Learning Hidden Unit Contribution for Adapting Neural Machine Translation Models (N18-2)
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| Challenge: | In this paper we explore the use of Learning Hidden Unit Contribution for neural machine translation. |
| Approach: | They propose to use Learning Hidden Unit Contribution for the task of neural machine translation. |
| Outcome: | The proposed method achieves improvements of up to 2.6 BLEU points over a general system . it also achieves up to 6 BLUE points if the initial system has been trained on out-of-domain data . |
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