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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 76–100 of 124 papers

TitleStatusHype
POSTECH-ETRI’s Submission to the WMT2020 APE Shared Task: Automatic Post-Editing with Cross-lingual Language Model—0
Proceedings of the AMTA 2018 Workshop on Translation Quality Estimation and Automatic Post-Editing—0
Pushing the Limits of Translation Quality Estimation—0
Simple Automatic Post-editing for Arabic-Japanese Machine Translation—0
APE at Scale and its Implications on MT Evaluation Biases—0
The AMU-UEdin Submission to the WMT 2017 Shared Task on Automatic Post-Editing—0
The FBK Participation in the WMT15 Automatic Post-editing Shared Task—0
The FBK Participation in the WMT 2016 Automatic Post-editing Shared Task—0
The Transference Architecture for Automatic Post-Editing—0
TMU NMT System with Automatic Post-Editing by Multi-Source Levenshtein Transformer for the Restricted Translation Task of WAT 2022—0
Advancing Semi-Supervised Learning for Automatic Post-Editing: Data-Synthesis by Mask-Infilling with Erroneous Terms—0
Transformer-based Automatic Post-Editing Model with Joint Encoder and Multi-source Attention of Decoder—0
Transformer-based Automatic Post-Editing with a Context-Aware Encoding Approach for Multi-Source Inputs—0
Tree-based Hybrid Machine Translation—0
UdS Submission for the WMT 19 Automatic Post-Editing Task—0
Unbabel: How to combine AI with the crowd to scale professional-quality translation—0
Unbabel's Participation in the WMT17 Translation Quality Estimation Shared Task—0
Unbabel's Submission to the WMT2019 APE Shared Task: BERT-based Encoder-Decoder for Automatic Post-Editing—0
USAAR: An Operation Sequential Model for Automatic Statistical Post-Editing—0
USAAR-DFKI -- The Transference Architecture for English--German Automatic Post-Editing—0
USAAR-SAPE: An English--Spanish Statistical Automatic Post-Editing System—0
A Comparison of Machine Translation Paradigms for Use in Black-Box Fuzzy-Match Repair—0
Why Predicting Post-Edition is so Hard? Failure Analysis of LIMSI Submission to the APE Shared Task—0
Adapting Neural Machine Translation for Automatic Post-Editing—0
Alibaba’s Submission for the WMT 2020 APE Shared Task: Improving Automatic Post-Editing with Pre-trained Conditional Cross-Lingual BERT—0
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