Handling structural divergences and recovering dropped arguments in a Korean/English machine translation system

被引：0
|
作者：
Han, CH
Lavoie, B
Palmer, M
Rambow, O
Kittredge, R
Korelsky, T
Kim, N
Kim, M
机构：
[1] Univ Penn, Dept Comp & Informat Sci, IRCS, Philadelphia, PA 19104 USA
[2] CoGenTex Inc, Ithaca, NY 14850 USA
[3] AT&T Labs Res, Florham Pk, NJ 07932 USA
[4] Konan Technol Inc, Seoul 135090, South Korea
来源：
ENVISIONING MACHINE TRANSLATION IN THE INFORMATION FUTURE, PROCEEDINGS | 2000年 / 1934卷
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：
This paper describes an approach for handling structural divergences and recovering dropped arguments in an implemented Korean to English machine translation system. The approach relies on canonical predicate-argument structures (or dependency structures), which provide a suitable pivot representation for the handling of structural divergences and the recovery of dropped arguments. It can also be converted to and from the interface representations of many off-the-shelf parsers and generators.
引用
收藏
页码：40 / 53
页数：14
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