Web Reference: Jan 5, 2026 · While stemming cuts words down to their root by trimming endings, lemmatization uses linguistic rules to return meaningful base words (lemmas). Understanding the difference helps improve text analysis, search accuracy and NLP model performance. The two may also differ in that stemming most commonly collapses derivationally related words, whereas lemmatization commonly only collapses the different inflectional forms of a lemma. Stemming is a technique used to extract the base form of the words by removing affixes from them. It is just like cutting down the branches of a tree to its stems. For example, the stem of the words eating, eats, eaten is eat. Search engines use stemming for indexing the words. That’s why rather than storing all forms of a word, a search engine can...
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