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>>> from nltk.corpus import wordnet
>>> syns = wordnet.synsets('car')
>>> syns[0].lemmas[0].name
'car'
>>> [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']

>>> 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'>
>>>

## Importing the module
>>> from vocabulary import Vocabulary as vb

## Extracting "Meaning"
>>> vb.meaning("hillbilly")
'[{"text": "Someone who is from the hills; especially from a rural area, with a connotation of a lack of refinement or sophistication.", "seq": 0}, {"text": "someone who is from the hills", "seq": 1}, {"text": "A white person from the rural southern part of the United States.", "seq": 2}]'
>>>

## "Synonym"
>>> vb.synonym("hurricane")
'[{"text": "storm", "seq": 0}, {"text": "tropical cyclone", "seq": 1}, {"text": "typhoon", "seq": 2}, {"text": "gale", "seq": 3}]'
>>>

## "Antonym"
>>> vb.antonym("respect")
'{"text": ["disesteem", "disrespect"]}'
>>> vb.antonym("insane")
'{"text": ["sane"]}'

## "Part of Speech"
>>> vb.part_of_speech("hello")
'[{"text": "interjection", "example:": "Used to greet someone, answer the telephone, or express surprise.", "seq": 0}]'
>>>

## "Usage Examples"
>>> vb.usage_example("chicanery")
'[{"text": "The Bush Administration is now the commander-in-theif (lower-case intentional) thanks to their chicanery.", "seq": 0}]'
>>>

## "Pronunciation"
>>> vb.pronunciation("hippopotamus")
[{'raw': '(hĭpˌə-pŏtˈə-məs)', 'rawType': 'ahd-legacy', 'seq': 0}, {'raw': 'HH IH2 P AH0 P AA1 T AH0 M AH0 S', 'rawType': 'arpabet', 'seq': 0}]
>>>

## "Hyphenation"
>>> vb.hyphenation("hippopotamus")
'[{"text": "hip", "type": "secondary stress", "seq": 0}, {"text": "po", "seq": 1}, {"text": "pot", "type": "stress", "seq": 2}, {"text": "a", "seq": 3}, {"text": "mus", "seq": 4}]'
>>> vb.hyphenation("amazing")
'[{"text": "a", "seq": 0}, {"text": "maz", "type": "stress", "seq": 1}, {"text": "ing", "seq": 2}]'
>>>

>>> from vocabulary import Vocabulary as vb
>>> help(vb.meaning)
Help on function meaning in module vocabulary.vocabulary:

meaning(phrase, source_lang='en', dest_lang='en')
    make calls to the
    - glosbe API(default choice)
    - Wordnik API

    Wordnik's API gives less results so not Using it here for getting the meanings

    params:
    =======
    source_lang, dest_lang (both default to "en" if nothing is specified)

    Usage:
    ======
    >>> from vocabulary import Vocabulary as vb
    >>> vb.meaning("levitate")
    '[{"text": "(intransitive) Be suspended in the air, as if in defiance of gravity.", "seq": 0}, {"text": "(transitive) To cause to rise in the air and float, as if in defiance of gravity.", "seq": 1}]'
    >>>
(END)

>>> vb.pronunciation("hippopotamus")
[{'raw': '(hĭpˌə-pŏtˈə-məs)', 'rawType': 'ahd-legacy', 'seq': 0}, {'raw': 'HH IH2 P AH0 P AA1 T AH0 M AH0 S', 'rawType': 'arpabet', 'seq': 0}]
>>> type(vb.pronunciation("hippopotamus"))
<class 'list'>
>>> json.dumps(vb.pronunciation("hippopotamus"))
'[{"raw": "(h\\u012dp\\u02cc\\u0259-p\\u014ft\\u02c8\\u0259-m\\u0259s)", "rawType": "ahd-legacy", "seq": 0}, {"raw": "HH IH2 P AH0 P AA1 T AH0 M AH0 S", "rawType": "arpabet", "seq": 0}]'
>>>