Casperpan

English academic to publishable Chinese rewriting translator skill

34
0
85% credibility
Found May 22, 2026 at 34 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

This is a specialized translation tool designed to convert English academic and technical papers into natural, polished Chinese. Rather than doing literal word-by-word translation, it uses a three-stage process: first creating a natural Chinese draft, then reviewing it for awkward phrasing and translationese, and finally producing a polished version that reads as if originally written in Chinese. It offers two modes - one for detailed, step-by-step refinement and one for getting results immediately. The tool specifically addresses common issues in AI translation like stiff sentence structures, overused passive voice, and unnatural word ordering that makes translated text feel 'foreign'.

How It Works

1
📚 You have an English paper to share

You find an important English academic paper, research summary, or technical article that needs to reach Chinese readers.

2
🤖 You ask your AI assistant to help

You open your AI assistant and say you want to translate the paper into natural Chinese.

3
Your assistant starts translating

The assistant uses a special translation skill that doesn't just translate word-by-word, but rewrites the meaning naturally in Chinese.

4
You choose how involved you want to be
👀
Interactive mode

You see the first draft, review it, then ask for improvements to get a carefully polished result.

Quick mode

You get the final translated version immediately, skipping the step-by-step review.

5
🔍 The translation gets reviewed

A second pass checks for awkward phrasing, unnatural sentence structures, and ensures the tone sounds like a Chinese author wrote it.

6
✍️ The final version is polished

The translation is refined one more time to sound smooth, professional, and ready for publication.

🎉 You have a publishable Chinese translation

Your English paper is now in natural, fluent Chinese that reads as if it were originally written in Chinese.

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AI-Generated Review

What is english-paper-translator?

This is a specialized translation skill for converting English academic papers into polished, publishable Chinese. Built for OpenAI Codex, it operates on a "translation as rewriting" philosophy rather than literal word-for-word conversion. The tool uses a three-stage pipeline: an initial translator creates a natural Chinese draft, a reviewer identifies translationese problems like passive voice abuse and abstract noun stacking, and a final translator produces the publishable version. It preserves structural elements like headings, formulas, and citations while fundamentally restructuring English sentence patterns into idiomatic Chinese.

Why is it gaining traction?

The key differentiator is its explicit anti-translationese approach. Most AI translation tools produce output that still reads as "translated Chinese" - this skill specifically combats that by separating initial translation from quality review. The three-translator pipeline prevents the common problem where AI polish passes merely clean up surface-level issues while leaving underlying English sentence structures intact. Developers working with international academic journals or managing multilingual documentation find this valuable because it addresses a pain point generic translators miss entirely.

Who should use this?

Chinese academic researchers preparing papers for domestic journals will find this most useful, especially those working across international conferences. Technical writers localizing documentation who need natural-sounding Chinese rather than stilted direct translations should consider it. English learners studying academic texts might use it to see how professional rewrites handle complex English constructions. It is NOT suitable for legal, medical, or financial texts requiring exact correspondence, or for building parallel translation corpora.

Verdict

The credibility score of 0.85% reflects a new project with limited community validation, and the star count suggests early-stage adoption. The documentation is thorough and the concept is sound, but real-world stress testing remains limited. Worth trying for academic translation workflows, but validate output carefully before using for high-stakes publications until the project matures.

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