, random swap, and random deletion using jieba segmentation and Chinese synonym/stopword resources.

Use cases

• augment a small Chinese text classification training set
• generate synthetic Chinese sentences with synonym replacement
• expand labeled corpus for training a text classifier
• apply random swap and deletion to Chinese sentences
• boost text classification accuracy with limited data

When to choose

• you need data augmentation for Chinese-language text classification
• you want a simple CLI tool following the EDA paper
• your corpus is small and classifier overfits

When to avoid

• your text is not Chinese (use the original eda_nlp)
• you need context-aware or neural augmentation
• you need an actively maintained library with a license

Facets

library · maturity maintenance

nlp data-generation machine-learning machine-learning localization python cli data-augmentation easy-data-augmentation chinese-nlp text-classification synonym-replacement natural-language-processing

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