quincyliang/nlp-data-augmentation
Data Augmentation for NLP. NLP数据增强
When working with text data for AI models, you often don't have enough examples to train effectively. This project helps you create more varied text samples from your existing data using techniques like synonym replacement, word shuffling, and translation. It's for data scientists, machine learning engineers, and NLP practitioners who need to expand their datasets to build more robust language models.
294 stars. No commits in the last 6 months.
Use this if you have a limited text dataset and need to generate more training examples to improve your natural language processing models.
Not ideal if you're looking for tools to collect entirely new, original text data rather than augmenting existing samples.
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Dec 10, 2020
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