Exploring Unsupervised Pretraining Objectives for Machine Translation (2021.findings-acl)
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| Challenge: | Unsupervised cross-lingual pretraining has significantly reduced the need for large parallel data. |
| Approach: | They compare unsupervised cross-lingual pretraining with masking and reconstructing inputs in the decoder to produce real sentences. |
| Outcome: | The proposed methods produce inputs resembling real (full) sentences, by reordering and replacing words based on their context. |
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