Hierarchical Lexical Structure And Interpretive Mapping In Machine Translation

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

• Type: Conference
• Year: 1992
• Where: COLING
• Authors: Teruko Mitamura, Eric Nyberg
• Keywords: COLING 1992, COLING 2008, Large-scale Knowledge-based Machine, Lexical Knowledge, Lexical Semantics