In [1]:

    

from words import split_words


    

In [2]:

    

list( split_words("org_contactemail") )


    

    
Out[2]:





['org',
 ['contact.n.01',
  'contact.n.02',
  'contact.n.03',
  'contact.n.04',
  'contact.n.05',
  'liaison.n.02',
  'contact.n.07',
  'contact.n.08',
  'contact.n.09',
  'reach.v.04',
  'touch.v.05'],
 ['electronic_mail.n.01', 'e-mail.v.01']]

In [3]:

    

list( split_words("org_contactemail") )


    

    
Out[3]:





['org',
 [Synset('contact.n.01'),
  Synset('contact.n.02'),
  Synset('contact.n.03'),
  Synset('contact.n.04'),
  Synset('contact.n.05'),
  Synset('liaison.n.02'),
  Synset('contact.n.07'),
  Synset('contact.n.08'),
  Synset('contact.n.09'),
  Synset('reach.v.04'),
  Synset('touch.v.05')],
 [Synset('electronic_mail.n.01'), Synset('e-mail.v.01')]]

In [4]:

    

s = list( split_words("org_contactemail") )[1][0]


    

In [14]:

    

s.name


    

    
Out[14]:





'contact.n.01'

In [6]:

    

dir(s)


    

    
Out[6]:





['__class__',
 '__delattr__',
 '__dict__',
 '__doc__',
 '__eq__',
 '__format__',
 '__getattribute__',
 '__hash__',
 '__init__',
 '__module__',
 '__ne__',
 '__new__',
 '__reduce__',
 '__reduce_ex__',
 '__repr__',
 '__setattr__',
 '__sizeof__',
 '__str__',
 '__subclasshook__',
 '__weakref__',
 '_iter_hypernym_lists',
 '_lemma_pointers',
 '_needs_root',
 '_pointers',
 '_related',
 '_wordnet_corpus_reader',
 'also_sees',
 'attributes',
 'causes',
 'closure',
 'common_hypernyms',
 'definition',
 'entailments',
 'examples',
 'frame_ids',
 'hypernym_distances',
 'hypernym_paths',
 'hypernyms',
 'hyponyms',
 'instance_hypernyms',
 'instance_hyponyms',
 'jcn_similarity',
 'lch_similarity',
 'lemma_infos',
 'lemma_names',
 'lemmas',
 'lexname',
 'lin_similarity',
 'lowest_common_hypernyms',
 'max_depth',
 'member_holonyms',
 'member_meronyms',
 'min_depth',
 'name',
 'offset',
 'part_holonyms',
 'part_meronyms',
 'path_similarity',
 'pos',
 'region_domains',
 'res_similarity',
 'root_hypernyms',
 'shortest_path_distance',
 'similar_tos',
 'substance_holonyms',
 'substance_meronyms',
 'topic_domains',
 'tree',
 'usage_domains',
 'verb_groups',
 'wup_similarity']

In [ ]: