kajyuuen/daaja
This repository has implementations of data augmentation for NLP for Japanese.
This tool helps Japanese NLP practitioners expand their limited datasets for tasks like text classification and named entity recognition. It takes Japanese sentences or sequences of words with their labels as input and generates variations by swapping, inserting, deleting, or replacing words with synonyms. This is for data scientists or machine learning engineers working with Japanese text who need more data to train robust models.
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Use this if you are building machine learning models for Japanese text and need to artificially increase the size and diversity of your training data.
Not ideal if you are working with languages other than Japanese, or if you already have a very large and diverse dataset.
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Python
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Last pushed
Feb 16, 2023
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