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Deep Learning Practice · Quiz 1 · 13 Jul 2025 · May 2025 term

Question 6: Which of the following statements accurately describe com…

Question 6

+4 marksOne or more correct options

Which of the following statements accurately describe common characteristics or goals of subword tokenization algorithms like BPE, WordPiece, or SentencePiece? (Select ALL that apply)

Select all that apply.

  1. A

    They aim to significantly reduce the vocabulary size compared to character- level tokenization.

  2. B

    They can handle out-of-vocabulary (OOV) words by breaking them into known subword units.

  3. C

    They primarily rely on merging the least frequent character or subword pairs to build the vocabulary.

  4. D

    They can represent common words as single tokens and rare words as sequences of subword tokens.

  5. E

    SentencePiece is designed to be language-agnostic, not requiring pre- segmentation based on spaces.

Show answer

Correct answers

  • B

    They can handle out-of-vocabulary (OOV) words by breaking them into known subword units.

  • D

    They can represent common words as single tokens and rare words as sequences of subword tokens.

  • E

    SentencePiece is designed to be language-agnostic, not requiring pre- segmentation based on spaces.

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Question 6 of 16 in the IIT Madras BS Deep Learning Practice (Deep Learning Practice) Quiz 1 paper sat on 13 Jul 2025, in the May 2025 term (IIT M DEGREE AN EXAM QDB2 13 July 2025). It carries 4 marks.

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