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How can you combine BLEU and ROUGE scores to better evaluate a text generation model?

hard📝 Application Q9 of 15
NLP - Text Generation
How can you combine BLEU and ROUGE scores to better evaluate a text generation model?
AUse BLEU for classification accuracy and ROUGE for sentiment
BUse BLEU for speed and ROUGE for memory usage
CUse ROUGE only, BLEU is not useful together
DUse BLEU for fluency and ROUGE for content coverage
Step-by-Step Solution
Solution:

  1. Step 1: Understand BLEU and ROUGE roles

    BLEU measures n-gram precision (fluency), ROUGE measures recall (content coverage).

  2. Step 2: Combine metrics for balanced evaluation

    Using both gives insight into fluency and content quality.

  3. Final Answer:

    Use BLEU for fluency and ROUGE for content coverage -> Option D

  4. Quick Check:

    BLEU fluency + ROUGE content = B [OK]
Quick Trick: BLEU checks fluency; ROUGE checks content coverage [OK]
Common Mistakes:
MISTAKES
  • Mixing BLEU with classification metrics
  • Ignoring complementary roles of BLEU and ROUGE
  • Misunderstanding metric purposes

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