See https://github.com/tesseract-ocr/tesseract/issues/758 and other similar
issues
On Sun, Jul 12, 2020 at 6:52 PM Shree Devi Kumar <shreesh...@gmail.com>
wrote:
> @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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