More specifically, I'm trying to check if given string (a sentence) is in Turkish. 

I can check if the string has Turkish characters such as Ç, Ş, Ü, Ö, Ğ etc. However that's not very reliable as those might be converted to C, S, U, O, G before I receive the string.

Another method is to have the 100 most used words in Turkish and check if the sentence includes any/some of those words. I can combine these two methods and use a point system. 

What do you think is the most efficient way to solve my problem in Python?

Related question: [(human) Language of a document](https://stackoverflow.com/questions/257125/human-language-of-a-document) (Perl, Google Translation API)