What is the BLEU score in NLP models?
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What is the BLEU score in NLP models?
The BLEU score is a metric for evaluating the quality of text generated by machine translation models by comparing it to reference translations.
How is the BLEU score calculated?
The BLEU score is calculated by comparing n-grams of the generated text to n-grams of reference texts, considering precision and applying a brevity penalty.
What are the limitations of using BLEU score?
Some limitations include its inability to capture semantic meaning, reliance on exact matches, and sensitivity to the length of the generated text.
Are there any alternatives to BLEU score?
Yes, alternatives include METEOR, ROUGE, and TER, which consider different aspects of text quality and meaning.
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