Papers by Lesly Miculicich Werlen
Self-Attentive Residual Decoder for Neural Machine Translation (N18-1)
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| Challenge: | Neural sequence-to-sequence networks with attention have been used for machine translation . however, the target-side context is limited and the model lacks the ability to capture non-syntactic dependencies among words. |
| Approach: | They propose a sequence-to-sequence network with attention that captures contextual information at each time-step prediction through an attention mechanism. |
| Outcome: | The proposed model outperforms a neural MT baseline and memory and self-attention network on three language pairs. |