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Is UDA(for text classification) purely based on back-translation?

Open abrhaleitela opened this issue 4 years ago • 1 comments

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

abrhaleitela avatar Oct 16 '19 18:10 abrhaleitela

You can also try a simpler data augmentation SwitchOut, which replace words with words randomly sampled from your vocabulary.

michaelpulsewidth avatar Oct 18 '19 01:10 michaelpulsewidth