Part of the problem seems to be logistical. English natural language training sets are probably just way more common than other languages. About the only language that has more training data is Chinese, and they seem to be doing fine in the NLP department.
Aren't modern transformer networks able to deal with multiple languages? Seems like models powerful enough to do that should be fairly language-agnostic, assuming you can pull together enough training data for that language.
Aren't modern transformer networks able to deal with multiple languages? Seems like models powerful enough to do that should be fairly language-agnostic, assuming you can pull together enough training data for that language.