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Some people don't have English as their native language. When such people want to write a scientific article in English they will have to use someone who can wr

Some people don't have English as their native language. When such people want to write a scientific article in English they will have to use someone who can write English but probably does not know much about the research. So of course there will be articles with "Tortured Phrases".

arthur2e5 5y ago
Did you even read the abstract of the TFA? This should not even be a cultural background issue. As an L2 English speaker myself I have never ever thought about throwing a thesaurus onto some established phrase so I can turn “artificial intelligence” into “counterfeit consciousness”, or “deep neural network” into “profound neural organization”. These are deliberate use of fancy words without trying to make sense. Heck, we got a word for this sort of rampant plagiarism masking on Chinese internet — 洗稿 (manuscript (or blog post)-laundry). OT: I do appreciate the funny phrase “elite figuring” for HPC. It’s kind of like how they translate things to Anglish.
alexmcc81 5y ago
If you read the article the authors directly address this and use datasets of machine translated articles as controls.
- wolverine876 5y ago
  People who don't speak English natively could use machine translation, and people plagiarizing could use machine translation. How do they distinguish (if you don't mind saving me digging into the research)?
  - ev1 5y ago
    Phrases like AI and big data are already pretty well defined in almost every major machine translation set. You'd have to forcefully try to thesaurus your way through to make it do that 99% of the time.
    - wolverine876 5y ago
      But wouldn't the error rate be the same for both legitimate and plagiarized texts? How do these errors distinguish between the two cases?
Zababa 5y ago
No one would write "colossal information" instead of "big data" because English isn't their first language.

arthur2e5 5y ago

Did you even read the abstract of the TFA? This should not even be a cultural background issue. As an L2 English speaker myself I have never ever thought about throwing a thesaurus onto some established phrase so I can turn “artificial intelligence” into “counterfeit consciousness”, or “deep neural network” into “profound neural organization”. These are deliberate use of fancy words without trying to make sense. Heck, we got a word for this sort of rampant plagiarism masking on Chinese internet — 洗稿 (manuscript (or blog post)-laundry). OT: I do appreciate the funny phrase “elite figuring” for HPC. It’s kind of like how they translate things to Anglish.

alexmcc81 5y ago

If you read the article the authors directly address this and use datasets of machine translated articles as controls.

wolverine876 5y ago
People who don't speak English natively could use machine translation, and people plagiarizing could use machine translation. How do they distinguish (if you don't mind saving me digging into the research)?
- ev1 5y ago
  Phrases like AI and big data are already pretty well defined in almost every major machine translation set. You'd have to forcefully try to thesaurus your way through to make it do that 99% of the time.
  - wolverine876 5y ago
    But wouldn't the error rate be the same for both legitimate and plagiarized texts? How do these errors distinguish between the two cases?

Zababa 5y ago

No one would write "colossal information" instead of "big data" because English isn't their first language.