rouge and ROUGE-2.0

Tool A is a JavaScript implementation of the ROUGE metric, likely for client-side or web-based integration, while Tool B is a more comprehensive ROUGE toolkit with broader language support and output options, suggesting Tool B might be a more general-purpose and robust competitor to Tool A for offline or server-side evaluation.

rouge
66
Established
ROUGE-2.0
45
Emerging
Maintenance 10/25
Adoption 13/25
Maturity 25/25
Community 18/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 19/25
Stars: 44
Forks: 13
Downloads:
Commits (30d): 0
Language: JavaScript
License: MIT
Stars: 220
Forks: 37
Downloads:
Commits (30d): 0
Language: Java
License: Apache-2.0
No risk flags
Stale 6m No Package No Dependents

About rouge

kenlimmj/rouge

A Javascript implementation of the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) evaluation metric for summaries.

This tool helps developers working on natural language processing projects to automatically evaluate the quality of text summaries. You provide a summary generated by your system and one or more reference summaries written by humans, and it outputs a score indicating how well your summary matches the references. This is designed for software engineers building and testing text summarization algorithms.

natural-language-processing text-summarization algorithm-evaluation software-development data-science

About ROUGE-2.0

kavgan/ROUGE-2.0

ROUGE automatic summarization evaluation toolkit. Support for ROUGE-[N, L, S, SU], stemming and stopwords in different languages, unicode text evaluation, CSV output.

This tool helps researchers and developers evaluate how good their automatically generated text summaries or translations are. You provide both the summary created by your system and one or more human-written 'reference' summaries. It then calculates various ROUGE scores, indicating how closely your system's output matches human quality, and outputs them in a CSV file. It's used by anyone developing or refining natural language processing models for summarization or translation.

text-summarization machine-translation natural-language-processing model-evaluation linguistics

Scores updated daily from GitHub, PyPI, and npm data. How scores work