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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of tokenization in NLP?
💡 Hint: Think about how text is structured.
Question 2
Easy
List a type of token that can result from tokenization.
💡 Hint: What smaller components do texts consist of?
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does tokenization do?
- Convert text to images
- Breaks text into smaller units
- Translates texts to other languages
💡 Hint: Think about what happens to sentences and how they're analyzed.
Question 2
True or False: Tokenization is the last step in the NLP preprocessing pipeline.
- True
- False
💡 Hint: Recall the order of steps involved in text processing.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given the text 'The quick brown fox jumps over the lazy dog', implement a tokenization function that returns the tokens without punctuation.
💡 Hint: How can you use string methods for splitting and regex for cleaning?
Question 2
Consider a text from social media filled with emojis and slang. Discuss how you would approach tokenization in this scenario.
💡 Hint: What special characters or words should we seek to define as separate tokens?
Challenge and get performance evaluation