Phrasal cohesion and statistical machine translation

被引：0
|
作者：
Fox, HJ [1 ]
机构：
[1] Brown Univ, Dept Comp Sci, Brown Lab Linguist Informat Proc, Providence, RI 02912 USA
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：
There has been much interest in using phrasal movement to improve statistical machine translation. We explore how well phrases cohere across two languages, specifically English and French, and examine the particular conditions under which they do not. We demonstrate that while there are cases where coherence is poor, there are many regularities which can be exploited by a statistical machine translation system. We also compare three variant syntactic representations to determine which one has the best properties with respect to cohesion.
引用
收藏
页码：304 / 311
页数：8
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