Papers with encoder-decoder neural network

1 papers
One Sentence One Model for Neural Machine Translation (L18-1)

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Challenge: Neural machine translation (NMT) is a new state of the art that can produce better results than traditional statistical machine translation.
Approach: They propose a dynamic neural network which learns a general network as usual and fine-tunes it for each test sentence.
Outcome: The proposed method improves translation performance when similar sentences are available.

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