In [6]:

    

from nltk.corpus import wordnet as wn


    

In [13]:

    

wn.synset('cattle.n.01').hypernyms()


    

    
Out[13]:





[Synset('bovine.n.01')]

In [25]:

    

bovine = wn.synset('bovine.n.01')
cattle = wn.synset('cattle.n.01')
cow = wn.synset('cow.n.01')


    

In [29]:

    

cow.wup_similarity(bovine)


    

    
Out[29]:





0.9411764705882353

In [30]:

    

wn.synsets('cow')


    

    
Out[30]:





[Synset('cow.n.01'),
 Synset('cow.n.02'),
 Synset('cow.n.03'),
 Synset('overawe.v.01')]

In [32]:

    

wn.synset('cow.n.01').hypernyms()


    

    
Out[32]:





[Synset('cattle.n.01')]

In [ ]: