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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 51–75 of 124 papers

TitleStatusHype
Improving CAT Tools in the Translation Workflow: New Approaches and Evaluation—0
Improving Evaluation of English-Czech MT through Paraphrasing—0
Improving Translations by Combining Fuzzy-Match Repair with Automatic Post-Editing—0
Instance Selection for Online Automatic Post-Editing in a multi-domain scenario—0
Interactive Models for Post-Editing—0
Japanese to English/Chinese/Korean Datasets for Translation Quality Estimation and Automatic Post-Editing—0
LIG-CRIStAL Submission for the WMT 2017 Automatic Post-Editing Task—0
LIG-CRIStAL System for the WMT17 Automatic Post-Editing Task—0
Lightweight Word-Level Confidence Estimation for Neural Interactive Translation Prediction—0
Log-linear Combinations of Monolingual and Bilingual Neural Machine Translation Models for Automatic Post-Editing—0
Machine translation at Booking.com: what's next?—0
Meta-level Statistical Machine Translation—0
MS-UEdin Submission to the WMT2018 APE Shared Task: Dual-Source Transformer for Automatic Post-Editing—0
Multi-encoder Transformer Network for Automatic Post-Editing—0
Multi-Engine and Multi-Alignment Based Automatic Post-Editing and its Impact on Translation Productivity—0
Multi-source Neural Automatic Post-Editing: FBK's participation in the WMT 2017 APE shared task—0
Multi-source transformer with combined losses 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
Neural Automatic Post-Editing Using Prior Alignment and Reranking—0
Neural Post-Editing Based on Quality Estimation—0
NMT and PBSMT Error Analyses in English to Brazilian Portuguese Automatic Translations—0
Noising Scheme for Data Augmentation in Automatic Post-Editing—0
Online Automatic Post-editing for MT in a Multi-Domain Translation Environment—0
PePe: Personalized Post-editing Model utilizing User-generated Post-edits—0
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