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

被引：0
|
作者：
Alshawi, H [1 ]
Buchsbaum, AL [1 ]
Xia, F [1 ]
机构：
[1] AT&T Bell Labs, Florham Park, NJ 07932 USA
来源：
35TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 8TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE | 1997年
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D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：360 / 365
页数：6
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