Large-scale machine translation: an interlingua approach
Deryle W. Lonsdale, Alexander M. Franz, John R. R. Leavitt · 1994
In this paper we discuss the design and development of an interlingua for a large-scale MT project. We also discuss how the resulting KANT interlingua constrains complexity, supports staged development, evolves in a balanced fashion, and seeks maximal coverage. We address issues such as granularity of the data representation, its specification, the types of information it encodes, and how it supports a modular system architecture. Our experience shows that through a careful, reasoned design and implementation effort, it is possible to achieve multilingual target-language generation for extensive technical domains. Keywords: Natural Language Processing, Knowledge Representation, Practical Applications 1 Introduction Varying degrees of success have been achieved by researchers and developers of machine translation (MT) systems. Automatic machine translation of technical text is possible, if the problem is approached the right way. Systems using a knowledge-based approach are usually ch...