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Generative AI with LLMs: What is BLEU and How is it Used for Text Translation?

Learn the definition and calculation of BLEU, a metric for evaluating machine-translated text based on precision, and how it is used for text translation tasks.


Which evaluation metric below focuses on precision in matching generated output to the reference text and is used for text translation?





The correct answer is C. BLEU. BLEU (Bilingual Evaluation Understudy) is a metric for evaluating the quality of text which has been machine-translated from one natural language to another. BLEU focuses on precision in matching generated output to the reference text by counting the number of n-grams (sequences of words) that are common between them. BLEU is widely used for text translation, as it correlates highly with human judgments of quality and is easy to understand and compute.

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Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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