All synonyms for word in python? [duplicate]

by

Using wn.synset('dog.n.1').lemma_names is the correct way to access the synonyms of a sense. It’s because a word has many senses and it’s more appropriate to list synonyms of a particular meaning/sense. To enumerate words with similar meanings, possibly you can also look at the hyponyms.

Sadly, the size of Wordnet is very limited so there are very few lemma_names available for each senses.

Using Wordnet as a dictionary/thesarus is not very apt per se, because it was developed as an inventory of sense/meaning rather than a inventory of words. However you can use access the a particular sense and several (not a lot) related words to the sense. One can use Wordnet as a:

Dictionary: given a word, what are the different meaning of the word

for i,j in enumerate(wn.synsets('dog')):
  print "Meaning",i, "NLTK ID:", j.name
  print "Definition:",j.definition

Thesarus: given a word, what are the different words for each meaning of the word

for i,j in enumerate(wn.synsets('dog')):
  print "Meaning",i, "NLTK ID:", j.name
  print "Definition:",j.definition
  print "Synonyms:", ", ".join(j.lemma_names)
  print

Ontology: given a word, what are the hyponyms (i.e. sub-types) and hypernyms (i.e. super-types).

for i,j in enumerate(wn.synsets('dog')):
  print "Meaning",i, "NLTK ID:", j.name
  print "Hypernyms:", ", ".join(list(chain(*[l.lemma_names for l in j.hypernyms()])))
  print "Hyponyms:", ", ".join(list(chain(*[l.lemma_names for l in j.hyponyms()])))
  print

[Ontology Output]

Meaning 0 NLTK ID: dog.n.01
Hypernyms words domestic_animal, domesticated_animal, canine, canid
Hyponyms puppy, Great_Pyrenees, basenji, Newfoundland, Newfoundland_dog, lapdog, poodle, poodle_dog, Leonberg, toy_dog, toy, spitz, pooch, doggie, doggy, barker, bow-wow, cur, mongrel, mutt, Mexican_hairless, hunting_dog, working_dog, dalmatian, coach_dog, carriage_dog, pug, pug-dog, corgi, Welsh_corgi, griffon, Brussels_griffon, Belgian_griffon

Meaning 1 NLTK ID: frump.n.01
Hypernyms: unpleasant_woman, disagreeable_woman
Hyponyms: 

Meaning 2 NLTK ID: dog.n.03
Hypernyms: chap, fellow, feller, fella, lad, gent, blighter, cuss, bloke
Hyponyms: 

Meaning 3 NLTK ID: cad.n.01
Hypernyms: villain, scoundrel
Hyponyms: perisher

More Related Contents:

  1. How to check if a word is an English word with Python?
  2. Convert words between verb/noun/adjective forms
  3. wordnet lemmatization and pos tagging in python
  4. Using NLTK and WordNet; how do I convert simple tense verb into its present, past or past participle form?
  5. How to get synonyms from nltk WordNet Python
  6. Extract Word from Synset using Wordnet in NLTK 3.0
  7. How to get all the hyponyms of a word/synset in python nltk and wordnet?
  8. Refering to a directory in a Flask app doesn’t work unless the path is absolute
  9. Ordinal numbers replacement
  10. How to config nltk data directory from code?
  11. pip issue installing almost any library
  12. nltk NaiveBayesClassifier training for sentiment analysis
  13. Opening A large JSON file
  14. NLTK Tagging spanish words using a corpus
  15. How to get rid of punctuation using NLTK tokenizer?
  16. English grammar for parsing in NLTK
  17. NLTK and language detection
  18. Fast/Optimize N-gram implementations in python
  19. How do I do dependency parsing in NLTK?
  20. Counting the Frequency of words in a pandas data frame
  21. Extract list of Persons and Organizations using Stanford NER Tagger in NLTK
  22. Spell Checker for Python
  23. Tokenize a paragraph into sentence and then into words in NLTK
  24. tag generation from a text content
  25. Implementing Bag-of-Words Naive-Bayes classifier in NLTK
  26. Fast n-gram calculation
  27. How to use malt parser in python nltk
  28. Getting 405 error while trying to download nltk data
  29. How to get most informative features for scikit-learn classifier for different class?
  30. NLTK download SSL: Certificate verify failed

Leave a Comment