Paper: An Empirical Study Of Multilingual Natural Language Generation: What Should A Text Planner Do?

ACL ID W00-1403
Title An Empirical Study Of Multilingual Natural Language Generation: What Should A Text Planner Do?
Venue International Conference on Natural Language Generation
Session Main Conference
Year 2000
Authors

We present discourse annotation work aimed at con- structing a parallel corpus of Rhetorical Structure trees for a collection of Japanese texts and their cor- responding English translations. We discuss impli- cations of our empirical findings for the task of text planning in the context of implementing multilingual natural language generation systems.