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

Question 1: A start-up is building a new language model for a low-res…

Question 1

+2 marksOne correct option

A start-up is building a new language model for a low-resource language with many compound words and complex morphology. They are debating tokenization strategies. Which of the following approaches is most likely to offer the best balance between vocabulary size, handling OOV words, and capturing morphological variants effectively for this scenario?

  1. A

    Character-level tokenization

  2. B

    Word-level tokenization with a fixed vocabulary of 50,000 common words.

  3. C

    Subword tokenization (e.g., BPE or SentencePiece) trained on the available corpus.

  4. D

    Using only pre-defined special tokens and treating all other text as raw byte sequences.

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Correct answer

  • C

    Subword tokenization (e.g., BPE or SentencePiece) trained on the available corpus.

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Question 1 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 2 marks.

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