---
title: "Evaluating an NLG System using Post-Editing"
authors:
  - "Somayajulu Sripada"
  - "Ehud Reiter"
  - "Lezan Hawizy"
doi: ""
url: "https://ijcai.org/proceedings/2005/297"
pdf: "https://ijcai.org/proceedings/2005/0297.pdf"
venue: "Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence"
year: 2005
pages: "1700-1700"
track: ""
keywords:
---

# Evaluating an NLG System using Post-Editing

Somayajulu Sripada, Ehud Reiter, Lezan Hawizy

*Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence*, pages 1700-1700.

## Abstract

Computer-generated texts, whether from Natural Language Generation (NLG) or Machine Translation (MT) systems, are often post-edited by humans before being released to users. The frequency and type of post-edits is a measure of how well the system works, and can be used for evaluation. We describe how we have used post-edit data to evaluate SUMTIME-MOUSAM, an NLG system that produces weather forecasts.