Papers by Carles Creus

1 papers
Context-Aware Neural Machine Translation Decoding (D19-65)

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Challenge: Existing approaches to enhance neural machine translation systems to take into account document-level information make the training process slower or require document- level annotated data.
Approach: They propose a decoding architecture that fuses the semantic space language model and a neural translation model.
Outcome: The proposed approach improves translation quality for English–Spanish using BLEU and METEOR.

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