Blockchain in AI
Natural Language Processing
A metric for evaluating machine-translated text against reference translations.
Detailed Explanation
The BLEU Score (Bilingual Evaluation Understudy) is a widely used metric in Natural Language Processing to assess the quality of machine-translated text. It compares the output to one or more reference translations, measuring the overlap of n-grams, and accounts for precision and brevity. Higher scores indicate translations that are more similar to human references, reflecting better translation quality.
Use Cases
- •Evaluating machine translation accuracy to improve model outputs during development.
Related Terms
Other terms in the Natural Language Processing category