Paper: Towards Linguistic Knowledge Discovery Assistants: Application To Learning Lexical Properties Of Chinese Characters

ACL ID C94-1046
Title Towards Linguistic Knowledge Discovery Assistants: Application To Learning Lexical Properties Of Chinese Characters
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1994
Authors
  • Georges Fafiotte (Institute of Information and Applied Mathematics Grenoble, Grenoble France; University of Grenoble 1, Grenoble France; CNRS, France)
  • Francois Tcheou

It is highly desirable that users of systems which include NLP-based components, ranging from grmnmar- checkers to MT systems, can access the underlying Linguistic Knowledge Base in a natural and gratifying way. Our research aims at developing such Linguistic Discovery Assistants by merging hyperdocumcnts, Data Base Management Systems and interpretive adaptive interfaces. We have followed a stepwise approach to the idea in the context of the discovery and learning of lcxical properties of Chinese eh,'uacters, by developing several prototypes. We see this system as a facet of a broader base including dictionary knowledge. Keywords Cooperative Discovery Assistant, I,inguistic Knowledge Observatory, Lexical Properties Discovery, Computer Aided Learning, Kanji, I lanzi, Chinese Characters 1. M...