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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com
post-editing
Grammar usage guide and real-world examplesUSAGE SUMMARY
The phrase "post-editing" is correct and usable in written English.
It is typically used in the context of translation and editing, referring to the process of reviewing and correcting machine-generated translations. Example: "After the initial machine translation, the document underwent post-editing to ensure accuracy and fluency."
✓ Grammatically correct
Science
News & Media
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Human-verified examples from authoritative sources
Exact Expressions
21 human-written examples
And while it's rare, vandals have been known to sneak harmful material into publications post-editing.
News & Media
In order to solve this problem, we propose the application of automatic post-editing in an online learning framework.
Science
This automatic post-editing module learns to make its corrections from user feedback in real time by means of online learning techniques.
Science
In addition, the second phase of this study presents a transcription review strategy based on confidence measures (CM) and compares it to the conventional post-editing strategy.
Science
The Z33WP automatically checks for red eye and self-corrects it in each and every person in the photo, saving time on post-editing.
News & Media
Post-editing of an online output may be problematic or difficult for an individual with a low level of proficiency in the language they are being taught or assessed in as grammatical inaccuracies and awkward phrasing cannot be easily identified and therefore corrected (Niño, 2009).
Human-verified similar examples from authoritative sources
Similar Expressions
39 human-written examples
As I had mentioned in a previous post, editing pros are up in arms because Apple removed some important features from its well liked editing software, Final Cut.
News & Media
I've posted edits friends have made of Scott Walker and The Cure, for example.
News & Media
All I had to do was download the posts, edit, reformat, proofread, and index them.
News & Media
"Post edit mocks me and my family situation says I'm on payroll to keep me silent," he writes.
News & Media
As the case grew more controversial, supporters of both sides posted edited videos of Mr. Oren's speech on YouTube.
News & Media
Expert writing Tips
Best practice
When discussing translation workflows, clarify whether "post-editing" is human-led or automated to avoid ambiguity.
Common error
Ensure that "post-editing" addresses not only grammatical errors but also cultural nuances to avoid misinterpretations.
Source & Trust
81%
Authority and reliability
4.5/5
Expert rating
Real-world application tested
Linguistic Context
The phrase "post-editing" primarily functions as a noun or adjective, describing the process of revising or correcting content after its initial creation or automated translation. As Ludwig AI confirms, it’s a standard term. For example, in "automatic post-editing module", it acts as an adjective modifying 'module'.
Frequent in
Science
50%
News & Media
30%
Wiki
10%
Less common in
Formal & Business
10%
Encyclopedias
0%
Social Media
0%
Ludwig's WRAP-UP
In summary, "post-editing" is a grammatically correct term that refers to refining content after its initial creation, often in the context of machine translation or digital media. As Ludwig AI states, it’s usable in written English, and commonly used in translation and editing contexts. It is most frequently found in scientific and news-related sources. When using the term, ensure clarity on whether it involves human intervention or automated processes. Common alternatives include "revision after translation" and "editing of machine translation".
More alternative expressions(10)
Phrases that express similar concepts, ordered by semantic similarity:
editing of machine translation
Specifically refers to editing output from machine translation tools.
revision after translation
Emphasizes the act of reviewing and modifying translated text.
translation revision
Focuses more broadly on the review and improvement of translations.
machine translation refinement
Highlights the process of improving the quality of machine-translated content.
final edit of translation
Implies the ultimate editing stage before publication or use.
translation proofreading
Focuses on the final check for errors in a translated document.
correcting translated text
Describes actions taken to repair errors in translated materials.
automated translation correction
Describes correcting the automated translations.
translation polishing
Suggests a final touch to improve the translation quality.
improving machine translation
Highlights efforts to enhance automatically generated translations.
FAQs
How is "post-editing" used in the context of machine translation?
"Post-editing" in machine translation refers to the process of a human editor reviewing and correcting the output of a machine translation system to improve accuracy and fluency.
What are some alternatives to the term "post-editing"?
You can use alternatives such as "revision after translation", "editing of machine translation", or "translation proofreading" depending on the specific context.
What skills are essential for effective "post-editing"?
Essential skills include strong linguistic abilities in both source and target languages, a keen eye for detail, cultural awareness, and familiarity with translation tools and technologies.
Is "post-editing" always necessary after using machine translation?
The necessity of "post-editing" depends on the quality requirements of the translated text. For high-stakes content or material requiring precise accuracy, "post-editing" is highly recommended.
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Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
81%
Authority and reliability
4.5/5
Expert rating
Real-world application tested