juniorNLP
What is lemmatization?
Updated May 17, 2026
Short answer
Lemmatization reduces words to their dictionary form using linguistic rules.
Deep explanation
Unlike stemming, lemmatization considers context and grammar to return valid lemmas. It uses vocabulary and morphological analysis.
Real-world example
Chatbots normalize user input using lemmatization for better intent detection.
Common mistakes
- Assuming lemmatization is faster than stemming
- ignoring POS tags.
Follow-up questions
- How does POS tagging help lemmatization?
- When is stemming preferred over lemmatization?