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import nltk
from nltk.stem import WordNetLemmatizer
# Instantiate a lemmatizer object
lemmatizer = WordNetLemmatizer()
def lemmatize(sentence):
# Tokenize the sentence
tokenized_words=nltk.word_tokenize(sentence)
#Lemmatize each word in a sentence
lemmatized_words=[lemmatizer.lemmatize(word) for word in tokenized_words]
#Join back in a sentence
lemmatized_sentence=" ".join(lemmatized_words)
return lemmatized_sentenceEditor is loading...