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Detecting semantic errors in a text is still a challenging area of investigation.
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In the context of argumentation theory, one proven error in a text would not automatically mean that any other part of the same text would be erroneous.
A subsequent study by Dziadosz et al. [28] found that thumbnails alone were much more error-prone than the other two conditions; also, the number of errors in text alone versus text plus thumbnails was nearly identical.
There were a couple of minor errors in the text of the ad, which was why the Court was able to rule that just getting the facts wrong about a public figure (Sullivan was the public-safety commissioner in Montgomery, Alabama) didn't make you a loser in a libel suit.
His publisher revealed that errors in the text of "Clinton Cash" merited a considerable number of corrections.
There are many other errors in the text, perhaps foreshadowed by wrong dates for a half-dozen battles on the map at the beginning of the book.
He showed me several errors in Hindi text messages sent with Apple and Samsung phones, along with a Nokia phone that had rendered a Punjabi news site as a series of impenetrable blocks and scribbles.
People have found errors in the text, passages that conflicted with their own beliefs about Prince, dates that are in dispute.
(For example, you might ask why are there so many typographical errors in the text of Poe's short story "The Purloined Letter" that appears on the screen of the Amazon Kindle on Page 46).
Generally, the dictionary-based method offers high precision but poor recall in cases of spelling errors in the text.
The original Unearthed Arcana contains errors in its text, which readers discovered and reported to Dragon magazine.
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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