BLEU (Bilingual Evaluation Understudy) is an automatic metric measuring similarity between machine-generated text and human reference translations based on n-gram overlap, scoring from 0 to 1. Widely used for evaluating machine translation, BLEU has known limitations: it cannot capture meaning, rewards repetition, and penalizes valid alternative phrasings. It remains a useful baseline despite its flaws.