Amr Keleg

> This is a great idea. Do you think there is a smart way to achieve this without updating each and every rule/ example in the corpora?

> Can you give the output of `hfst-fst2strings -W` and `hfst-fst2strings -W -X print-space` for `min3.hfst` ? ``` $ hfst-fst2strings -w min3.hfst cat:dog 1 cats:dogs 2 win:lose 3 $ hfst-fst2strings...

> ``` > $ hfst-fst2txt min3.hfst > 0 1 c d 1.000000 > 1 2 a o 0.000000 > 2 3 t g 0.000000 > 3 0.000000 > -- >...

> Thanks, @AMR-KELEG for being interested in our models. We will release MARBERTv2 soon Thanks a lot 🙏🏽 Looking forward to it.

Hi @uzairaj Have you tried fixing the `xcrun` error as per this answer? https://apple.stackexchange.com/a/209651/436838

```from sklearn import svm from sklearn.feature_extraction.text import CountVectorizer from sklearn_porter import Porter cv = CountVectorizer() l = ['Pattern 1', 'Pattern 2', 'Pattern 3'] X = cv.fit_transform(l) y = [1, 2,...

I might be facing the same problem. I am using an input written in .att format to generate a weighted transducer. ``` 0 1 c c 0.000000 1 2 a...

I think the bug might be related to this line and its following lines: https://github.com/apertium/lttoolbox/blob/f73c54162cc8ca1d9f70486b051165af1a7bf7cb/lttoolbox/state.cc#L607

@MarcRiera I think the bug is with the lt-comp command. Is lt-comp used in the apertium-eng to compile the dictionary? I have prepared a sample dictionary: ``` ÀÁÂÄÆÇÈÉÊËÌÍÎÏÑÒÓÔÖÙÚÛÜàáâäçèéêëìíîïñòóôöùúûüABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz e e...

I have checked the values of the environment values and here are the results: The `$LC_ALL` environment variable isn't set. ``` $ echo $LANG en_US.UTF-8 $ local -a ar_AE.utf8 ar_BH.utf8...