Question

How does text normalization reduce the vocabulary of a corpus?

Topic	NLP
Type	Very short answer
Class	10

Answer 1

In text normalization, the text is reduced to a minimum vocabulary by— 

 (i) eliminating stop words, special characters, and numbers from the vocabulary of a corpus.

(ii) Deleting the affixes and converting the words to their base form using stemming and lemmatization.

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