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Related Questions
- What are the scenarios where ROUGE score is more suitable than BLEU or METEOR for evaluating machine translation quality?
- How does ROUGE score differ from BLEU and METEOR in terms of its evaluation criteria and application scenarios?
- In which types of text summarization or machine translation tasks is ROUGE score considered a better metric than BLEU or METEOR?
- What are the strengths and limitations of ROUGE score compared to BLEU and METEOR in evaluating the quality of generated text?
- Can ROUGE score be used to evaluate the quality of text summarization or machine translation models in specific domains or industries?
- How does the choice of ROUGE score over BLEU or METEOR impact the training and evaluation of machine translation models?
- What are the implications of using ROUGE score instead of BLEU or METEOR in the evaluation of machine translation quality in real-world applications?
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