Title :
Real-time generation of natural language
Author :
Patten, Terry ; Stoops, Daniel S.
Author_Institution :
Dept. of Comput. & Inf. Sci., Ohio State Univ., Columbus, OH, USA
Abstract :
A language-generation approach that benefits significantly from object-oriented techniques is presented. The system achieves simplicity and efficiency from a C++ implementation of linguistic knowledge. Sentences tailored for specific contexts and for specific readers are generated in real time, even when a large English grammar is processed. A sample problem illustrates the method. Limitations and implications of the approach are discussed.<>
Keywords :
knowledge based systems; natural languages; object-oriented programming; real-time systems; C++ implementation; language-generation approach; large English grammar; linguistic knowledge; natural language; object-oriented techniques; real time; Artificial intelligence; Birds; Knowledge management; Marine animals; Mars; Natural languages; Object oriented modeling; Pediatrics; Real time systems; Testing;
Journal_Title :
IEEE Expert
