I don't think I had any (or enough) plus superscript in my training_text.

Treat this as an example and train as per the data you expect.

On Tue, 9 Jul 2019, 17:01 fady taher, <fadytahe...@gmail.com> wrote:

> Dear Shree, thanks for you quick response ... I gave a try to the
> submodule ... it gave results to *Cr⁶⁶ *while it should have been *Cr *⁶*⁺
> *any ideas if this is solvable *?*
>
>
> Regards
>
> On Tue, Jul 9, 2019 at 1:14 PM Shree Devi Kumar <shreesh...@gmail.com>
> wrote:
>
>> If you use the submodule you will save time taken in running the
>> 8-makedata_layernew.sh script. However, if you have modified
>> training_text or want to checkout the full process, run the script.
>>
>> On Tue, Jul 9, 2019 at 4:33 PM fady taher <fadytahe...@gmail.com> wrote:
>>
>>> I can see that you have mentioned
>>>>
>>> "IT IS NOT REQUIRED TO RUN THIS SCRIPT AS THE OUTPUT FOLDERS ARE
>>> PROVIDED AS A SUBMODULE IN THE REPO. Use git submodule update --init to
>>> download the files (approx 600MB)."
>>> so, should I just use the eng.traineddata found in tessdata folder ?
>>>
>>>
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