SOTAVerified

Automatic Post-Editing

Automatic post-editing (APE) is used to correct errors in the translation made by the machine translation systems.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 124 papers

TitleStatusHype
Automatic Correction of Human TranslationsCode1
A Simple and Effective Approach to Automatic Post-Editing with Transfer LearningCode1
Felix: Flexible Text Editing Through Tagging and InsertionCode1
MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation EvaluatorsCode1
Context-Aware Monolingual Repair for Neural Machine TranslationCode1
A Simple and Effective Approach to Automatic Post-Editing with Transfer LearningCode1
Automatic Post-Editing for VietnameseCode1
DynE: Dynamic Ensemble Decoding for Multi-Document SummarizationCode1
MLQE-PE: A Multilingual Quality Estimation and Post-Editing DatasetCode1
Transfer Learning for Sequence Generation: from Single-source to Multi-sourceCode1
Levenshtein TransformerCode1
Incorporating Terminology Constraints in Automatic Post-EditingCode1
Can Automatic Post-Editing Improve NMT?Code1
An Empirical Study of Automatic Post-Editing—0
A Self-Supervised Automatic Post-Editing Data Generation Tool—0
Adapting Neural Machine Translation for Automatic Post-Editing—0
Are we experiencing the Golden Age of Automatic Post-Editing?—0
A Post-Editing Dataset in the Legal Domain: Do we Underestimate Neural Machine Translation Quality?—0
An Approach Using Style Classification Features for Quality Estimation—0
BhashaVerse : Translation Ecosystem for Indian Subcontinent Languages—0
Automatic Post-Editing and Machine Translation Quality Estimation at eBay—0
APE through Neural and Statistical MT with Augmented Data. ADAPT/DCU Submission to the WMT 2019 APE Shared Task—0
Automatic Post-Editing for Machine Translation—0
Automatic Post-Editing for the DiscoMT Pronoun Translation Task—0
Attention Strategies for Multi-Source Sequence-to-Sequence Learning—0
Show:102550
← PrevPage 1 of 5Next →

No leaderboard results yet.