Hierarchical lexical structure and interpretive mapping in machine translation

Authors:
Teruko Mitamura;Eric H. Nyberg
Affiliations:
Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA
Venue:
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 4
Year:
1992

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Abstract

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.