A team is benchmarking an English-to-Spanish translation model and wants a standard automated metric to compare its output with reference translations. Which metric should they choose?
BLEU
ROUGE
F1 score
BERTScore
BLEU (Bilingual Evaluation Understudy) is the industry-standard automated metric for evaluating machine translation quality by measuring n-gram overlap between model output and reference translations. ROUGE is aimed at summarization, BERTScore measures semantic similarity using contextual embeddings, and F1 is a generic precision/recall measure rather than a translation-specific metric. Therefore, BLEU is the most appropriate choice for this use case.
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