For Turkish language, here is an easy to use NER application. Türkçe için kolay bir python NER (Bert + Transfer Learning) (İsim Varlık Tanıma) modeli... Citation Please cite if you use it in your study other detail Thanks to @stefan it, I applied the followings for training cd tr data for file in train.txt dev.txt test.txt labels.txt do wget https://schweter.eu/storage/turkish bert wikiann/$file done cd .. It will download the pre processed datasets with training, dev and test splits and put them in a tr data folder. Run pre training After downloading the dataset, pre training can be started. Just set the following environment variables: Then run pre training: Usage Some results Data1: For the data above Eval Results: precision = 0.916400580551524 recall = 0.9342309684101502 f1 = 0.9252298787412536 loss = 0.11335893666411284 Test Results: precision = 0.9192058759362955 recall = 0.9303010230367262 f1 = 0.9247201697271198 loss = 0.11182546521618497 Data2: https://github.com/stefan it/turkish bert/files/4558187/nerdata.txt The performance for the data given by @kemalaraz is as follows savas@savas lenova:~/Desktop/trans/tr new model 1$ cat eval results.txt precision = 0.946198069204902…
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