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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 101–110 of 124 papers

TitleStatusHype
Alibaba Submission for WMT18 Quality Estimation Task—0
An Approach Using Style Classification Features for Quality Estimation—0
An Empirical Study of Automatic Post-Editing—0
A Neural Network based Approach to Automatic Post-Editing—0
An Exploration of Neural Sequence-to-Sequence Architectures for Automatic Post-Editing—0
APE-then-QE: Correcting then Filtering Pseudo Parallel Corpora for MT Training Data Creation—0
APE through Neural and Statistical MT with Augmented Data. ADAPT/DCU Submission to the WMT 2019 APE Shared Task—0
A Post-Editing Dataset in the Legal Domain: Do we Underestimate Neural Machine Translation Quality?—0
Are we experiencing the Golden Age of Automatic Post-Editing?—0
A Self-Supervised Automatic Post-Editing Data Generation Tool—0
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