NLG-Eval

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

Project Activity

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License

MIT License

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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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