Generation of word graphs in statistical machine translation

被引：0
|
作者：
Ueffing, N [1 ]
Och, FJ [1 ]
Ney, H [1 ]
机构：
[1] Rhein Westfal TH Aachen, Dept Comp Sci, Lehrstuhl Informat 6, D-52056 Aachen, Germany
来源：
PROCEEDINGS OF THE 2002 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING | 2002年
关键词：
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：
Statistical machine translation systems usually compute the single sentence that has the highest probability according to the models that are trained on data. We describe a method for constructing a word graph to represent alternative hypotheses in an efficient way. The advantage is that these hypotheses can be rescored using a refined language or translation model. Results are presented on the German-English Verbmobil corpus.
引用
收藏
页码：156 / 163
页数：8
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