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This repository has been archived by the owner on Oct 31, 2023. It is now read-only.
Indeed, in the last paper we didn't find any benefits using the discriminator. That being said, we didn't tune it very well, but I don't think it would make a big difference even if well tuned.
Hi,
It is clear that you used discriminator for the models in the paper
Unsupervised Machine Translation With Monolingual Data Only
.But do you also use it to obtain results for NMT models presented in
Phrase-Based & Neural Unsupervised Machine Translation
paper?From the code it seems like if
--n_dis
parameter equals 0 (which is default), the discriminator is not used. You found it to have no positive effect?Thanks!
Maksym
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