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A Multilingual Hierarchy Mapping Method Based on GHSOM
- Source :
- 2008 3rd International Conference on Innovative Computing Information and Control.
- Publication Year :
- 2008
- Publisher :
- IEEE, 2008.
-
Abstract
- With the increasing amount of multilingual texts in the Internet, multilingual text retrieval techniques have become an important research issue. However, the discovery of relationships between different languages remains an open problem. In this paper we propose a method, which applies the growing hierarchical self- organizing map (GHSOM) model, to discover knowledge from multilingual text documents. Multilingual parallel corpora were trained by the GHSOM to generate hierarchical feature maps. A discovery process is then applied on these maps to discover the relationships between documents of different languages. The relationships between keywords of different languages are also revealed. We conducted experiments on a set of Chinese-English bilingual parallel corpora to discover the relationships between documents of these languages.
- Subjects :
- Vocabulary
Hierarchy
Information retrieval
business.industry
Computer science
media_common.quotation_subject
InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL
computer.software_genre
Business process discovery
Data visualization
ComputingMethodologies_DOCUMENTANDTEXTPROCESSING
Feature (machine learning)
The Internet
Artificial intelligence
business
Cluster analysis
computer
Natural language
Natural language processing
media_common
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2008 3rd International Conference on Innovative Computing Information and Control
- Accession number :
- edsair.doi...........f3e04a34d270ac10af5b5c16014bcc5e