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import spacy
# Load the Spacy model for English language
nlp = spacy.load('en_core_web_sm')
def lemmatize_word(sentence):
# Parse the sentence using Spacy
doc = nlp(sentence)
# Lemmatize each word in the sentence
lemmatized_words = [token.lemma_ for token in doc]
# Join back the lemmatized words into a sentence
lemmatized_sentence = ' '.join(lemmatized_words)
return lemmatized_sentenceEditor is loading...