I will update this issue with more examples as I come across. Thanks!
Edit:
It looks like most of the issues is because they are characters of some other scripts, not fancy characters.
So, is there some way to do appearance-based conversion rather than approximate-phonetic conversion?
Thanks for making the library, it's really helpful in my case for cleaning social media texts.
Here are some cases where the transliteration/conversion was not correct (Version 1.3.2):
I will update this issue with more examples as I come across. Thanks!
Edit:
It looks like most of the issues is because they are characters of some other scripts, not fancy characters. So, is there some way to do appearance-based conversion rather than approximate-phonetic conversion?