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Which model should you prefer if you want better phrase matching and why?

hard📝 Metrics Q15 of 15
NLP - Text Generation
You have two text generation models. Model A has a BLEU score of 0.45 and ROUGE-L score of 0.60. Model B has a BLEU score of 0.55 and ROUGE-L score of 0.50. Which model should you prefer if you want better phrase matching and why?
AModel A, because lower BLEU means better phrase matching
BModel A, because higher ROUGE-L means better phrase matching
CModel B, because lower ROUGE-L means better phrase matching
DModel B, because higher BLEU means better phrase matching
Step-by-Step Solution
Solution:
  1. Step 1: Understand BLEU and ROUGE focus

    BLEU focuses on phrase matching; ROUGE-L focuses on longest common subsequence (word overlap).
  2. Step 2: Compare scores for phrase matching

    Model B has higher BLEU (0.55) than Model A (0.45), so Model B is better for phrase matching.
  3. Final Answer:

    Model B, because higher BLEU means better phrase matching -> Option D
  4. Quick Check:

    Higher BLEU = better phrase matching [OK]
Quick Trick: BLEU = phrase match; ROUGE = word overlap [OK]
Common Mistakes:
MISTAKES
  • Confusing BLEU and ROUGE meanings
  • Choosing model with higher ROUGE for phrase matching
  • Ignoring which metric matches the goal

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