Peter Norvig
Natural Language Processing
A measurement of how well a probability model predicts a sample, commonly used in language models.
Detailed Explanation
Perplexity measures a language model's uncertainty in predicting the next word in a sequence. It indicates how well the model predicts a sample, with lower perplexity signifying better performance. Essentially, it gauges the model's ability to understand language complexities, making it a key metric for evaluating the effectiveness of probabilistic language models in Natural Language Processing tasks.
Use Cases
- •Evaluating language models' predictions on new text to assess their understanding and accuracy in generating coherent sentences.
Related Terms
Other terms in the Natural Language Processing category