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pythonnlpnltklemmatization

Why are there different Lemmatizers in NLTK library?

>> from nltk.stem import WordNetLemmatizer as lm1
>> from nltk import WordNetLemmatizer as lm2
>> from nltk.stem.wordnet import WordNetLemmatizer as lm3

For me all of the three works the same way, but just to confirm, do they provide anything different?

Solution

  • No they're not different they're all the same.

    from nltk.stem import WordNetLemmatizer as lm1
from nltk import WordNetLemmatizer as lm2
from nltk.stem.wordnet import WordNetLemmatizer as lm3

lm1 == lm2 
>>> True


lm2 == lm3 
>>> True


lm1 == lm3 
>>> True

    As corrected by erip why this is happening is because :

    That Class(WordNetLemmatizer) is origanlly written in nltk.stem.wordnet so you can do from nltk.stem.wordnet import WordNetLemmatizer as lm3

    Which is also import in nltk __init__.py file so you can do from nltk import WordNetLemmatizer as lm2

    And is also imported in __init__.py nltk.stem module so you can do from nltk.stem import WordNetLemmatizer as lm1