In [1]:

    

from nltk.stem import WordNetLemmatizer
lemmatizer = WordNetLemmatizer()


    

In [2]:

    

print(lemmatizer.lemmatize('cats'))
print(lemmatizer.lemmatize('cacti'))
print(lemmatizer.lemmatize('geese'))
print(lemmatizer.lemmatize('rocks'))
print(lemmatizer.lemmatize('papers'))
print(lemmatizer.lemmatize('python'))
print(lemmatizer.lemmatize('scissor'))


    

    




cat
cactus
goose
rock
paper
python
scissor

In [3]:

    

print(lemmatizer.lemmatize('better', pos='a'))  ## a is for denoting adjective


    

    




good