Large-scale Machine Translation: An Interlingua Approach

Authors

Deryle W. Lonsdale, Brigham Young UniversityFollow
Alexander M. Franz, Carnegie Mellon UniversityFollow
John R. R. Leavitt, Carnegie Mellon UniversityFollow

Keywords

Natural Language Processing, Knowledge Representation, Practical Applications

Abstract

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.

Original Publication Citation

Deryle W. Lonsdale, Alexander M, Franz, and John R. R. Leavitt (1994). Large-scale Machine Translation: An Interlingua Approach; Proceedings of the Seventh International Conference onIndustrial and Engineering Applications of Artificial Intelligence and Expert Systems(IEA/AIE-94), Gordon and Breach Science Publishers; pp. 525-530.

BYU ScholarsArchive Citation

Lonsdale, Deryle W.; Franz, Alexander M.; and Leavitt, John R. R., "Large-scale Machine Translation: An Interlingua Approach" (1994). Faculty Publications. 6825.
https://scholarsarchive.byu.edu/facpub/6825

Document Type

Conference Paper

Publication Date

1994

Publisher

Gordon and Breach Science Publishers

Language

English

College

Humanities

Department

Linguistics and English Language

University Standing at Time of Publication

Associate Professor

Copyright Use Information

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