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WordNet is incredible, however, I'm struggling to get equivalents in nltk. On the off chance that you search like for the word 'small' like here, it shows the entirety of the equivalents.

Fundamentally I simply need to know the accompanying: wn.synsets('word')[i].option() Where choice can be hypernyms and antonyms, however, what is the choice for getting equivalent words?
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To obtain synonyms from WordNet using the NLTK (Natural Language Toolkit) library in Python, you can follow these steps:

  1. Install NLTK if you haven't already. You can install it using pip:

pip install nltk

2. Import the necessary modules and download the WordNet corpus:

import nltk

from nltk.corpus import wordnet

nltk.download('wordnet')

3. Define a function that retrieves synonyms for a given word:

def get_synonyms(word):

    synonyms = []

    for syn in wordnet.synsets(word):

        for lemma in syn.lemmas():

            synonyms.append(lemma.name())

    return synonyms

4.Call the get_synonyms function and provide the word for which you want to retrieve synonyms:

word = "happy"

synonyms = get_synonyms(word)

print(synonyms)

This will output a list of synonyms for the word "happy" as defined in WordNet.

By following these steps, you can leverage the NLTK library to access synonyms from WordNet in your Python program.

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On the off chance that you need the equivalents in the synset (otherwise known as the lemmas that make up the set), you can get them with lemma_names():

>>> for ss in wn.synsets('small'):

>>>     print(ss.name(), ss.lemma_names())

small.n.01 ['small']

small.n.02 ['small']

small.a.01 ['small', 'little']

minor.s.10 ['minor', 'modest', 'small', 'small-scale', 'pocket-size',  'pocket-sized']

little.s.03 ['little', 'small']

small.s.04 ['small']

humble.s.01 ['humble', 'low', 'lowly', 'modest', 'small']    

...

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To get synonyms from WordNet using NLTK in Python, install NLTK, import the required modules, download the WordNet corpus, define a function to retrieve synonyms, and call the function with the desired word. NLTK enables you to access WordNet's synonyms conveniently in your Python program.
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To access synonyms from WordNet using NLTK in Python, first install NLTK and download the WordNet corpus. Then, import the necessary modules and define a function that retrieves synonyms for a given word. Finally, call the function with the desired word to obtain the synonyms. NLTK simplifies the process of accessing WordNet's synonyms in Python.

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