The BLEU (Bilingual Evaluation Understudy) Score is a metric used to evaluate the quality of text generated by machine translation systems. It measures the correspondence between a machine-generated translation and one or more reference translations. The score ranges from 0 to 1, with higher scores indicating better quality translations. BLEU is particularly useful for comparing different translation models and assessing their performance on standardized datasets. Common use cases include evaluating translation systems in natural language processing and benchmarking machine learning models for language tasks.
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