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Question 1 1 3 pts In Natural Language Processing, word normalization means reducing words to a common base form. Lemmatization and stemming are examples of
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In Natural Language Processing, word normalization means reducing words to a common base form. Lemmatization and stemming are examples of word normalization.
Stemming refers to the process that reduces inflection in words to their root forms. Stemming aims to remove inflectional endings only, even if the stem itself is not a valid word in the language.
Lemmatization, unlike Stemming, reduces the inflected words properly ensuring that the root word belongs to the language.
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