Automating knowledge acquisition for machine translation

被引：0
|
作者：
Knight, K [1 ]
机构：
[1] Univ So Calif, Inst Informat Sci, Los Angeles, CA 90089 USA
来源：
AI MAGAZINE | 1997年 / 18卷 / 04期
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：
Machine translation of human languages (for example, Japanese, English, Spanish) was one of the earliest goals of computer science research, and it remains an elusive one. Like many Al tasks, translation requires an immense amount of knowledge about language and the world. Recent approaches to machine translation frequently make use of text-based learning algorithms to fully or partially automate the acquisition of knowledge. This article illustrates these approaches.
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收藏
页码：81 / 96
页数：16
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