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Moment Matching Training for Neural Machine Translation: A Preliminary Study
In previous works, neural sequence models have been shown to improve significantly if external prior knowledge can be provided, for instance by allowing the model to access the embeddings of explicit features during both training and inference.
Improved Neural Machine Translation using Side Information
In this work, we investigate whether side information is helpful in neural machine translation (NMT).
Towards Decoding as Continuous Optimisation in Neural Machine Translation
We propose a novel decoding approach for neural machine translation (NMT) based on continuous optimisation.
Towards Decoding as Continuous Optimization in Neural Machine Translation
We propose a novel decoding approach for neural machine translation (NMT) based on continuous optimisation.
Incorporating Structural Alignment Biases into an Attentional Neural Translation Model
Neural encoder-decoder models of machine translation have achieved impressive results, rivalling traditional translation models.
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