The “Good Enough” Trap
We live in the age of DeepL and ChatGPT. For a quick email to a friend, they are miraculous. But when it comes to your Doctoral Thesis, a research paper for publication, or a critical business contract, “good enough” is dangerous.
I recently proofread a paper where an AI translated the German concept of Current (electricity) as Current (river flow) in a physics context. Grammatically? Correct. Contextually? Disastrous.
What AI Misses
1. Cultural Nuance & Voice
Academic writing in German is often complex, with long sentences and passive voice. English academic writing prefers active voice and conciseness. A direct translation often sounds “clunky” and unnatural to an English editor.
2. Consistency of Terminology
If you use three different words for the same variable throughout your paper, you will confuse the reader. Human editors create a “glossary” in their heads to ensure consistency.
3. The “Uncanny Valley”
There is a specific feeling when reading AI text—it feels sterile. In a cover letter or abstract, you want to convey passion and authority. AI strips that away.
My Approach to Proofreading
When I edit academic papers, I don’t just check for commas. I look at:
- Flow: Does the argument move logically from paragraph A to B?
- Tone: Is it appropriate for the target journal?
- Clarity: Can we say this in 10 words instead of 20?
Your research deserves to be read, understood, and respected. Don’t let a translation error obscure your hard work.