摘要：This article is essentially dedicated to the problem of Multilingual 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 Multilingual 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.
关键词：Multilingual, Text Categorization, WordNet, ILO corpus, Reuters-21578.
