Papers by Jeremy Gwinnup
Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation (N19-1)
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| Challenge: | Neural Machine Translation (NMT) performs poorly without large training corpora. |
| Approach: | They propose a machine learning method that retains the majority of general-domain performance lost in continued training without degrading in-domain. |
| Outcome: | The proposed method retains the majority of general-domain performance lost in continued training without degrading in-domain performances. |