Paper: Hierarchical Lexical Structure And Interpretive Mapping In Machine Translation

ACL ID C92-4202
Title Hierarchical Lexical Structure And Interpretive Mapping In Machine Translation
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1992
Authors

Large-scale knowledge-based machine translation requires significant amounts of lexical knowledge in order to map syntactic structures to conceptual structures. Tfiis paper presents a framework in which lexical knowledge is separated into differ- ent levels of representation, which are arranged in a hierarchical model based on principles of knowl- edge representation and lexical semantics. The pro- posed methodology is language-independent, and has been used to organize lexical knowledge for both English and Japanese.