Papers with Portuguese-English
Choosing What to Mask: More Informed Masking for Multimodal Machine Translation (2023.acl-srw)
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| Challenge: | Pre-trained language models have achieved remarkable results on several NLP tasks. |
| Approach: | They propose three new masking strategies for cross-lingual visual pre-training that focus on learning different linguistic patterns. |
| Outcome: | The proposed methods outperform the baseline model and achieve state-of-the-art accuracy on the Portuguese-English MMT task. |
Multilingual and Multimodal Learning for Brazilian Portuguese (2022.lrec-1)
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| 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. |
Decoupled Vocabulary Learning Enables Zero-Shot Translation from Unseen Languages (2024.acl-long)
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| Challenge: | Multilingual neural machine translation systems learn to map sentences of different languages into a common representation space. |
| Approach: | They propose a setup where we decouple learning of vocabulary and syntax and train to translate while keeping those word representations frozen. |
| Outcome: | The proposed setup achieves near parity with a supervised setting on the TED domain with varying number of languages seen by the encoder. |