NLG-Eval is a toolkit for evaluating the quality of natural language generation (NLG) outputs using multiple automated metrics such as BLEU, METEOR, and ROUGE.

Features

  • Implements multiple NLG evaluation metrics
  • Supports sentence-level and corpus-level evaluations
  • Works with machine translation, summarization, and chatbot output
  • Provides command-line and Python API access
  • Allows custom metric integration
  • Optimized for large-scale NLG benchmarking

Project Samples

NLG-Eval Screenshot 1

Project Activity

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Categories

Natural Language Processing (NLP)

License

MIT License

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NLG-Eval Web Site

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Natural Language Processing (NLP) Tool

Registered

2025-01-23
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