Evaluation metrics for knowledge-based machine translation

Authors:
Eric H. Nyberg;Teruko Mitamura;Jaime G. Carbonell
Affiliations:
Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA
Venue:
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Year:
1994

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Abstract

A methodology is presented for component-based machine translation (MT) evaluation through causal error analysis to complement existing global evaluation methods. This methodology is particularly appropriate for knowledge-based machine translation (KBMT) systems. After a discussion of MT evaluation criteria and the particular evaluation metrics proposed for KBMT, we apply this methodology to a large-scale application of the KANT machine translation system, and present some sample results.