Associative Language Learning Support Applying Graph Clustering For Vocabulary Learning and Improving Associative Ability
Jae-Young Jung, Nobuyasu Makoshi, Hiroyuki Akama · 2008
In this study, we propose a new Web-based associative language learning system, called ALL It assumes that word association exercise and associative information about words would be useful for vocabulary learning and improving associative ability. For this, word association sources are used, and a graph theory and a graph clustering are employed as suitable tools for organizing the data structure and for mining meaningful information from it.