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CER

Character error rate (CER)

June 19, 2026 | Artificial Intelligence | Joaquimma Anna

Character error rate (CER) is a metric used to measure the accuracy of text recognition systems by calculating the percentage of characters that are incorrectly predicted. It is commonly applied in fields such as speech recognition and optical character recognition to evaluate performance.

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Recent Articles

  • HELM (Holistic Evaluation of Language Models)
  • Homeopathic Remedies for Hayfever: Natural Relief That Actually Works
  • Conv-TasNet (speech separation)
  • Machine learning
  • Hierarchical reinforcement learning (HRL)
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