Score range	Float [0-1]: higher means better quality.
What is this metric?	The GLEU (Google-BLEU) score measures the similarity by shared n-grams between the generated text and ground truth, similar to the BLEU score, focusing on both precision and recall. But it addresses the drawbacks of the BLEU score using a per-sentence reward objective.
How does it work?	The GLEU score is computed by averaging the precision and recall of n-grams between the generated text and both the reference text and source text. It considers both the overlap of n-grams with the reference (similar to BLEU) and penalizes for over-generation. The score provides a balanced metric, where a value of 1 represents perfect overlap, and 0 represents no overlap.
When to use it?	The recommended scenario is Natural Language Processing (NLP) tasks. This balanced evaluation, designed for sentence-level assessment, makes it ideal for detailed analysis of translation quality. GLEU is well-suited for use cases such as machine translation, text summarization, and text generation.
What does it need as input?	Response, Ground Truth

Version: 3

View in Studio: https://ml.azure.com/registries/azureml/models/Gleu-Score-Evaluator/version/3

is-promptflow: True

is-evaluator: True

show-artifact: True

_default-display-file: ./GleuScoreEvaluator/_gleu.py