Papers by Mohamed Afify
Domain Specific Sub-network for Multi-Domain Neural Machine Translation (2022.aacl-short)
Copied to clipboard
| Challenge: | Neural machine translation (NMT) is based on transformer models that are trained on general data from a single language pair or multiple languages. |
| Approach: | They propose a method to make masks unique per domain to improve generalization to unseen domains. |
| Outcome: | The proposed method outperforms continue training on multi-domain data on German to English translation by 1.47 BLEU points and on new domains by 1.52 BLUE points. |