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Result of Turkish Model Training.

  1. Run the Jupyter Notebook and create new notebook in browser window. Import spacy, displacy and load tr_unnamed model. 
    import spacy
from spacy import displacy
nlp = spacy.load('tr_unnamed')
  2. Process whole sentence and visualize the results. 
    doc1 = nlp('Ben seni çok seviyorum.')
for token in doc1:
 print(token.text, token.lemma_, token.pos_, token.tag_)
displacy.render(doc1, style='dep', jupyter=True)

The results of sentence processing:

Ben Ben PRON Pers
seni seni PRON Pers
çok çok ADV Adverb
seviyorum sev VERB Verb
. . PUNCT Punc

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