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  1. 8 mar 2024 · BLEU (Bilingual Evaluation Understudy) is a score used to evaluate the translations performed by a machine translator. In this article, we’ll see the mathematics behind the BLEU score and its implementation in Python.

  2. 5 lis 2022 · GPT-3, Whisper, PaLM, NLLB, FLAN, and many others models have all been evaluated with the metric BLEU to claim their superiority in some tasks. But what is BLEU exactly? How does it work?

  3. 104K Followers, 168 Following, 180 Posts - Bleu Model Management (@bleumodelmgt) on Instagram: "Somos Bleu Model MGT! 💙 O maior e mais completo casting de diversidade do brasil. ⇩ Faça parte desse time ⇩".

  4. 9 maj 2021 · A Gentle Guide to two essential metrics (Bleu Score and Word Error Rate) for NLP models, in Plain English

  5. 30 maj 2024 · The BLEU (Bilingual Evaluation Understudy) score is a metric used to evaluate the quality of machine-generated translations compared to human translations. Introduced by Kishore Papineni and...

  6. en.wikipedia.org › wiki › BLEUBLEU - Wikipedia

    BLEU (bilingual evaluation understudy) is an algorithm for evaluating the quality of text which has been machine-translated from one natural language to another.

  7. 15 sty 2019 · Ana Marasović’s blog post “NLP’s generalization problem, and how researchers are tackling it” discusses how individual metrics, including BLEU, don’t capture models’ ability to handle data that differs from what they were exposed to during training. So what should you use instead?

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