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What is the purpose of using subword tokenization?
Practice Questions
Q1
What is the purpose of using subword tokenization?
To handle out-of-vocabulary words
To increase the size of the vocabulary
To improve model training speed
To reduce the number of tokens
Questions & Step-by-Step Solutions
What is the purpose of using subword tokenization?
Steps
Concepts
Step 1: Understand that words can be very long or complex.
Step 2: Realize that some words may not be in the vocabulary of a language model.
Step 3: Learn that subword tokenization breaks these complex words into smaller parts called subwords.
Step 4: Know that these subwords are often found in the vocabulary, making them easier to understand.
Step 5: Conclude that this method helps the model process and understand new or rare words better.
No concepts available.
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