@Eliyaz What version of tesseract are you using? Which traineddata?
>Always the letter "لا" is predicted as "ال" .
I think this was fixed by Ray Smiith in 2017 and should be ok in the
traineddata files in tessdata_fast and tessdata_best repos.
On Sun, Jul 12, 2020 at 6:45 PM Rainer Verteidiger <
materialdefender2...@gmail.com> wrote:
>
> Always the letter "لا" is predicted as "ال" .
>
> Not sure how much relevancy that bears in the context of training models,
> but لا is no letter! It's a ligature ("Arabic Ligature Lam with Alef")
> formed by combining ل ("Arabic Letter Lam") with ا ("Arabic Letter Alef")
> whereas ال is ا followed by ل (so, the exact opposite way around; no
> ligature). Both are incredibly common in Arabic texts and although I have
> no clue about machine learning, I'm surprised how the training could miss
> the difference between them.
>
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