Modeling Task-Aware MIMO Cardinality for Efficient Multilingual Neural Machine Translation (2021.acl-short)
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| Challenge: | Existing work has increased the modeling capacity of multilingual NMT by deepening or widening the Transformer. |
| Approach: | They propose to increase the model capacity by deepening the Transformer . they propose to use a multi-input-multi-output architecture to combine multiple inputs . |
| Outcome: | The proposed model surpasses previous work and is 1.31 times faster than existing models. |
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