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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 11–20 of 124 papers

TitleStatusHype
Automatic Correction of Human TranslationsCode1
Empirical Analysis of Noising Scheme based Synthetic Data Generation for Automatic Post-editing—0
Advancing Semi-Supervised Learning for Automatic Post-Editing: Data-Synthesis by Mask-Infilling with Erroneous Terms—0
Using Pre-Trained Language Models for Producing Counter Narratives Against Hate Speech: a Comparative StudyCode0
A Self-Supervised Automatic Post-Editing Data Generation Tool—0
Adapting Neural Machine Translation for Automatic Post-Editing—0
Netmarble AI Center’s WMT21 Automatic Post-Editing Shared Task Submission—0
Netmarble AI Center's WMT21 Automatic Post-Editing Shared Task Submission—0
Interactive Models for Post-Editing—0
Transfer Learning for Sequence Generation: from Single-source to Multi-sourceCode1
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