I used to placed more emphasis unification of standards (as in the case, unification of a natural language) but the truth is: humans will always diverge for var

I used to placed more emphasis unification of standards (as in the case, unification of a natural language) but the truth is: humans will always diverge for various (conscious and less conscious) reasons. Imagine a world of 7billion English speakers: there would obviously be a huge range of accents and standards. In fact, compared to other languages, English is much less standardized and I'd argue that the premise that there's a single "English" for NLP to focus on. So, I'd rather NLP scientists find fulfilling work in exploring existing languages diversity.