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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 101–124 of 124 papers

TitleStatusHype
Multi-Engine and Multi-Alignment Based Automatic Post-Editing and its Impact on Translation Productivity—0
CATaLog Online: A Web-based CAT Tool for Distributed Translation with Data Capture for APE and Translation Process Research—0
Instance Selection for Online Automatic Post-Editing in a multi-domain scenario—0
USAAR: An Operation Sequential Model for Automatic Statistical Post-Editing—0
Findings of the 2016 Conference on Machine Translation—0
The FBK Participation in the WMT 2016 Automatic Post-editing Shared Task—0
A Neural Network based Approach to Automatic Post-Editing—0
CUNI System for WMT16 Automatic Post-Editing and Multimodal Translation Tasks—0
Phrasal Substitution of Idiomatic ExpressionsCode0
Log-linear Combinations of Monolingual and Bilingual Neural Machine Translation Models for Automatic Post-Editing—0
Findings of the 2015 Workshop on Statistical Machine Translation—0
The FBK Participation in the WMT15 Automatic Post-editing Shared Task—0
USAAR-SAPE: An English--Spanish Statistical Automatic Post-Editing System—0
Why Predicting Post-Edition is so Hard? Failure Analysis of LIMSI Submission to the APE Shared Task—0
Automatic Post-Editing for the DiscoMT Pronoun Translation Task—0
Exploring the Planet of the APEs: a Comparative Study of State-of-the-art Methods for MT Automatic Post-Editing—0
Confidence-based Rewriting of Machine Translation Output—0
CUNI in WMT14: Chimera Still Awaits Bellerophon—0
Improving Evaluation of English-Czech MT through Paraphrasing—0
Meta-level Statistical Machine Translation—0
A Three-Layer Architecture for Automatic Post Editing System Using Rule-Based Paradigm—0
An Approach Using Style Classification Features for Quality Estimation—0
Deepfix: Statistical Post-editing of Statistical Machine Translation Using Deep Syntactic Analysis—0
Tree-based Hybrid Machine Translation—0
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