Wordnet ComparisonΒΆ

Wordnet is a great resource. No doubt about it! So why should you use Vocabulary when we already have Wordnet out there?

Let’s say you want to find out the synonyms for the word car.

  • Using Wordnet
>>> from nltk.corpus import wordnet
>>> syns = wordnet.synsets('car')
>>> syns[0].lemmas[0].name
>>> [s.lemmas[0].name for s in syns]
['car', 'car', 'car', 'car', 'cable_car']

>>> [l.name for s in syns for l in s.lemmas]
['car', 'auto', 'automobile', 'machine', 'motorcar', 'car', 'railcar', 'railway_car', 'railroad_car', 'car', 'gondola', 'car', 'elevator_car', 'cable_car', 'car']
  • Doing the same using Vocabulary
>>> from vocabulary import Vocabulary as vb
>>> vb.synonym("car")
'[{"seq": 0, "text": "automotive"}, {"seq": 1, "text": "motor"}, {"seq": 2, "text": "wagon"}, {"seq": 3, "text": "cart"}, {"seq": 4, "text": "automobile"}]'
>>> ## load the json data
>>> car_synonyms = json.loads(vb.synonym("car"))
>>> type(car_synonyms)
<class 'list'>

So there you go. You get the data in an easy JSON format.

You can go on comparing for the other methods too.