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Thanks for the feedback. These are issues we've thought about, and we came to different conclusions: re 2, you'll see at http://proselint.com/approach/ that one of the guiding principles of Proselint is that we defer to experts. In practice, that's meant almost all the advice comes from Bryan Garner's usage guide, Garner's Modern American Usage. He is a careful compiler of advice and you'll find that he is almost never "totally wrong", and when his advice is debated, he knows it, notes it, and provides a thoughtful discussion. re 1, we think of Proselint as eventually being useful as a training tool, a way to learn the conventions. Note that natural languages are large, with so many low-frequency terms that nobody can learn the whole language. Why err if an automated tool can help? Consider for example demonyms, what you call people from a certain place. How many people know, for example, that people from Manchester are Mancunians, not Manchesterians? Rather than call someone by the wrong name, with Proselint the voice of an expert gently corrects you, and you learn a cool new word. We aren't a mob of programmers, we are three people who love language, respect it, and think we're 2% of the way to making a great tool, one that The New Yorker could run over its stories to flag issues that its own editors would flag anyways. (In fact, we've done this, running Proselint over a corpus of highly vetted text, and have found numerous issues.) |
Widespread use of proselint to correct this type of thing wouldn't improve writing. Rather, it would just add another interpretive option to the above range of scenarios, i.e. "ah, I can tell that this writer did or did not run that proselint tool before submission, because their text is or is not littered with boilerplate proselintisms."
The way to improve genuinely bad writing is not with rules and tools -- it's with lots of reading, a little mentorship, and lots and lots and lots of practice.