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A comparison of head transducers and transfer for a limited domain translation application
1997
Proceedings of the 35th annual meeting on Association for Computational Linguistics -
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.
doi:10.3115/976909.979663
dblp:conf/acl/AlshawiBX97
fatcat:65dazm2czrh7rc4xnqwhzxk5eu