Papers by Myungji Lee

1 papers
Bring More Attention to Syntactic Symmetry for Automatic Postediting of High-Quality Machine Translations (2023.acl-short)

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Challenge: Existing APE systems are not good at handling high-quality MTs even for a language pair with abundant data resources, English–German.
Approach: They propose a linguistically motivated method of regularization that encourages symmetric self-attention on the given MT.
Outcome: The proposed method improves the state-of-the-art architecture’s APE quality for high-quality MTs.

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