Web: http://arxiv.org/abs/2209.07759

Sept. 19, 2022, 1:15 a.m. | Xu Zhang, Xiaojun Wan

cs.CL updates on arXiv.org arxiv.org

Automatic post-editing (APE) aims to reduce manual post-editing efforts by
automatically correcting errors in machine-translated output. Due to the
limited amount of human-annotated training data, data scarcity is one of the
main challenges faced by all APE systems. To alleviate the lack of genuine
training data, most of the current APE systems employ data augmentation methods
to generate large-scale artificial corpora. In view of the importance of data
augmentation in APE, we separately study the impact of the construction method …

arxiv post study

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