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Pattern Recognition of Contextual Features for English Modal Verb shall in Word Sense Disambiguation

被引：0
|
作者：
Li, Hong-bo [1 ]
Yu, Jian-ping [1 ]
机构：
[1] Yanshan Univ, Coll Foreign Studies, Qinhuangdao 066004, Hebei, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND MANAGEMENT ENGINEERING (ITME 2014) | 2014年
关键词：
Pattern recognition; Semantic features; Syntactic features; Structural partial-ordered attribute diagram;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Pattern recognition for English modal verb shall in word sense disambiguation (WSD) is conducted in this paper. With the approach of structural partial-ordered attribute diagram, a WSD model for shall is constructed and the accuracy is 95.5%. Then based on the WSD model, contextual patterns for the different senses of shall are identified. The patterns are plausible in disambiguating the senses of shall and the results can be applied in the field of machine learning and natural language processing. The approach offers a novel perspective for the study of English modal verbs as well.
引用
收藏
页码：512 / 516
页数：5
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