Vocabulary 1.0.4

1   Vocabulary

A dictionary magician in the form of a module!

Author:	Tasdik Rahman

Some of my projects are also on Gratipay

Contents

• 1   Vocabulary
  • 1.1   What is it
  • 1.2   Features
  • 1.3   Why should I use Vocabulary
    • 1.3.1   Wordnet Comparison
  • 1.4   Installation
    • 1.4.1   Option 1: installing through pip (Suggested way)
    • 1.4.2   Option 2: Installing from source (Only if you must)
    • 1.4.3   Demo
  • 1.5   Documentation
  • 1.6   Contributing
    • 1.6.1   Discuss
    • 1.6.2   Contributers
  • 1.7   Changelog
  • 1.8   Bugs
  • 1.9   Similar
    • 1.9.1   Known Issues
  • 1.10   License :

1.1   What is it

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For a given word, using Vocabulary, you can get its

• Meaning
• Synonyms
• Antonyms
• Part of speech : whether the word is a noun, interjection or an adverb et el
• Translate : Translate a phrase from a source language to the desired language.
• Usage example : a quick example on how to use the word in a sentence
• Pronunciation
• Hyphenation : shows the particular stress points(if any)

1.2   Features

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• Written in uncomplicated Python
• Returns JSON objects, PYTHON dictionaries and lists
• Minimum dependencies ( just uses requests module )
• Easy to install
• A decent substitute to Wordnet(well almost!) Wanna see? Here is a small comparison
• Stupidly easy to use
• Fast!
• Supports
  • both, python2.* and python3.*
  • Works on Mac, Linux and Windows

1.3   Why should I use Vocabulary

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

1.3.1   Wordnet Comparison

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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
'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']

• Doing the same using Vocabulary

>>> from vocabulary.vocabulary import Vocabulary as vb
>>> vb.synonym("car")
'[{
  "seq": 0,
  "text": "automobile"
}, {
  "seq": 1,
  "text": "cart"
}, {
  "seq": 2,
  "text": "automotive"
}, {
  "seq": 3,
  "text": "wagon"
}, {
  "seq": 4,
  "text": "motor"
}]'
>>> ## 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.

1.4   Installation

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1.4.1   Option 1: installing through pip (Suggested way)

pypi package link

$ pip install vocabulary

If you are behind a proxy

$ pip --proxy [username:password@]domain_name:port install vocabulary

Note: If you get command not found then $ sudo apt-get install python-pip should fix that

1.4.2   Option 2: Installing from source (Only if you must)

$ git clone https://github.com/prodicus/vocabulary.git
$ cd vocabulary/
$ pip install -r requirements.txt
$ python setup.py install

1.4.3   Demo

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1.5   Documentation

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For a detailed usage example, refer the documentation at Read the Docs

1.6   Contributing

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Please refer Contributing page for details

1.6.1   Discuss

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Join us on our Gitter channel if you want to chat or if you have any questions in your mind.

1.6.2   Contributers

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• Huge shoutout to @tenorz007 for adding the ability to return the API response as different data structures.
• Thanks to Anton Relin for adding the translate module.
• And a big shout out to all the contributers for their contributions

1.7   Changelog

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Please refer Changelog page for details

1.8   Bugs

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Please report the bugs at the issue tracker

1.9   Similar

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Other similar software inspired by Vocabulary

• Vocabulary : The Go lang port of this python counterpart
• woordy : Gives back word translations
• guile-words : The Guile Scheme port of this python counterpart

1.9.1   Known Issues

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• In python2, when using the method Vocabulary.synonym() or Vocabulary.pronunciation()

>>> vb.synonym("car")
[{
  "seq": 0,
  "text": "automotive"
}, {
  "seq": 1,
  "text": "motor"
}, {
  "seq": 2,
  "text": "wagon"
}, {
  "seq": 3,
  "text": "cart"
}, {
  "seq": 4,
  "text": "automobile"
}]
>>> 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": 1}]'
>>>

You are being returned a list object instead of a JSON object. When returning the latter, there are some unicode issues. A fix for this will be released soon.

I may suggest python-ftfy which can help you in this matter.

1.10   License :

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Built with ♥ by Tasdik Rahman under the MIT License ©

You can find a copy of the License at http://prodicus.mit-license.org/