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Is UDA(for text classification) purely based on back-translation?
I wanted to augment labeled data for sentiment analysis of low resource language where there are no reasonable MT models to do back-translation. Is there a way to do that without using back-translation?
Thanks
You can also try a simpler data augmentation SwitchOut, which replace words with words randomly sampled from your vocabulary.