| Challenge: | Existing models that learn multimodal and multilingual representations perform better in many natural language tasks. |
| Approach: | They use a multimodal and multilingual corpus to test its generalization ability for other languages . they achieve a BLEU score of 51.8 and a METEOR score of 78.0 on the test set . |
| Outcome: | The proposed model outperforms the existing model on a Portuguese-English multimodal translation task. |
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