Having successfully transitioned from being an English language learner to an appreciator of the language, I am part of both the ELL and this stack exchange. And I am proud to be part of both vibrant communities.
However, in the recent days, I have noticed an increasingly large amount of question about basic syntax and vocabulary, that are clearly better addressed in the ELL forums. While the mods have been great at their migration duties, it is not enough; they are mere mortals after all, and there is a massive influx of these questions.
I propose an automated system to detect whether this question could be an ELL worthy question, or an English Stack question. How would this be done? Well, there are key terms that tend to appear more frequently in one area than the other. This might not have to do with the complexity of involved words, or the correctness of the user's syntax (although those could be secondary decision features). Take the word parachute. An English learner might ask about its parts of speech, and its meaning/ definition. An appropriate question here would be concerning the historical phonetics of the word, or its etymology and evolution. These key words are more likely to be in questions relevant to this site. We can train our AI model on sample questions.
No system is perfect, but we need a way to sort the questions before they are out, and not after. Then we can turn our focus to truly enjoying the nuances that the English language offers for us here.