Reductionistic, tree and rule based tagger for Polish

被引：0
|
作者：
Piasecki, Maciej [1 ]
Godlewski, Grzegorz [1 ]
机构：
[1] Wroclaw Univ Technol, Inst Appl Informat, Wybrzeze Wyspianskiego 27, Wroclaw, Poland
来源：
INTELLIGENT INFORMATION PROCESSING AND WEB MINING, PROCEEDINGS | 2006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：
The paper presents an approach to tagging of Polish based on the combination of handmade reduction rules and selecting rules acquired by Induction of Decision Trees. The general open architecture of the tagger is presented, where the overall process of tagging is divided into subsequent steps and the overall problem is reduced to subproblems of ambiguity classes. A special language of constraints and the use of constraints as elements of decision trees are described. The results of the experiments performed with the tagger are also presented.
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页码：531 / +
页数：2
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