Which technique groups words into a common base form based on meaning and part of speech?

Which technique groups words into a common base form based on meaning and part of speech?

• A. Stop Word Removal
• B. Stemming
• C. Feature Extraction
• D. Lemmatization

Answer: (D)

Grouping words into a common base form based on meaning and part of speech is lemmatization. This approach uses a dictionary and the word’s grammatical role to map each inflected or variant form to its canonical lemma, yielding a real dictionary word that preserves the intended meaning. For example, depending on context and POS, a form like running as a verb maps to run, and better as an adjective maps to good. The result is a standard form you can compare across texts, which is why lemmatization is preferred when you need true base forms tied to language meaning. Stemming, by contrast, just chops endings and can produce non-dictionary forms and mixed meanings; stop word removal focuses on removing common words rather than normalizing forms; feature extraction is a broader concept not specifically about base-form normalization.

Grouping words into a common base form based on meaning and part of speech is lemmatization. This approach uses a dictionary and the word’s grammatical role to map each inflected or variant form to its canonical lemma, yielding a real dictionary word that preserves the intended meaning. For example, depending on context and POS, a form like running as a verb maps to run, and better as an adjective maps to good. The result is a standard form you can compare across texts, which is why lemmatization is preferred when you need true base forms tied to language meaning. Stemming, by contrast, just chops endings and can produce non-dictionary forms and mixed meanings; stop word removal focuses on removing common words rather than normalizing forms; feature extraction is a broader concept not specifically about base-form normalization.