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Found 5 papers, 2 papers with code
Modeling Latent Sentence Structure in Neural Machine Translation
Recently it was shown that linguistic structure predicted by a supervised parser can be beneficial for neural machine translation (NMT).
Deep Generative Model for Joint Alignment and Word Representation
This work exploits translation data as a source of semantically relevant learning signal for models of word representation.
Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
We present a simple and effective approach to incorporating syntactic structure into neural attention-based encoder-decoder models for machine translation.
Multi30K: Multilingual English-German Image Descriptions
We introduce the Multi30K dataset to stimulate multilingual multimodal research.
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