attached file is my training _text

for finely tuninig, I use fonts 

train for fonts : Baekmuk Dotum , Baekmuk Gulim, Baekmuk Headline

eval for fonts :  Baekmuk Batang

You can install Baekmuk Font

$ apt-get install fonts-baekmuk

And I don't know font that is giving me error 

so I explain my training environment & settings

2018년 3월 15일 목요일 오후 5시 5분 43초 UTC+9, 이경준 님의 말:

> Thank you so much .
>
> 1) how to replace tesseract 4.00 alpha with tesseract 4.00 Beta ?
>
> Thank you
>
> 2018년 3월 15일 목요일 오후 4시 56분 59초 UTC+9, shree 님의 말:
>>
>> >  tesseract 4.0 Alpha on Ubuntu 16.04.03 LTS 
>>
>> Please use latest version beta.1 or build from source on github.
>>
>> > They are operated by Windows . I Think. 
>>
>> No, they are not operated by windows. They run on 'bash under winodws' 
>> which provides Ubuntu 14.04. It can use fonts installed under windows.
>>
>> > Depending on OS, tesseract (4.0) performance is different?  
>>
>> Quite possible. It will also depend on how many changes from github are 
>> included in each.
>>
>> > I finally Do not solve can't encode transcription , after replacing 
>> top layer 
>>
>> I cannot reproduce the problem. Please send your training_text and font 
>> that is giving you error so that I can check with it.
>>
>> bash script will not run directly on windows.
>>
>>
>>
>>
>>
>> ShreeDevi
>> ____________________________________________________________
>> भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com
>>
>> On Thu, Mar 15, 2018 at 12:43 PM, 이경준 <player...@gmail.com> wrote:
>>
>>> Hi Shree, I'm using tesseract 4.0 Alpha on Ubuntu 16.04.03 LTS
>>>
>>> But, you give me 2 scripts for tesseract 4.0 
>>>
>>> In the scripts, They are operated by Windows . I Think.
>>>
>>> So, I change my running enviornment of Tesseract 4.0. (Ubuntu -> Window 
>>> 10)
>>>
>>> Depending on OS, tesseract (4.0) performance is different? 
>>>
>>> And I finally Do not solve can't encode transcription , after replacing 
>>> top layer
>>>
>>> I conclude that I have to change my Os.(Ubuntu -> window 10) 
>>>
>>> Thank you
>>>
>>> Can you check my training_text for fine tuning? 
>>>
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>>

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Attachment: kor.plus.training_text
Description: Binary data

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