What is BiLingual Evaluation Understudy (BLEU) Score for Machine Translation?
Nikee Tomas2025-06-24T03:38:03+00:00What is BLEU? BLEU (BiLingual Evaluation Understudy) is a corpus-level metric designed to automatically evaluate the quality of machine-generated text, most commonly in machine translation (MT). It compares n-gram overlap between the machine’s output and one or more human reference translations. Introduced by Papineni et al. (2002), BLEU became the first automated metric to correlate highly with human judgments in large-scale MT evaluations. It remains a widely used baseline for evaluating machine-generated text. Common Use Cases The BLEU score is widely used in natural language processing tasks that require comparing machine-generated text to human-written references. Its primary application lies in evaluating [...]