22 citations · 60 across the 10 of their papers we have counts for
4 papers · 1 filter
Latent Variable Model for Multi-modal Translation
Iacer Calixto, Miguel Rios, Wilker Aziz
In this work, we propose to model the interaction between visual and textual features for multi-modal neural machine translation (MMT) through a latent variable model. This latent…
Auto-Encoding Variational Neural Machine Translation
Bryan Eikema, Wilker Aziz
We present a deep generative model of bilingual sentence pairs for machine translation. The model generates source and target sentences jointly from a shared latent representation…
A Stochastic Decoder for Neural Machine Translation
Philip Schulz, Wilker Aziz, Trevor Cohn
The process of translation is ambiguous, in that there are typically many valid trans- lations for a given sentence. This gives rise to significant variation in parallel cor- pora,…
Deep Generative Model for Joint Alignment and Word Representation
Miguel Rios, Wilker Aziz, Khalil Sima'an
This work exploits translation data as a source of semantically relevant learning signal for models of word representation. In particular, we exploit equivalence through translatio…