

In [1]:

    
from nltk.corpus.reader import TaggedCorpusReader
from nltk.tag import AffixTagger
import pickle



In [2]:

    
#trainer
reader = TaggedCorpusReader('.', 'greek_training_set.pos')
train_sents = reader.tagged_sents()

2-char suffix tagger



In [3]:

    
suffix_tagger = AffixTagger(train_sents, affix_length=-2)



In [4]:

    
suffix_tagger.evaluate(train_sents)









    Out[4]:





0.20355849401464465

3-char suffix tagger



In [5]:

    
three_suffix_tagger = AffixTagger(train_sents, affix_length=-3)



In [6]:

    
three_suffix_tagger.evaluate(train_sents)









    Out[6]:





0.2462203693883768



In [7]:

    
four_suffix_tagger = AffixTagger(train_sents, affix_length=-4)



In [8]:

    
four_suffix_tagger.evaluate(train_sents)









    Out[8]:





0.23366014915437816



In [9]:

    
five_suffix_tagger = AffixTagger(train_sents, affix_length=-5)



In [10]:

    
five_suffix_tagger.evaluate(train_sents)









    Out[10]:





0.18811560028431848



In [11]:

    
six_suffix_tagger = AffixTagger(train_sents, affix_length=-6)



In [12]:

    
six_suffix_tagger.evaluate(train_sents)









    Out[12]:





0.1341543217537486