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Automatic Post-Editing

Automatic post-editing (APE) is used to correct errors in the translation made by the machine translation systems.

Papers

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Showing 51–60 of 124 papers

TitleStatusHype
Effort-Aware Neural Automatic Post-Editing—0
APE through Neural and Statistical MT with Augmented Data. ADAPT/DCU Submission to the WMT 2019 APE Shared Task—0
Transformer-based Automatic Post-Editing Model with Joint Encoder and Multi-source Attention of Decoder—0
Simple Automatic Post-editing for Arabic-Japanese Machine Translation—0
A Simple and Effective Approach to Automatic Post-Editing with Transfer LearningCode1
A Simple and Effective Approach to Automatic Post-Editing with Transfer LearningCode1
Unbabel's Submission to the WMT2019 APE Shared Task: BERT-based Encoder-Decoder for Automatic Post-Editing—0
Levenshtein TransformerCode1
APE at Scale and its Implications on MT Evaluation Biases—0
Findings of the WMT 2018 Shared Task on Automatic Post-Editing—0
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