Continuous Learning in Neural Machine Translation using Bilingual Dictionaries (2021.eacl-main)
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| Challenge: | Recent advances in neural machine translation have led to astonishing translation quality of research systems. |
| Approach: | They propose to integrate one-shot learning methods with different word representations to assess the ability of neural machine translation to continuously learn new phrases. |
| Outcome: | The proposed framework improves translation quality of bilingual dictionaries from 30% to 70%. |
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