A Term-based Cross-Cultural Computing System for Multilingual Analysis with Phonological-Semantic Vector Spaces
Totok Suhardijanto, Ali Ridho Barakbah, Yasushi Kiyoki · Frontiers in artificial intelligence and applications · 2012
This paper proposes a cross-cultural computing system that deals with multilingual analysis. This system focuses on a cultural aspect comparison that is based on linguistic basic elements. The most important task of our system is to realize a cross-cultural computation in the framework of correlation computation by using vectorized numeric data that express cultural aspects in some concepts and objects with regard to speech sounds.