What is the BLEU score in natural language processing?
The BLEU score is a metric for evaluating the quality of text generated by a machine, comparing it to a reference text.
How is the BLEU score calculated?
It calculates precision by comparing n-grams of the generated text to those in the reference text, with a penalty for shorter outputs.
What are the limitations of using BLEU score?
BLEU score doesn't account for semantic meaning, can be biased towards longer texts, and may not reflect human judgment accurately.
Are there alternatives to BLEU score for evaluating text generation?
Yes, alternatives include ROUGE, METEOR, and newer metrics like BERTScore that consider semantic similarity.
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