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This work proposes the use of the target-side data throughout the back-translation approach to improve both the backward and forward models. We explored using only the target-side monolingual data to improve the backward model through forward translation and the forward model through back-translation.
This work proposes a self-training strategy where the output of the backward model is used to improve the backward model through forward translation and the forward model through back-translation.