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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 51100 of 124 papers

TitleStatusHype
TMU NMT System with Automatic Post-Editing by Multi-Source Levenshtein Transformer for the Restricted Translation Task of WAT 20220
Advancing Semi-Supervised Learning for Automatic Post-Editing: Data-Synthesis by Mask-Infilling with Erroneous Terms0
Transformer-based Automatic Post-Editing Model with Joint Encoder and Multi-source Attention of Decoder0
Transformer-based Automatic Post-Editing with a Context-Aware Encoding Approach for Multi-Source Inputs0
Tree-based Hybrid Machine Translation0
UdS Submission for the WMT 19 Automatic Post-Editing Task0
Unbabel: How to combine AI with the crowd to scale professional-quality translation0
Unbabel's Participation in the WMT17 Translation Quality Estimation Shared Task0
Unbabel's Submission to the WMT2019 APE Shared Task: BERT-based Encoder-Decoder for Automatic Post-Editing0
USAAR: An Operation Sequential Model for Automatic Statistical Post-Editing0
USAAR-DFKI -- The Transference Architecture for English--German Automatic Post-Editing0
USAAR-SAPE: An English--Spanish Statistical Automatic Post-Editing System0
A Comparison of Machine Translation Paradigms for Use in Black-Box Fuzzy-Match Repair0
eSCAPE: a Large-scale Synthetic Corpus for Automatic Post-Editing0
Exploring the Planet of the APEs: a Comparative Study of State-of-the-art Methods for MT Automatic Post-Editing0
Findings of the 2015 Workshop on Statistical Machine Translation0
Findings of the 2016 Conference on Machine Translation0
Findings of the 2017 Conference on Machine Translation (WMT17)0
Findings of the 2018 Conference on Machine Translation (WMT18)0
Findings of the WMT 2018 Shared Task on Automatic Post-Editing0
Findings of the WMT 2019 Shared Task on Automatic Post-Editing0
Findings of the WMT 2020 Shared Task on Automatic Post-Editing0
Fine-grained evaluation of Quality Estimation for Machine translation based on a linguistically motivated Test Suite0
Generating titles for millions of browse pages on an e-Commerce site0
Giving the Old a Fresh Spin: Quality Estimation-Assisted Constrained Decoding for Automatic Post-Editing0
HW-TSC’s Participation at WMT 2020 Automatic Post Editing Shared Task0
HW-TSC's Submission to the CCMT 2024 Machine Translation Tasks0
Improving CAT Tools in the Translation Workflow: New Approaches and Evaluation0
Improving Evaluation of English-Czech MT through Paraphrasing0
Improving Translations by Combining Fuzzy-Match Repair with Automatic Post-Editing0
Instance Selection for Online Automatic Post-Editing in a multi-domain scenario0
Interactive Models for Post-Editing0
Japanese to English/Chinese/Korean Datasets for Translation Quality Estimation and Automatic Post-Editing0
LIG-CRIStAL Submission for the WMT 2017 Automatic Post-Editing Task0
LIG-CRIStAL System for the WMT17 Automatic Post-Editing Task0
Lightweight Word-Level Confidence Estimation for Neural Interactive Translation Prediction0
Log-linear Combinations of Monolingual and Bilingual Neural Machine Translation Models for Automatic Post-Editing0
Machine translation at Booking.com: what's next?0
Meta-level Statistical Machine Translation0
MS-UEdin Submission to the WMT2018 APE Shared Task: Dual-Source Transformer for Automatic Post-Editing0
Multi-encoder Transformer Network for Automatic Post-Editing0
Multi-Engine and Multi-Alignment Based Automatic Post-Editing and its Impact on Translation Productivity0
Multi-source Neural Automatic Post-Editing: FBK's participation in the WMT 2017 APE shared task0
Multi-source transformer with combined losses for automatic post editing0
Netmarble AI Center's WMT21 Automatic Post-Editing Shared Task Submission0
Netmarble AI Center’s WMT21 Automatic Post-Editing Shared Task Submission0
Neural Automatic Post-Editing Using Prior Alignment and Reranking0
Neural Post-Editing Based on Quality Estimation0
NMT and PBSMT Error Analyses in English to Brazilian Portuguese Automatic Translations0
Noising Scheme for Data Augmentation in Automatic Post-Editing0
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