The Temporal-Spatial Modeling of Vocabulary for Language Monitoring

被引：0
|
作者：
He, Wei [1 ]
Zou, Yu [1 ]
Teng, Yonglin [1 ]
Hou, Min [1 ]
Zhu, Weibin [2 ]
机构：
[1] Commun Univ China, Broadcast Media Language Res Ctr, Beijing 100024, Peoples R China
[2] Beijing Jiatong Univ, Inst Informat Sci, Beijing 100044, Peoples R China
来源：
INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL SCIENCES AND OPTIMIZATION, VOL 2, PROCEEDINGS | 2009年
基金：
芬兰科学院;
关键词：
D O I：
10.1109/CSO.2009.83
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In order to extract catchwords, new words and other kinds of words for language monitoring, this paper propose the temporal-spatial modeling, which seemed the sort of words as the representation of the different word's distribution in a uniform temporal-spatial system. The steady and dynamic features of the different distribution are given. Therefore various kinds of words could be identified and extracted according to the same feature set. The results of the experiment on catchword extraction show the modeling is effective and robustness for language monitoring.
引用
收藏
页码：396 / +
页数：2
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