WordNet based cross-language text categorization

被引：4
|
作者：
Amine, Bentaallah Mohamed [1 ]
Mimoun, Malki [1 ]
机构：
[1] Dept Comp Sci, EEDIS Lab, Sidi Bel Abbes 22000, Algeria
来源：
2007 IEEE/ACS INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS, VOLS 1 AND 2 | 2007年
关键词：
D O I：
10.1109/AICCSA.2007.370731
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This article is essentially dedicated to the Problem of Cross-Language Text Categorization, that consists in classifying documents in different languages according to the same classification tree. The proposed approach is based on the idea to spread the utilization of WordNet in Text Categorization towards Cross-Language Text Categorization. Experimental results of the bi-lingual classification of the ILO corpus (with the documents in English and Spanish) show that the idea we describe are promising and deserve further investigation.
引用
收藏
页码：848 / +
页数：3
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