Papers by KayYen Wong
Contextual Neural Machine Translation Improves Translation of Cataphoric Pronouns (2020.acl-main)
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| Challenge: | Recent studies have focused on past sentences as context with a focus on anaphora translation. |
| Approach: | They propose to use future context to improve NMT performance by comparing a contextual NMT model trained with past context to a context-agnostic model. |
| Outcome: | The proposed model outperforms the context-agnostic Transformer and shows comparable and in some cases improved performance. |