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NMIST for Hebrew Characters
sgenzer
Administrator, Moderator, Employee-RapidMiner, RapidMiner Certified Analyst, Community Manager, Member, University Professor, PM Moderator Posts: 2,959 
Community Manager
in Help
Starting a new thread as I did not want to hijack @mansour_ebrahim's thread 
@jacobcybulski oh I'm sorry that I forgot that there was already a NMIST example here on the forum. Maybe I should search before asking LOL
Actually the reason for this is both personal and professional
Of course professionally an example on the repo of this classic problem is going to be helpful for others. But on the personal side I am in search of a RM solution of a strange project I'm working on - basically OCR on old Jewish tombstones from the 19th century. These stones are from a cemetery in Poland that was destroyed by the Nazis in 1939. They took the stones and used them to pave a road down to a river for tanks and trucks. By some amazing good luck, the stones survived by slipping into the river itself long after the war and have been recently pulled out of the river by some very kind and hardworking Poles in the town. One or more of these stones are likely ancestors of mine - and of course many other people as well. So it is both a fascinating data science problem, and a very worth cause.
So back to data science, my thinking is that if I can train a model to identify the letters of the Hebrew alphabet in the same methodology as NMIST, I can build a basic OCR engine to help people read the stones. Here are a few examples:
There are hundreds of these. If I can train an OCR engine to transcribe the letters, it is fairly trivial to push the text to Google Translate and get them translated into English.
Thoughts?
Scott
@jacobcybulski oh I'm sorry that I forgot that there was already a NMIST example here on the forum. Maybe I should search before asking LOL
Actually the reason for this is both personal and professional
Of course professionally an example on the repo of this classic problem is going to be helpful for others. But on the personal side I am in search of a RM solution of a strange project I'm working on - basically OCR on old Jewish tombstones from the 19th century. These stones are from a cemetery in Poland that was destroyed by the Nazis in 1939. They took the stones and used them to pave a road down to a river for tanks and trucks. By some amazing good luck, the stones survived by slipping into the river itself long after the war and have been recently pulled out of the river by some very kind and hardworking Poles in the town. One or more of these stones are likely ancestors of mine - and of course many other people as well. So it is both a fascinating data science problem, and a very worth cause.So back to data science, my thinking is that if I can train a model to identify the letters of the Hebrew alphabet in the same methodology as NMIST, I can build a basic OCR engine to help people read the stones. Here are a few examples:
There are hundreds of these. If I can train an OCR engine to transcribe the letters, it is fairly trivial to push the text to Google Translate and get them translated into English.
Thoughts?
Scott
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