Natural Language Generation for Legal Expert System and Visualization of Generation Process
Takashi Miyata and Yuji Matsumoto
Graduate School of Information Science,
Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara 630-01, Japan
An HPSG-based grammar and a sentence generation system for a small set of Japanese in legal expert domains are constructed. The system adopts its own general semantic system in which a domain-specific logical form is converted. This separation between domain-specific and linguistic semantics gives flexibility to both task processing and sentence generation. We also propose a visualization system which shows the generation process in a tabular form and operates as a graphical user interface for grammar debugging.