Papers with DLPs
Visual Pivoting Unsupervised Multimodal Machine Translation in Low-Resource Distant Language Pairs (2024.findings-emnlp)
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| Challenge: | Existing studies show that neural MT achieves much worse translation quality than statistical MT with a small number of corpora. |
| Approach: | They propose a visual pivoting method for alignment between distant language pairs . they first construct a dataset and then apply it to pre-training and fine-tuning . |
| Outcome: | The proposed method outperforms baselines on DLPs and close language pairs. |