A comparison of head transducers and transfer for a limited domain translation application

Authors:
Hiyan Alshawi;Adam L. Buchsbaum;Fei Xia
Affiliations:
AT&T Labs, Florham Park, NJ;AT&T Labs, Florham Park, NJ;University of Pennsylvania, Philadelphia, PA
Venue:
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Year:
1997

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Abstract

We compare the effectiveness of two related machine translation models applied to the same limited-domain task. One is a transfer model with monolingual head automata for analysis and generation; the other is a direct transduction model based on bilingual head transducers. We conclude that the head transducer model is more effective according to measures of accuracy, computational requirements, model size, and development effort.