Variational Neural Machine Translation with Normalizing Flows

ACL 2020 Hendra SetiawanMatthias SperberUdhay NallasamyMatthias Paulik

Variational Neural Machine Translation (VNMT) is an attractive framework for modeling the generation of target translations, conditioned not only on the source sentence but also on some latent random variables. The latent variable modeling may introduce useful statistical dependencies that can improve translation accuracy... (read more)

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