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Related Questions
- What are the key differences between BLEU and ROUGE metrics in evaluating machine translation?
- Why are BLEU and ROUGE metrics widely adopted in the natural language processing community?
- Can you explain the strengths and limitations of BLEU and ROUGE metrics in evaluating question answering systems?
- How do BLEU and ROUGE metrics handle nuances in language such as idioms and colloquialisms?
- Are there any alternative metrics to BLEU and ROUGE that are gaining popularity in the NLP community?
- Can you provide examples of how BLEU and ROUGE metrics are used in real-world applications such as machine translation and text summarization?
- How do BLEU and ROUGE metrics account for the complexity of human language and the variability of human responses?
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