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Lemmatizer In NLP

This article explains the lemmatizer in NLP.

Purpose

A lemmatizer is a tool that reduces a word to its lemma (the base or dictionary form of the word).

Example

Consider the following code: -

from nltk.stem import WordNetLemmatizer

lemmatizer = WordNetLemmatizer()

print(lemmatizer.lemmatize("studies"))      # study
print(lemmatizer.lemmatize("better", pos="a"))  # good (adjective)
print(lemmatizer.lemmatize("running", pos="v")) # run (verb)

Output

Posted By -	Karan Gupta

Posted On -	Wednesday, August 27, 2025

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