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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 26–50 of 124 papers

TitleStatusHype
Are we experiencing the Golden Age of Automatic Post-Editing?—0
A Self-Supervised Automatic Post-Editing Data Generation Tool—0
BhashaVerse : Translation Ecosystem for Indian Subcontinent Languages—0
Building The First English-Brazilian Portuguese Corpus for Automatic Post-Editing—0
Alibaba Submission for WMT18 Quality Estimation Task—0
APE-then-QE: Correcting then Filtering Pseudo Parallel Corpora for MT Training Data Creation—0
A Comparison of Machine Translation Paradigms for Use in Black-Box Fuzzy-Match Repair—0
eSCAPE: a Large-scale Synthetic Corpus for Automatic Post-Editing—0
A Transformer-Based Multi-Source Automatic Post-Editing System—0
Consistent Translation of Repeated Nouns using Syntactic and Semantic Cues—0
Confidence-based Rewriting of Machine Translation Output—0
A Three-Layer Architecture for Automatic Post Editing System Using Rule-Based Paradigm—0
Cross-Lingual Transformers for Neural Automatic Post-Editing—0
CUNI in WMT14: Chimera Still Awaits Bellerophon—0
CUNI System for WMT16 Automatic Post-Editing and Multimodal Translation Tasks—0
CUNI System for WMT17 Automatic Post-Editing Task—0
Attention Strategies for Multi-Source Sequence-to-Sequence Learning—0
An Exploration of Neural Sequence-to-Sequence Architectures for Automatic Post-Editing—0
DFKI-MLT System Description for the WMT18 Automatic Post-editing Task—0
Domain Terminology Integration into Machine Translation: Leveraging Large Language Models—0
Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing—0
Combining Quality Estimation and Automatic Post-editing to Enhance Machine Translation output—0
Empirical Analysis of Noising Scheme based Synthetic Data Generation for Automatic Post-editing—0
Automatic Post-Editing for the DiscoMT Pronoun Translation Task—0
Challenges in Adaptive Neural Machine Translation—0
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