Automatic Post-Editing

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

10 datasets whose archive record lists this task, ordered by the archive's paper count.

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

26 shown of 26 papers with code (124 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Felix: Flexible Text Editing Through Tagging and Insertion
  24 Mar 2020 3 repositories listed Syntology ran 3 of 5 samples · 2 unverified · 1 pointer-only (licence)
  We achieve this by decomposing the text-editing task into two sub-tasks: tagging to decide on the subset of input tokens and their order in the output text and insertion to in-fill the missing tokens in the output not…
• Levenshtein Transformer
  27 May 2019 3 repositories listed
  We further confirm the flexibility of our model by showing a Levenshtein Transformer trained by machine translation can straightforwardly be used for automatic post-editing.
• Learning to Copy for Automatic Post-Editing
  9 Nov 2019 2 repositories listed
  To better identify translation errors, our method learns the representations of source sentences and system outputs in an interactive way.
• MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators
  22 Sep 2024 1 repository listed
  To enhance the quality of error annotations predicted by LLM evaluators, we introduce a universal and training-free framework, MQM-APE, based on the idea of filtering out non-impactful errors by Automatically…
• Automatic Correction of Human Translations
  17 Jun 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We show that human errors in TEC exhibit a more diverse range of errors and far fewer translation fluency errors than the MT errors in automatic post-editing datasets, suggesting the need for dedicated TEC models that…
• Using Pre-Trained Language Models for Producing Counter Narratives Against Hate Speech: a Comparative Study
  4 Apr 2022 1 repository listed
  In this work, we present an extensive study on the use of pre-trained language models for the task of automatic Counter Narrative (CN) generation to fight online hate speech in English.
• Transfer Learning for Sequence Generation: from Single-source to Multi-source
  31 May 2021 1 repository listed
  Although directly finetuning pretrained models on MSG tasks and concatenating multiple sources into a single long sequence is regarded as a simple method to transfer pretrained models to MSG tasks, we conjecture that…
• Exploring the Importance of Source Text in Automatic Post-Editing for Context-Aware Machine Translation
  1 May 2021 1 repository listed
  They also highlight blind spots in automatic methods for targeted evaluation and demonstrate the need for human assessment to evaluate document-level translation quality reliably.
• Automatic Post-Editing for Vietnamese
  25 Apr 2021 1 repository listed
  Automatic post-editing (APE) is an important remedy for reducing errors of raw translated texts that are produced by machine translation (MT) systems or software-aided translation.
• Adaptation of Back-translation to Automatic Post-Editing for Synthetic Data Generation
  1 Apr 2021 1 repository listed
  Automatic Post-Editing (APE) aims to correct errors in the output of a given machine translation (MT) system.
• Incorporating Terminology Constraints in Automatic Post-Editing
  19 Oct 2020 1 repository listed
  In this paper, we present both autoregressive and non-autoregressive models for lexically constrained APE, demonstrating that our approach enables preservation of 95% of the terminologies and also improves translation…
• MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset
  9 Oct 2020 1 repository listed
  We present MLQE-PE, a new dataset for Machine Translation (MT) Quality Estimation (QE) and Automatic Post-Editing (APE).
• Can Automatic Post-Editing Improve NMT?
  30 Sep 2020 1 repository listed
  To ascertain our hypothesis, we compile a larger corpus of human post-edits of English to German NMT.
• DynE: Dynamic Ensemble Decoding for Multi-Document Summarization
  15 Jun 2020 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  Sequence-to-sequence (s2s) models are the basis for extensive work in natural language processing.
• Learning Non-Monotonic Automatic Post-Editing of Translations from Human Orderings
  29 Apr 2020 1 repository listed
  Recent research in neural machine translation has explored flexible generation orders, as an alternative to left-to-right generation.
• Deep Copycat Networks for Text-to-Text Generation
  1 Nov 2019 1 repository listed
  Most text-to-text generation tasks, for example text summarisation and text simplification, require copying words from the input to the output.
• Context-Aware Monolingual Repair for Neural Machine Translation
  3 Sep 2019 1 repository listed
  For training, the DocRepair model requires only monolingual document-level data in the target language.
• A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning
  1 Jul 2019 1 repository listed
  Automatic post-editing (APE) seeks to automatically refine the output of a black-box machine translation (MT) system through human post-edits.
• A Simple and Effective Approach to Automatic Post-Editing with Transfer Learning
  14 Jun 2019 1 repository listed Syntology ran 2 of 4 samples · 2 unverified
  Automatic post-editing (APE) seeks to automatically refine the output of a black-box machine translation (MT) system through human post-edits.
• Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach
  1 Oct 2018 1 repository listed
  Automated Post-Editing (PE) is the task of automatically correct common and repetitive errors found in machine translation (MT) output.
• A Shared Attention Mechanism for Interpretation of Neural Automatic Post-Editing Systems
  1 Jul 2018 1 repository listed
  Automatic post-editing (APE) systems aim to correct the systematic errors made by machine translators.
• Neural Machine Translation Techniques for Named Entity Transliteration
  1 Jul 2018 1 repository listed
  Transliterating named entities from one language into another can be approached as neural machine translation (NMT) problem, for which we use deep attentional RNN encoder-decoder models.
• A Workbench for Rapid Generation of Cross-Lingual Summaries
  1 May 2018 1 repository listed
• Ensembling Factored Neural Machine Translation Models for Automatic Post-Editing and Quality Estimation
  15 Jun 2017 1 repository listed
  This work presents a novel approach to Automatic Post-Editing (APE) and Word-Level Quality Estimation (QE) using ensembles of specialized Neural Machine Translation (NMT) systems.
• Attention Strategies for Multi-Source Sequence-to-Sequence Learning
  21 Apr 2017 1 repository listed
  Modeling attention in neural multi-source sequence-to-sequence learning remains a relatively unexplored area, despite its usefulness in tasks that incorporate multiple source languages or modalities.
• Phrasal Substitution of Idiomatic Expressions
  1 Jun 2016 1 repository listed

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.