correctedStr = truecase.get_true_case("I didn't get the best price.")
print(correctedStr)

I did n't get the best price.

correctedStr = truecase.get_true_case("I don't want another.")
print(correctedStr)

I do n't want another.

Let me know what you think of allowing users to specify their own lambda func if they aren't satisfied with the out of vocab options.

I can work on this in my fork and create a PR.

After installing the package I get:

ModuleNotFoundError: No module named 'truecase'
on
import truecase

Informal spoken American English words like WANNA and GONNA are converted to wanNa and gonNa.

>>> import truecase
>>> truecase.get_true_case("I DON'T WANNA GO TO SCHOOL.")
"I don't wanNA go to school."

Thanks for making this repo.

bugs in __function_one and __function_two of Trainer.py.

Logical bug, I checked the original implementation of

https://github.com/nreimers/truecaser

He first goes through the whole corpus to get all casing info. But you are getting casing info on the fly, which means that when a casing appears for the first time for one lower token, its 2-gram and 3-gram statistics will never be counted. This is not desired for this algorithm.

When I use the code, I get the error :

module 'truecase' has no attribute 'get_true_case'

how to fix it?

I am running Ubuntu 20.04.4 LTS
I have installed nltk
I use python 3.7

Thank you for your answer