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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

Showing 5175 of 124 papers

TitleStatusHype
Effort-Aware Neural Automatic Post-Editing0
USAAR-DFKI -- The Transference Architecture for English--German Automatic Post-Editing0
APE through Neural and Statistical MT with Augmented Data. ADAPT/DCU Submission to the WMT 2019 APE Shared Task0
Simple Automatic Post-editing for Arabic-Japanese Machine Translation0
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-Editing0
Levenshtein TransformerCode1
APE at Scale and its Implications on MT Evaluation Biases0
Alibaba Submission for WMT18 Quality Estimation Task0
DFKI-MLT System Description for the WMT18 Automatic Post-editing Task0
A Transformer-Based Multi-Source Automatic Post-Editing System0
Findings of the 2018 Conference on Machine Translation (WMT18)0
Findings of the WMT 2018 Shared Task on Automatic Post-Editing0
Multi-source transformer with combined losses for automatic post editing0
Multi-encoder Transformer Network for Automatic Post-Editing0
Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter ApproachCode0
MS-UEdin Submission to the WMT2018 APE Shared Task: Dual-Source Transformer for Automatic Post-Editing0
Neural Machine Translation Techniques for Named Entity TransliterationCode0
A Shared Attention Mechanism for Interpretation of Neural Automatic Post-Editing SystemsCode0
A Workbench for Rapid Generation of Cross-Lingual SummariesCode0
eSCAPE: a Large-scale Synthetic Corpus for Automatic Post-Editing0
Unbabel: How to combine AI with the crowd to scale professional-quality translation0
Automatic Post-Editing and Machine Translation Quality Estimation at eBay0
Fine-grained evaluation of Quality Estimation for Machine translation based on a linguistically motivated Test Suite0
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