22 citations · 60 across the 10 of their papers we have counts for
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A Latent Morphology Model for Open-Vocabulary Neural Machine Translation
Duygu Ataman, Wilker Aziz, Alexandra Birch
Translation into morphologically-rich languages challenges neural machine translation (NMT) models with extremely sparse vocabularies where atomic treatment of surface forms is unr…
Block Neural Autoregressive Flow
Nicola De Cao, Ivan Titov, Wilker Aziz
Normalising flows (NFS) map two density functions via a differentiable bijection whose Jacobian determinant can be computed efficiently. Recently, as an alternative to hand-crafted…
Effective Estimation of Deep Generative Language Models
Tom Pelsmaeker, Wilker Aziz
Advances in variational inference enable parameterisation of probabilistic models by deep neural networks. This combines the statistical transparency of the probabilistic modelling…
Modeling Latent Sentence Structure in Neural Machine Translation
Jasmijn Bastings, Wilker Aziz, Ivan Titov +1
Recently it was shown that linguistic structure predicted by a supervised parser can be beneficial for neural machine translation (NMT). In this work we investigate a more challeng…