Papers by Chun Zeng

1 papers
Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints (2022.naacl-main)

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Challenge: Existing approaches to lexically constrained neural machine translation suffer from high latency.
Approach: They propose a plug-in algorithm for non-autoregressive translation for this problem . they propose ACT to familiarize the model with the source-side context of constraints .
Outcome: The proposed model improves over the backbone constrained NAT model in constraint preservation and translation quality, especially for rare constraints.

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