Consider words like naïve and Café as english

Currently all the words that contain non-asci chars are considered as non-English. However there are English words like naïve and Café that contain non-asci chars.

Possible solution is to remove accents.
E.g.
Café -> Café
Naïve -> naive

Locate the Python logic that classifies words containing non-ASCII characters as non-English and inspect how language checks are performed. Verify the behavior with “naïve” and “Café”; done means accented English words are accepted without incorrectly treating other non-English words as English.

Written by the indexing model from the issue text.