What is tokenization used for in natural language processing (NLP)?

The correct answer is C. To break text into smaller units for processing. Tokenization is the process of dividing text into smaller units, such as words, subwords, or characters, which can then be analyzed or processed by NLP models. It is a foundational step in preparing text data for machine learning.

Submitted by fernanda_arg· Mar 30, 2026Natural Language Processing

Question

Options

ATo encrypt text data
BTo compress text files
CTo break text into smaller units for processing
DTo translate text between languages

How the community answered

(40 responses)

A
8% (3)
B
3% (1)
C
88% (35)
D
3% (1)

Explanation

Tokenization is the process of dividing text into smaller units, such as words, subwords, or characters, which can then be analyzed or processed by NLP models. It is a foundational step in preparing text data for machine learning.

Topics

#NLP Tokenization#Text Preprocessing

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